From 4cfe97cea18218a47030e5035cd993f99e22f431 Mon Sep 17 00:00:00 2001 From: Elisabetta Iavarone <18575092+elisabettai@users.noreply.github.com> Date: Wed, 24 Apr 2024 16:44:27 +0200 Subject: [PATCH] First version --- .bumpversion.cfg | 17 + .cookiecutterrc | 40 + .github/CODEOWNERS | 14 + .github/ISSUE_TEMPLATE/ask_question.md | 14 + .github/ISSUE_TEMPLATE/bug_report.md | 43 + .github/ISSUE_TEMPLATE/feature_request.md | 27 + .github/workflows/check-image.yml | 22 + .gitignore | 22 + .osparc/docker-compose.overwrite.yml | 5 + .osparc/metadata.yml | 78 + .osparc/runtime.yml | 20 + CHANGELOG.md | 4 + Dockerfile | 78 + Makefile | 105 + README.ipynb | 58 + README.md | 76 +- boot_scripts/boot_notebook.bash | 81 + boot_scripts/entrypoint.bash | 80 + docker-compose-local.yml | 15 + env-config/r/requirements.txt | 14 + validation/inputs/.gitkeep | 0 validation/outputs/.gitkeep | 0 .../.Trash-1000/files/notebook.ipynb | 83 + .../.Trash-1000/info/notebook.ipynb.trashinfo | 3 + validation/workspace/.gitkeep | 0 validation/workspace/IMA_analyzed_data-1.xlsx | Bin 0 -> 45623 bytes validation/workspace/README.ipynb | 58 + .../Spatial stomach analysis-BF.ipynb | 1207 +++++++ validation/workspace/Untitled.ipynb | 29 + validation/workspace/index.ipynb | 3030 +++++++++++++++++ validation/workspace/req.R | 60 + validation/workspace/req.txt | 60 + validation/workspace/table1.html | 2915 ++++++++++++++++ 33 files changed, 8221 insertions(+), 37 deletions(-) create mode 100644 .bumpversion.cfg create mode 100644 .cookiecutterrc create mode 100644 .github/CODEOWNERS create mode 100644 .github/ISSUE_TEMPLATE/ask_question.md create mode 100644 .github/ISSUE_TEMPLATE/bug_report.md create mode 100644 .github/ISSUE_TEMPLATE/feature_request.md create mode 100644 .github/workflows/check-image.yml create mode 100644 .gitignore create mode 100644 .osparc/docker-compose.overwrite.yml create mode 100644 .osparc/metadata.yml create mode 100644 .osparc/runtime.yml create mode 100644 CHANGELOG.md create mode 100644 Dockerfile create mode 100644 Makefile create mode 100644 README.ipynb create mode 100755 boot_scripts/boot_notebook.bash create mode 100755 boot_scripts/entrypoint.bash create mode 100644 docker-compose-local.yml create mode 100644 env-config/r/requirements.txt create mode 100644 validation/inputs/.gitkeep create mode 100644 validation/outputs/.gitkeep create mode 100644 validation/workspace/.Trash-1000/files/notebook.ipynb create mode 100644 validation/workspace/.Trash-1000/info/notebook.ipynb.trashinfo create mode 100644 validation/workspace/.gitkeep create mode 100644 validation/workspace/IMA_analyzed_data-1.xlsx create mode 100644 validation/workspace/README.ipynb create mode 100644 validation/workspace/Spatial stomach analysis-BF.ipynb create mode 100644 validation/workspace/Untitled.ipynb create mode 100644 validation/workspace/index.ipynb create mode 100644 validation/workspace/req.R create mode 100644 validation/workspace/req.txt create mode 100644 validation/workspace/table1.html diff --git a/.bumpversion.cfg b/.bumpversion.cfg new file mode 100644 index 0000000..0a82ba1 --- /dev/null +++ b/.bumpversion.cfg @@ -0,0 +1,17 @@ +[bumpversion] +current_version = 1.0.0 +commit = False +message = service version: {current_version} → {new_version} +tag = False + +[bumpversion:file:.osparc/metadata.yml] +search = {current_version} +replace = {new_version} + +[bumpversion:file:Makefile] +search = {current_version} +replace = {new_version} + +[bumpversion:file:docker-compose-local.yml] +search = {current_version} +replace = {new_version} diff --git a/.cookiecutterrc b/.cookiecutterrc new file mode 100644 index 0000000..5ad263c --- /dev/null +++ b/.cookiecutterrc @@ -0,0 +1,40 @@ +# This file exists so you can easily regenerate your project. +# +# `cookiepatcher` is a convenient shim around `cookiecutter` +# for regenerating projects (it will generate a .cookiecutterrc +# automatically for any template). To use it: +# +# pip install cookiepatcher +# cookiepatcher gh:itisfoundation/cookiecutter-osparc-service project-path +# +# See: +# https://pypi.python.org/pypi/cookiepatcher +# +# Alternatively, you can run: +# +# cookiecutter --overwrite-if-exists --config-file=project-path/.cookiecutterrc gh:itisfoundation/cookiecutter-osparc-service +# + +default_context: + + _checkout: None + _output_dir: '/home/iavarone/repos' + _repo_dir: '/home/iavarone/.cookiecutters/cookiecutter-osparc-jupyterlab-service' + _template: 'git+ssh://git@github.com/ITISFoundation/cookiecutter-osparc-jupyterlab-service' + author_affiliation: "IT'IS Foundation" + author_email: 'iavarone@itis.swiss' + author_name: 'Elisabetta Iavarone' + contact_email: 'iavarone@itis.swiss' + docker_base: 'quay.io/jupyter/r-notebook:r-4.3.3' + git_repo: 'github' + git_username: 'elisabettai' + number_of_inputs: '4' + number_of_outputs: '4' + project_name: 'JupyterLab R' + project_package_name: 'jupyterlab_r' + project_short_description: 'JupyterLab coding environment for creating interactive Jupyter Notebooks with R (or Python)' + project_slug: 'jupyterlab-r' + release_date: '2024' + resources_CPU_nanoCPUs: '4000000000' + resources_RAM_nanoBytes: '16000000000' + version: '1.0.0' diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS new file mode 100644 index 0000000..d00e23b --- /dev/null +++ b/.github/CODEOWNERS @@ -0,0 +1,14 @@ + +# Maps code in repository with maintainers +# Order is important. The last matching pattern has the most precedence. +# SEE https://docs.github.com/en/free-pro-team@latest/github/creating-cloning-and-archiving-repositories/about-code-owners#example-of-a-codeowners-file + + +# files and folders recursively +Dockerfile @elisabettai +Makefile @elisabettai + +# NOTE: '/' denotes the root of the repository +/.github/ @elisabettai +/.osparc/ @elisabettai + diff --git a/.github/ISSUE_TEMPLATE/ask_question.md b/.github/ISSUE_TEMPLATE/ask_question.md new file mode 100644 index 0000000..1c17178 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/ask_question.md @@ -0,0 +1,14 @@ +--- +name: 💬 Question +about: Ask a question +labels: question +--- + +## What version of this service are you using? + + + +## How can we help you? diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md new file mode 100644 index 0000000..55d5e3d --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug_report.md @@ -0,0 +1,43 @@ +--- +name: 🐛 Bug +about: File a bug/issue +labels: bug +--- + +## What version of this service are you using? + + + + + +## Long story short + + + +## Expected behaviour + + + +## Actual behaviour + + + +## Steps to reproduce + + + +## Your environment + + diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md new file mode 100644 index 0000000..669221a --- /dev/null +++ b/.github/ISSUE_TEMPLATE/feature_request.md @@ -0,0 +1,27 @@ +--- +name: ✨ Feature request +about: Suggest an idea to implement +labels: enhancement +--- + +## User Story + + + +## Example + + + + +## Definition of Done + diff --git a/.github/workflows/check-image.yml b/.github/workflows/check-image.yml new file mode 100644 index 0000000..61676d3 --- /dev/null +++ b/.github/workflows/check-image.yml @@ -0,0 +1,22 @@ +name: Build and check image + +on: [push, pull_request] + +jobs: + verify-image-build: + runs-on: ubuntu-latest + steps: + - name: Checkout repo content + uses: actions/checkout@v2 + - name: ooil version + uses: docker://itisfoundation/ci-service-integration-library:v1.0.4 + with: + args: ooil --version + - name: Assemble docker compose spec + uses: docker://itisfoundation/ci-service-integration-library:v1.0.4 + with: + args: ooil compose + - name: Build all images if multiple + uses: docker://itisfoundation/ci-service-integration-library:v1.0.4 + with: + args: docker compose build diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..4f2e273 --- /dev/null +++ b/.gitignore @@ -0,0 +1,22 @@ +## Common.gitignore + +# temporary folders +tmp/ + +# explicit mark +*ignore* +.tmp* + +# vscode configuration +.vscode + +# make outputs +pytest_*.xml +docker-compose.yml + +# validation folder +!validation/**/* +# docker ignore +!.dockerignore +# git ignore +!.gitignore diff --git a/.osparc/docker-compose.overwrite.yml b/.osparc/docker-compose.overwrite.yml new file mode 100644 index 0000000..0cb523c --- /dev/null +++ b/.osparc/docker-compose.overwrite.yml @@ -0,0 +1,5 @@ +version: "3.7" +services: + jupyterlab-r: + build: + dockerfile: Dockerfile diff --git a/.osparc/metadata.yml b/.osparc/metadata.yml new file mode 100644 index 0000000..ed62d4a --- /dev/null +++ b/.osparc/metadata.yml @@ -0,0 +1,78 @@ +name: JupyterLab R +key: simcore/services/dynamic/jupyterlab-r +type: dynamic +integration-version: 2.0.0 +version: 1.0.0 +description: JupyterLab coding environment for creating interactive Jupyter Notebooks with R (or Python) +contact: iavarone@itis.swiss +thumbnail: https://upload.wikimedia.org/wikipedia/commons/thumb/1/1b/R_logo.svg/1280px-R_logo.svg.png +authors: + - name: Elisabetta Iavarone + email: iavarone@itis.swiss + affiliation: IT'IS Foundation +inputs: + input_1: + displayOrder: 1 + label: input_file_1 + description: + Any input files. One or several files compressed in a zip will be + downloaded in an inputs folder. + type: data:*/* + input_2: + displayOrder: 2 + label: input_file_2 + description: + Any input files. One or several files compressed in a zip will be + downloaded in an inputs folder. + type: data:*/* + input_3: + displayOrder: 3 + label: input_file_3 + description: + Any input files. One or several files compressed in a zip will be + downloaded in an inputs folder. + type: data:*/* + input_4: + displayOrder: 4 + label: input_file_4 + description: + Any input files. One or several files compressed in a zip will be + downloaded in an inputs folder. + type: data:*/* + +outputs: + output_1: + displayOrder: 1 + label: output_files_1 + description: Output files uploaded from the outputs folder + type: data:*/* + output_2: + displayOrder: 2 + label: output_files_2 + description: Output files uploaded from the outputs folder + type: data:*/* + output_3: + displayOrder: 3 + label: output_files_3 + description: Output files uploaded from the outputs folder + type: data:*/* + output_4: + displayOrder: 4 + label: output_files_4 + description: Output files uploaded from the outputs folder + type: data:*/* + +boot-options: + boot_mode: + label: Boot mode + description: Select boot type for the service (only for python-based ones) + default: "0" + items: + "0": + label: JupyterLab + description: Display the JupyterLab interface in the default boot mode + "1": + label: Voila + description: + To start as Voila save a notebook as "voila.ipynb" in the root + folder diff --git a/.osparc/runtime.yml b/.osparc/runtime.yml new file mode 100644 index 0000000..512c85d --- /dev/null +++ b/.osparc/runtime.yml @@ -0,0 +1,20 @@ +restart-policy: no-restart +settings: + - name: ports + type: int + value: 8888 + - name: constraints + type: string + value: + - node.platform.os == linux + - name: Resources + type: Resources + value: + Limits: + NanoCPUs: 4000000000 + MemoryBytes: 16000000000 +paths-mapping: + inputs_path: /home/jovyan/work/inputs + outputs_path: /home/jovyan/work/outputs + state_paths: + - /home/jovyan/work/workspace diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000..d02ccc9 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,4 @@ +# Changelog + +## [1.0.0] - 24 Apr. 2024 +- First version diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..9348feb --- /dev/null +++ b/Dockerfile @@ -0,0 +1,78 @@ + + +# quay.io/jupyter/r-notebook:r-4.3.3 is one possible base image, you can find information about others here: https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html +# Check the Jupyter/docker-stacks repo for more information about other versions of Python/OS: https://github.com/jupyter/docker-stacks +FROM quay.io/jupyter/r-notebook:r-4.3.3 as base + + + + + + +LABEL maintainer=elisabettai + +ENV JUPYTER_ENABLE_LAB="yes" +# autentication is disabled for now +ENV NOTEBOOK_TOKEN="" +ENV NOTEBOOK_BASE_DIR="$HOME/work" + +USER root + +ENV HOME="/home/$NB_USER" + +# --------------- Add additional system libraries ------------------- +# TODO: do you need additional system libraries (e.g. zip, bc, etc...)? +# If yes, uncomment the following and adapt +# If not, remove the following (or leave commented) + +# RUN apt-get update && \ +# apt-get install -y --no-install-recommends \ +# bc \ +# zip \ +# && \ +# apt-get clean && rm -rf /var/lib/apt/lists/* + + + + +# ------------------------- Other kernel ------------------------------------------- +# This will install the additional packages that you specified in requirements.txt in the pre-existing R kernel +# Like in: https://github.com/jupyter/docker-stacks/blob/main/images/r-notebook/Dockerfile +ENV REQ_FILE="requirements.txt" +COPY --chown=$NB_UID:$NB_GID env-config/r/${REQ_FILE} ${NOTEBOOK_BASE_DIR}/${REQ_FILE} +RUN mamba install --yes --file ${NOTEBOOK_BASE_DIR}/${REQ_FILE} +## ------------------------------------------------------------------------ + + + + + +# ---------------- Final setup -------------------------------------------------------- + +USER root + +RUN apt-get update && \ + apt-get install -y --no-install-recommends \ + gosu \ + && \ + apt-get clean && rm -rf /var/lib/apt/lists/* + +# Run a script from the base image to fix files permission +#RUN fix-permissions /home/$NB_USER + +# copy README and CHANGELOG +COPY --chown=$NB_UID:$NB_GID README.ipynb ${NOTEBOOK_BASE_DIR}/README.ipynb +COPY --chown=$NB_UID:$NB_GID CHANGELOG.md ${NOTEBOOK_BASE_DIR}/CHANGELOG.md + +# remove write permissions from files which are not supposed to be edited +RUN chmod gu-w ${NOTEBOOK_BASE_DIR}/CHANGELOG.md && \ + chmod gu-w ${NOTEBOOK_BASE_DIR}/${REQ_FILE} + +RUN mkdir --parents "/home/${NB_USER}/.virtual_documents" && \ + chown --recursive "$NB_USER" "/home/${NB_USER}/.virtual_documents" +ENV JP_LSP_VIRTUAL_DIR="/home/${NB_USER}/.virtual_documents" + +# Copying boot scripts +COPY --chown=$NB_UID:$NB_GID boot_scripts/ /docker + +ENTRYPOINT [ "/bin/bash", "/docker/entrypoint.bash" ] \ No newline at end of file diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..da9de0d --- /dev/null +++ b/Makefile @@ -0,0 +1,105 @@ +# +# Author: Elisabetta Iavarone + +SHELL = /bin/sh +.DEFAULT_GOAL := help + +export VCS_URL := $(shell git config --get remote.origin.url 2> /dev/null || echo unversioned repo) +export VCS_REF := $(shell git rev-parse --short HEAD 2> /dev/null || echo unversioned repo) +export VCS_STATUS := $(if $(shell git status -s 2> /dev/null || echo unversioned repo),'modified/untracked','clean') +export BUILD_DATE := $(shell date -u +"%Y-%m-%dT%H:%M:%SZ") + +export DOCKER_IMAGE_NAME ?= jupyterlab-r +export DOCKER_IMAGE_TAG ?= 1.0.0 + +OSPARC_DIR:=$(CURDIR)/.osparc + +APP_NAME := jupyterlab-r + +# Builds new service version ---------------------------------------------------------------------------- + +define _bumpversion + # upgrades as $(subst $(1),,$@) version, commits and tags + @docker run -it --rm -v $(PWD):/${DOCKER_IMAGE_NAME} \ + -u $(shell id -u):$(shell id -g) \ + itisfoundation/ci-service-integration-library:v1.0.4 \ + sh -c "cd /${DOCKER_IMAGE_NAME} && bump2version --verbose --list --config-file $(1) $(subst $(2),,$@)" +endef + +.PHONY: version-patch version-minor version-major +version-patch version-minor version-major: .bumpversion.cfg ## increases service's version + @make compose-spec + @$(call _bumpversion,$<,version-) + @make compose-spec + +.PHONY: compose-spec +compose-spec: ## runs ooil to assemble the docker-compose.yml file + @docker run --rm -v $(PWD):/${DOCKER_IMAGE_NAME} \ + -u $(shell id -u):$(shell id -g) \ + itisfoundation/ci-service-integration-library:v1.0.4 \ + sh -c "cd /${DOCKER_IMAGE_NAME} && ooil compose" + +build: | compose-spec ## build docker image + docker compose build + +# To test built service locally ------------------------------------------------------------------------- +.PHONY: run-local +run-local: ## runs image with local configuration + docker compose --file docker-compose-local.yml up + +.PHONY: publish-local +publish-local: ## push to local oSPARC to test integration. It requires the oSPARC platform running on your computer, you can find more information here: https://github.com/ITISFoundation/osparc-simcore/blob/master/README.md + docker tag simcore/services/dynamic/${DOCKER_IMAGE_NAME}:${DOCKER_IMAGE_TAG} registry:5000/simcore/services/dynamic/$(DOCKER_IMAGE_NAME):$(DOCKER_IMAGE_TAG) + docker push registry:5000/simcore/services/dynamic/$(DOCKER_IMAGE_NAME):$(DOCKER_IMAGE_TAG) + @curl registry:5000/v2/_catalog | jq + +.PHONY: help +help: ## this colorful help + @echo "Recipes for '$(notdir $(CURDIR))':" + @echo "" + @awk 'BEGIN {FS = ":.*?## "} /^[[:alpha:][:space:]_-]+:.*?## / {printf "\033[36m%-20s\033[0m %s\n", $$1, $$2}' $(MAKEFILE_LIST) + @echo "" + + +# COOKIECUTTER ----------------------------------------------------------------- + +.PHONY: replay +replay: .cookiecutterrc ## re-applies cookiecutter + # Replaying git+ssh://git@github.com/ITISFoundation/cookiecutter-osparc-jupyterlab-service ... + @cookiecutter --no-input --overwrite-if-exists \ + --config-file=$< \ + --output-dir="$(abspath $(CURDIR)/..)" \ + "git+ssh://git@github.com/ITISFoundation/cookiecutter-osparc-jupyterlab-service" + + +.PHONY: info +info: ## general info + # env vars: version control + @echo " VCS_URL : $(VCS_URL)" + @echo " VCS_REF : $(VCS_REF)" + @echo " VCS_STATUS : $(VCS_STATUS)" + # env vars: docker + @echo " DOCKER_IMAGE_TAG : $(DOCKER_IMAGE_TAG)" + @echo " BUILD_DATE : $(BUILD_DATE)" + # exe: recommended dev tools + @echo ' git : $(shell git --version 2>/dev/null || echo not found)' + @echo ' make : $(shell make --version 2>&1 | head -n 1)' + @echo ' jq : $(shell jq --version 2>/dev/null || echo not found z)' + @echo ' awk : $(shell awk -W version 2>&1 | head -n 1 2>/dev/null || echo not found)' + @echo ' python : $(shell python3 --version 2>/dev/null || echo not found )' + @echo ' docker : $(shell docker --version)' + @echo ' docker buildx : $(shell docker buildx version)' + @echo ' docker compose : $(shell docker compose --version)' + +# MISC ----------------------------------------------------------------- + + +.PHONY: clean +git_clean_args = -dxf --exclude=.vscode/ + +clean: ## cleans all unversioned files in project and temp files create by this makefile + # Cleaning unversioned + @git clean -n $(git_clean_args) + @echo -n "Are you sure? [y/N] " && read ans && [ $${ans:-N} = y ] + @echo -n "$(shell whoami), are you REALLY sure? [y/N] " && read ans && [ $${ans:-N} = y ] + @git clean $(git_clean_args) diff --git a/README.ipynb b/README.ipynb new file mode 100644 index 0000000..67f5804 --- /dev/null +++ b/README.ipynb @@ -0,0 +1,58 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "id": "67bb6fe5-38a1-472e-bf7c-9a300da42cb7", + "metadata": {}, + "source": [ + "# Before starting\n", + "\n", + "#### Directories and usage:\n", + "* **You are here:** `~/work/workspace` this is the current directory when the JupyterLab is opened and where you should save your files. \n", + "\n", + "* **Inputs from upstream services:** `~/work/inputs` (equivalent to `/home/jovyan/work/inputs`) contains inputs incoming from the outputs of the previous node. *Warning: do not write files in this directory or they will be erased.* *Jovyan* is the username in this Jupyterlab (and it is the same for all o²S²PARC users)\n", + "\n", + "* **This service's Outputs:** the contents of `~/work/outputs/outputs_1`, `~/work/outputs/outputs_2`, `~/work/outputs/outputs_3` and `~/work/outputs/outputs_4` will be accessible to connected downstream nodes. *Warning: do not add files into `~/work/outputs` base directory or they will be erased.*\n", + "\n", + "#### Good Practices\n", + "* **Return to Dashboard often:** data are versioned ONLY when you have saved the file in JupyterLab AND after you return to the Dashboard from your study. We advise you to go back to the Dashboard often to avoid losing work.*\n", + "* **I don't see `inputs` or `outputs`:** `~/work/` (one folder up from the current directory) is where you can find the `inputs` and `outputs` directories. Write access to this folder has been disabled. You can only create files and directories in:\n", + " * `~/work/workspace`\n", + " * `~/work/outputs/outputs_1`\n", + " * `~/work/outputs/outputs_2`\n", + " * `~/work/outputs/outputs_3`\n", + " * `~/work/outputs/outputs_4`\n", + "* **Do not write files directly to outputs:** if your code generates files, we recommend writing them first to a temporary directory (e.g. in `~/work/workspace`) and then moving them to the desired `~/work/outputs/output_X` directory after completion. Otherwise, data synchronisation may start while the file is being written to, which may result in a corrupted file in output." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "fdc3059f", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "python (maths)", + "language": "python", + "name": "python-maths" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/README.md b/README.md index ca3fffc..c7d06c4 100644 --- a/README.md +++ b/README.md @@ -1,43 +1,45 @@ -# jupyterlab-r +# JupyterLab with R (and Python) kernels JupyterLab coding environment for creating interactive Jupyter Notebooks with R (or Python) -## Requirements -- GNU Make -- Python3 -- [``Docker``](https://docs.docker.com/get-docker/) (if you wish to build and test the service locally) - -## Workflow -### Create the Service -1. Add your additional libraries to the appropriate in file [`env-config`](./env-config/) -2. The [Dockerfile](jupyterlab-r/src/Dockerfile) shall be modified to install additional packages, software and/or Jupyter kernels (if something is need in addition to 1.) -3. Optional: the [.osparc](.osparc) is the configuration folder and source of truth for metadata: describes service info and expected inputs/outputs of the service. If you need to change the inputs/outputs of the service, description, thumbnail, etc... check the [`metadata.yml`](./.osparc/metadata.yml) file -4. Optional: if you need to change the start-up behavior of the service, modify the [`boot_notebook.bash`](./boot_scripts/boot_notebook.bash) file -5. Optional (for testing): The service docker image may be built with ``make build`` (see "Useful Commands" below) -6. Optional (for testing): The service docker image may be run locally with ``make run-local`` (see "Useful Commands" below) - -### Publish the Service on o²S²PARC -Once you're happy with your code: -1. Push it to a public repository. -2. An automated pipeline (GitHub Actions) will build the Docker image for you (as in step 5) -3. Wait for the GitHub pipeline to run successfully -4. Check that the automated pipeline executes successfully -5. Once the pipeline has run successfully, get in touch with [o²S²PARC Support](mailto:support@osparc.io), we will take care of the final steps! - -### Change the Service (after it has been published on o²S²PARC ) -If you wish to change your Service (e.g. add additional librarie), after it has been published on o²S²PARC, you have to **create a new version**: -1. Go back to your repository -2. Apply the desired changes -3. Increase ("bump") the Service version: in your console execute: ``make version-patch``, or ``make version-minor``, or ``make version-major`` -4. Commit and push the changes to your repository -5. Wait for the GitHub/GitLab pipelines to run successfully -5. Once the pipeline has run successfully, get in touch with [o²S²PARC Support](mailto:support@osparc.io), we will take care of publishing the new version! - - -### Useful commands +## How to develop this o²S²PARC Service + +This Service was build using the [o²S²PARC cookiecutter for JupyterLab services](https://github.com/ITISFoundation/cookiecutter-osparc-jupyterlab-service) +### Usage + +Build the module: +```console +$ make build +``` +To run locally at and visit http://127.0.0.1:8888 +```console +make run-local +``` +To publish in local throw-away registry: +```console +make publish-local +``` + + +### Versioning +Service version is updated with ``make version-*`` + +### CI/CD Integration +A template ci config file is created in ```.github/workflows/check-image.yml```, it checks that the image builds. When the workflow runs successfully for a new version (on the main branch), this is automatically detected and published on the internal registry (see also "Deployment on o²S²PARC" in this README) + +### Deployment on o²S²PARC + +The required CI is already packaged. +To build and push to the internal registry you must add it to the [oSparc/docker-publisher-osparc-services](https://git.speag.com/oSparc/docker-publisher-osparc-services) repository. + +## How to test the Application +Run locally and visit http://127.0.0.1:8888: +```console +make run-local +``` +Or publish it in a local o²S²PARC deploy: ```console -$ make help -$ make build # This will build an o²S²PARC-compatible image (similar to `Docker build` command) -$ make run-local # This will run the JupyterLab interface on your computer. Follow the instructions in your console to open it in your browser (useful e.g. to test that your code runs as expected) +make publish-local ``` +Execute the [notebook demo](https://github.com/binder-examples/r/blob/02cff45a913fc23554ddac5664e8c2c9c6d6c826/index.ipynb) from the mybinder project. diff --git a/boot_scripts/boot_notebook.bash b/boot_scripts/boot_notebook.bash new file mode 100755 index 0000000..daae9cf --- /dev/null +++ b/boot_scripts/boot_notebook.bash @@ -0,0 +1,81 @@ +#!/bin/bash +# SEE http://redsymbol.net/articles/unofficial-bash-strict-mode/ + +set -euo pipefail +IFS=$'\n\t' +INFO="INFO: [$(basename "$0")] " + +echo "$INFO" " User :$(id "$(whoami)")" +echo "$INFO" " Workdir :$(pwd)" + +# Trust all notebooks in the notebooks folder +echo "$INFO" "trust all notebooks in path..." +find "${NOTEBOOK_BASE_DIR}" -name '*.ipynb' -type f | xargs -I % /bin/bash -c 'jupyter trust "%" || true' || true + +# Configure +# Prevents notebook to open in separate tab +mkdir --parents "$HOME/.jupyter/custom" +cat > "$HOME/.jupyter/custom/custom.js" < .jupyter_config.json < "/opt/conda/share/jupyter/lab/overrides.json" < /dev/null 2>&1 || \ + (echo "ERROR: You must mount '${DY_SIDECAR_PATH_INPUTS}' to deduce user and group ids" && exit 1) +stat "${DY_SIDECAR_PATH_OUTPUTS}" > /dev/null 2>&1 || \ + (echo "ERROR: You must mount '${DY_SIDECAR_PATH_OUTPUTS}' to deduce user and group ids" && exit 1) + +# NOTE: expects docker run ... -v /path/to/input/folder:${DY_SIDECAR_PATH_INPUTS} +# check input/output folders are owned by the same user +if [ "$(stat -c %u "${DY_SIDECAR_PATH_INPUTS}")" -ne "$(stat -c %u "${DY_SIDECAR_PATH_OUTPUTS}")" ] +then + echo "ERROR: '${DY_SIDECAR_PATH_INPUTS}' and '${DY_SIDECAR_PATH_OUTPUTS}' have different user id's. not allowed" && exit 1 +fi +# check input/outputfolders are owned by the same group +if [ "$(stat -c %g "${DY_SIDECAR_PATH_INPUTS}")" -ne "$(stat -c %g "${DY_SIDECAR_PATH_OUTPUTS}")" ] +then + echo "ERROR: '${DY_SIDECAR_PATH_INPUTS}' and '${DY_SIDECAR_PATH_OUTPUTS}' have different group id's. not allowed" && exit 1 +fi + +echo "listing inputs folder ${DY_SIDECAR_PATH_INPUTS}" +ls -lah "${DY_SIDECAR_PATH_INPUTS}" +echo "listing outputs folder ${DY_SIDECAR_PATH_OUTPUTS}" +ls -lah "${DY_SIDECAR_PATH_OUTPUTS}" + +echo "setting correct user id/group id..." +HOST_USERID=$(stat -c %u "${DY_SIDECAR_PATH_INPUTS}") +HOST_GROUPID=$(stat -c %g "${DY_SIDECAR_PATH_INPUTS}") +CONTAINER_GROUPNAME=$(getent group | grep "${HOST_GROUPID}" | cut --delimiter=: --fields=1 || echo "") +echo "CONTAINER_GROUPNAME='$CONTAINER_GROUPNAME'" + +if [ "$HOST_USERID" -eq 0 ] +then + echo "Warning: Folder mounted owned by root user... adding $NB_USER to root..." + addgroup "$NB_USER" root +else + echo "Folder mounted owned by user $HOST_USERID:$HOST_GROUPID-'$CONTAINER_GROUPNAME'..." + # take host's credentials in $NB_USER + if [ -z "$CONTAINER_GROUPNAME" ] + then + echo "Creating new group my$NB_USER" + CONTAINER_GROUPNAME=my$NB_USER + addgroup --gid "$HOST_GROUPID" "$CONTAINER_GROUPNAME" + else + echo "group already exists" + fi + + echo "adding $NB_USER to group $CONTAINER_GROUPNAME..." + usermod --append --groups "$CONTAINER_GROUPNAME" "$NB_USER" + + echo "Changing ownership of state directory /home/${NB_USER}/work/workspace" + chown --recursive "$NB_USER" "/home/${NB_USER}/work/workspace" + echo "Changing ownership of state directory ${DY_SIDECAR_PATH_INPUTS}" + chown --recursive "$NB_USER" "${DY_SIDECAR_PATH_INPUTS}" + echo "Changing ownership of state directory ${DY_SIDECAR_PATH_OUTPUTS}" + chown --recursive "$NB_USER" "${DY_SIDECAR_PATH_OUTPUTS}" +fi + +if [ ! -f "${NOTEBOOK_BASE_DIR}/workspace/README.ipynb" ] # Allow users to modify the README.ipynb, so do not copy if it already exists +then + mv "${NOTEBOOK_BASE_DIR}/README.ipynb" "${NOTEBOOK_BASE_DIR}/workspace/README.ipynb" || true +fi + +echo "Removing write permissions from users in placed where they are not allowed to write:" +echo "- /home/${NB_USER}/work" +chmod gu-w "/home/${NB_USER}/work" + +echo +echo "$INFO" "Starting notebook ..." +exec gosu "$NB_USER" /docker/boot_notebook.bash diff --git a/docker-compose-local.yml b/docker-compose-local.yml new file mode 100644 index 0000000..7f96dbb --- /dev/null +++ b/docker-compose-local.yml @@ -0,0 +1,15 @@ +services: + jupyterlab-r: + image: simcore/services/dynamic/jupyterlab-r:1.0.0 + ports: + - "8888:8888" + environment: + - DY_SIDECAR_PATH_INPUTS=/tmp/inputs + - DY_SIDECAR_PATH_OUTPUTS=/tmp/outputs + - DY_BOOT_OPTION_BOOT_MODE=0 + - DY_SIDECAR_PATH/home/jovyan/work/workspace + volumes: + - /tmp/.X11-unix:/tmp/.X11-unix + - ${PWD}/validation/workspace:/home/jovyan/work/workspace + - ${PWD}/validation/inputs:/tmp/inputs + - ${PWD}/validation/outputs:/tmp/outputs \ No newline at end of file diff --git a/env-config/r/requirements.txt b/env-config/r/requirements.txt new file mode 100644 index 0000000..e391ea3 --- /dev/null +++ b/env-config/r/requirements.txt @@ -0,0 +1,14 @@ +# +# This file keeps track of all the python packages and versions that will be installed in your Service. +# Some packages are already installed, see here: https://github.com/jupyter/docker-stacks/blob/e838ff397a2d9c2ad0faae051ef0ec4f20732320/images/r-notebook/Dockerfile#L31 +# The following list is just an example +r-leaflet==2.2.2 +r-dplyr==1.1.4 +r-plyr==1.8.9 +r-reshape2=1.4.4 +r-tidyr==1.3.1 +r-ggplot2==3.5.1 +r-pwr==1.3 +r-psych==2.4.3 +r-ez==4.4 + diff --git a/validation/inputs/.gitkeep b/validation/inputs/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/validation/outputs/.gitkeep b/validation/outputs/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/validation/workspace/.Trash-1000/files/notebook.ipynb b/validation/workspace/.Trash-1000/files/notebook.ipynb new file mode 100644 index 0000000..cae256b --- /dev/null +++ b/validation/workspace/.Trash-1000/files/notebook.ipynb @@ -0,0 +1,83 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## SIMCORE cheat sheet\n", + "\n", + "### Kernel agnostic access to the node input/output ports\n", + "\n", + "Input data is automatically downloaded to __~/inputs/__\n", + "- port of type file is available in: __~/inputs/MyPortKey/__\n", + " In case of compressed file (zip or tgz) the uncompressed files are available in the folder\n", + "- port of any other type (number, integer, string) is available in: __~/inputs/key_values.json__ \n", + "\n", + "Output data is automatically uploaded from __~/outputs/__\n", + "- port of type file shall be saved to: __~/outputs/MyPortKey/__\n", + " In case of multiple files, they will be automatically compressed and uploaded.\n", + "- port of any other type (number, integer, string) shall be saved in: __~/outputs/key_values.json__\n", + " ```\n", + " #key_values.json\n", + " {\n", + " \"myIntValue\": 5,\n", + " \"myNumberValue\": 5.0,\n", + " \"myStringValue\": \"Hello world\"\n", + " }\n", + " ```\n", + "\n", + "### python3 - Direct access to the node input/output ports using simcore-sdk\n", + "\n", + "```python\n", + "from simcore_sdk import node_ports\n", + "PORTS = node_ports.ports() # returns a Nodeports instance with all the input/output data\n", + "```\n", + "Importing from input port 0\n", + "```python\n", + "#downloads the file from the storage to the notebook and returns its path\n", + "input_1 = await PORTS.inputs[0].get() \n", + "#read the text inside the file (only if it's a text file)\n", + "text = input_1.read_text()\n", + "```\n", + "Exporting to output port 0\n", + "```python\n", + "# create a dummy file\n", + "dummy_file_path = Path(\"dummy_file.csv\")\n", + "# write some text in the file\n", + "dummy_file_path.write_text(\"Hello from notebook!!\")\n", + "# set this file as being the output 0 of the node (internally uploads the file to the storage)\n", + "await PORTS.outputs[0].set(dummy_file_path)\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "celltoolbar": "Initialization Cell", + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.8" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/validation/workspace/.Trash-1000/info/notebook.ipynb.trashinfo b/validation/workspace/.Trash-1000/info/notebook.ipynb.trashinfo new file mode 100644 index 0000000..a88538c --- /dev/null +++ b/validation/workspace/.Trash-1000/info/notebook.ipynb.trashinfo @@ -0,0 +1,3 @@ +[Trash Info] +Path=notebook.ipynb +DeletionDate=2024-04-24T14:03:56 diff --git a/validation/workspace/.gitkeep b/validation/workspace/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git 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tibble
TRUE
magrittr
TRUE
readxl
TRUE
httr
TRUE
png
TRUE
ggfortify
TRUE
RJSplot
TRUE
spatstat
TRUE
DT
TRUE
scales
TRUE
emmeans
TRUE
DT
TRUE
IRdisplay
TRUE
dplyr
TRUE
sfsmisc
TRUE
png
TRUE
\n" + ], + "text/latex": [ + "\\begin{description*}\n", + "\\item[tibble] TRUE\n", + "\\item[magrittr] TRUE\n", + "\\item[readxl] TRUE\n", + "\\item[httr] TRUE\n", + "\\item[png] TRUE\n", + "\\item[ggfortify] TRUE\n", + "\\item[RJSplot] TRUE\n", + "\\item[spatstat] TRUE\n", + "\\item[DT] TRUE\n", + "\\item[scales] TRUE\n", + "\\item[emmeans] TRUE\n", + "\\item[DT] TRUE\n", + "\\item[IRdisplay] TRUE\n", + "\\item[dplyr] TRUE\n", + "\\item[sfsmisc] TRUE\n", + "\\item[png] TRUE\n", + "\\end{description*}\n" + ], + "text/markdown": [ + "tibble\n", + ": TRUEmagrittr\n", + ": TRUEreadxl\n", + ": TRUEhttr\n", + ": TRUEpng\n", + ": TRUEggfortify\n", + ": TRUERJSplot\n", + ": TRUEspatstat\n", + ": TRUEDT\n", + ": TRUEscales\n", + ": TRUEemmeans\n", + ": TRUEDT\n", + ": TRUEIRdisplay\n", + ": TRUEdplyr\n", + ": TRUEsfsmisc\n", + ": TRUEpng\n", + ": TRUE\n", + "\n" + ], + "text/plain": [ + " tibble magrittr readxl httr png ggfortify RJSplot spatstat \n", + " TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE \n", + " DT scales emmeans DT IRdisplay dplyr sfsmisc png \n", + " TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "load.lib<-c(\"tibble\", \"magrittr\", \"readxl\", \"httr\", \"png\", \"ggfortify\", \"RJSplot\", \"spatstat\", \n", + " \"DT\", \"scales\", \"emmeans\", \"DT\", \"IRdisplay\", \"dplyr\", \"sfsmisc\", \"png\")\n", + "\n", + "install.lib<-load.lib[!load.lib %in% installed.packages()]\n", + "for(lib in install.lib) install.packages(lib,dependencies=TRUE)\n", + "sapply(load.lib,require,character=TRUE)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in system(\"ls ~/inputs/input_1\", intern = TRUE):\n", + "“running command 'ls ~/inputs/input_1' had status 2”\n" + ] + }, + { + "data": { + "text/html": [], + "text/latex": [], + "text/markdown": [], + "text/plain": [ + "character(0)\n", + "attr(,\"status\")\n", + "[1] 2\n", + "attr(,\"errmsg\")\n", + "[1] \"Resource temporarily unavailable\"" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "system(\"ls ~/inputs/input_1\", intern=TRUE)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load the data\n", + "\n", + "Load the data downloaded from Blackfynn. The data is in the temporaty local root directory.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[1m\u001b[22mNew names:\n", + "\u001b[36m•\u001b[39m `` -> `...2`\n" + ] + } + ], + "source": [ + "#####################################################################################\n", + "#### Import the XLSX file\n", + "\n", + "tf <-\"IMA_analyzed_data-1.xlsx\"\n", + "spatial.data.long <- read_excel(tf, sheet=1)\n", + "spatial.data.circ <- read_excel(tf, sheet=2)\n", + "\n", + "spatial.data.long <- add_column(spatial.data.long, `layer`=factor(\"lon\", levels=c(\"lon\", \"circ\")))\n", + "spatial.data.circ <- add_column(spatial.data.circ, `layer`=factor(\"circ\", levels=c(\"lon\", \"circ\")))\n", + "spatial.data <- dplyr::bind_rows( spatial.data.long, spatial.data.circ )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Display the raw data" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "spatial.data.dt <- datatable(spatial.data, filter = 'top', options = list(\n", + " pageLength = 10, autoWidth = TRUE, class = 'cell-border stripe'))\n", + "saveWidget(spatial.data.dt, 'table1.html', selfcontained = TRUE)\n", + "display_html('')" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "'spatial-data.csv'" + ], + "text/latex": [ + "'spatial-data.csv'" + ], + "text/markdown": [ + "'spatial-data.csv'" + ], + "text/plain": [ + "[1] \"spatial-data.csv\"" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "write.table(spatial.data, file=\"~/outputs/output_1/spatial-data.csv\", sep=\",\")\n", + "system(\"ls ~/outputs/output_1/\", inter=TRUE)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Pre-preocess the data\n", + "\n", + "Simple data preprocessing required for statistical analysis." + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "#####################################################################################\n", + "#### Take a subset of columns which are relevant for our work\n", + "\n", + "spatial.data.s <- (spatial.data[,c(5,6,11:16,18:20)])\n", + "spatial.data.s <- spatial.data.s %>% filter(complete.cases(.))\n", + "spatial.data.sub <- (spatial.data[,c(11:16,18:19)])\n", + "spatial.data.sub <- add_column(spatial.data.sub, `Layer`=spatial.data$'layer', `Region`=factor(spatial.data$'Region'))\n", + "spatial.data.sub <- spatial.data.sub %>% filter(complete.cases(.))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "#####################################################################################\n", + "#### Transform some features for variance stabilization \n", + "\n", + "spatial.data.tr <- spatial.data.sub %>% mutate_at(c(1:6), list(log))\n", + "spatial.data.tr <- spatial.data.tr %>% mutate_at(c(7:8), list(sqrt))\n", + "\n", + "#####################################################################################" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Simple PCA plot \n", + "\n", + "The plot shows the overlap between the regions in the feature space. The regions seem to be indistinguishable, which is misleading." + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Saving 6.67 x 6.67 in image\n" + ] + }, + { + "data": { + "image/png": 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/3dxjL5iyKrXTTmj/FYRaQ6gGjDsjRnuI9vdc/GMmb+UL9FaJv2IsLY1OC8kV6O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\nyM8nUeRXrmx5lNu3j62qCtWDnvnMGAMHmjExRGRkZOjZ2W0OxLJ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gt2XLlmPHjhHRlClTYmNj292nJYQtX768I8+ZmJgYDAbLy8sLCgrs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o4PuF3YzimjKwzGbzSy+9tGPHjvT0dAAQ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dhqQQ4nOBxIFBHp5M5PUcByRKMmWi0JCiLh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MvxDj1/ATH6E4M1jc5KqkxTfZV13oNHeQanSy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\nAQAAAHgJBHYAAAAAXgKBHQAAAICXQGAHA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+ "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df <- subset(spatial.data.tr[,-c(9,10)], spatial.data.tr$Layer==\"circ\")\n", + "autoplot(prcomp(df), data = subset(spatial.data.tr, Layer==\"circ\"), colour = 'Region', loadings = TRUE, loadings.colour = 'blue', frame.type = 'norm',\n", + " loadings.label = TRUE, loadings.label.size = 4) + \n", + " theme(legend.position=\"bottom\", text = element_text(size=20, color = \"black\"), axis.text.x = element_text(size = 20, color=\"black\"), axis.text.y = element_text(size = 20, color=\"black\"),\n", + " axis.title=element_text(size=20, color = \"black\", face=\"bold\"), aspect.ratio=1, plot.margin = margin(t = 5, r = 20, b = 5, l = 5, unit = \"pt\"))\n", + "ggsave(\"PCA_plot.pdf\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## House-keeping (names, defining contrasts, etc.)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "cl.names <- c(\"Area.of.innervation\", \"Length.of.arbor\", \"Width.of.arbor\", \n", + " \"Total.tree.length\", \"Highest.branch.order\", \"Average.branch.length\", \n", + " \"Total.no.branches\", \"No.of.nodes\", \"Layer\", 'Region')\n", + "\n", + "#####################################################################################\n", + "#### Convert data from tibble to data.frame (for simplicity)\n", + "\n", + "spatial.data.df <- as.data.frame(spatial.data.sub)\n", + "colnames(spatial.data.df) <- cl.names\n", + "\n", + "#####################################################################################\n", + "#### Use polynomial contrasts\n", + "#### (or other contrasts of your choice inf you are know what you are doing)\n", + "\n", + "contrasts(spatial.data.df$Layer) <- contr.poly(2)\n", + "contrasts(spatial.data.df$Region) <- contr.poly(3)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Density/histogram plots for all the measured features\n", + "\n", + "The heteroskedasticity of the data will be corrected by relevant transformation (log or sqrt). " + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "#### Custom fedinition of number formating for the plot axes. Ignore!\n", + "\n", + "scientific_10_3 <-\n", + " function(x) {\n", + " ifelse(x==0, \"0\", \n", + " ifelse(abs(log10(abs(x))) <= 2, x, sfsmisc::pretty10exp(x, sub10 = T, drop.1 = F))\n", + " )\n", + " }\n" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": { + "slideshow": { + "slide_type": "-" + } + }, + "outputs": [ + { + "data": { + "image/png": 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CcEOwDxiDjBrnlz45uxnFBBgbdfP33d/fHHyrgMAFEi2AGIR8SFTphgFx3vsGGq\nqtc9darhvQBIHwQ7APFQTrALMMEuav527QLnnquve/75TwkGje8HQHog2AGImX3bNtvBg/o6\nwS4m1apbKOw7d7qWLDG+GQDpgWAHIGbKy3VSWBg8+2yjW7Ey34ABoZwcfd3z5pvGNwMgPRDs\nAMRMOcFOunRhgl1MQh6P97LL9HXXJ58oL4gCwCkR7ADETH3FrksXwxuxPO+vfqWo+nzsQgEg\nPgQ7ALGxFxfb9u5VPECwi12gVatA27b6umfqVAmFjO8HgNUR7ADERjkOG8rLk9atjW8mDVQP\nHaov2rdtc375pfHNALA6gh2A2KiD3YUXio3Pk3j4+vULZWfr6+5p04xvBoDV8UEMIDYOVbAL\nstBJvEJZWb4+ffR198yZWkWF8f0AsDSCHYAY2Hbvtu/era8T7OrDO2SIvqiVlbk++sj4ZgBY\nmiPVDQAwu3Xr1o0fPz58fNnevffqnlBltz/4xhtit/v9/lDsU/79fn+9e7Q2f4cOwbPOsu3Z\nU6vueeed6muvTUlLACyKYAfgFA4cODB37tzw8dWqJ6wJBJYsW2ZkS+lG07yXX+557bVaZecX\nX9j27AmedVZKmgJgRQzFAohBX1VxjdFdpCHvoEGK5Z2DQc/776eiHQBWRbADEK0zRZQrmqwz\nupE0FGzUyN+5s77OSsUAYkKwAxAt5eW6CpFNRjeSnryDBumL9q1bHetIzgCiZbpgt2XLlnvu\nuadTp05FRUVut7tp06ZDhw6dPHlyAqdX79y5Mz8/X9M0TdPefvvtRJ0WSHvKYPe1SKbf+5Ag\nvt69Q1lZ+rr7vfeMbwaARZkr2D311FMdOnSYOHHiV199VVJS4vV6f/jhhzlz5tx+++3nn3/+\njh076v8SoVBo9OjRJ06cqP+pgEyjWGxNZK3RXaStkMfj69VLX3fPmGELBo3vB4AVmeiu2PHj\nxz/wwAPh40GDBvXv3z8/P7+4uPjdd9/dtWvX5s2b+/btu379+qKiovq8yssvv/zpp58mol8g\nszQROU9VJ9glkHfgQNeCBbWKtkOHmm/ZkpJ+AFiOWYLd9u3bH3zwQRFxOBzTp08fNmxYzUOP\nP/749ddfP2vWrN27d99///2TJ0+O+1V27tx53333iciZZ565V7mLOYAI+ojobtqUapFvU9BL\n2vJ36RJs2NB2+HCt+nlryc8AomKWodjx48dXVlaKyIMPPnhyqhOR7OzsqVOnNqJFLWAAACAA\nSURBVG7cWETeeOONH374Ib6XCIVCt912W1lZWePGjX/3u9/Vv2cgo0SaYOc1upG0pmm+fv30\n5XM2bFBMvgMAHVMEO5/PF76JweVyjR07Vv+E3Nzc3/zmNyISCASmTp0a36u8+OKLixYtEpFn\nnnkmLy+vHv0CmUg5wY7bNRPOO2CAvuiqqhpqfCsALMgUwW716tWHDx8WkUsvvbRBgwbK5wwe\nPDh8MGfOnDheYseOHePGjRORIUOG3HLLLfF2CmSohiIdVHWWJk64QJs2yq0m2FkMQDRMEezW\n/bRK0yWXXBLpOV27dtU0TUTWxj7XJHwnbFlZWX5+/j/+8Y+4+wQylnKCnVdkQwp6SX/e/v31\nxaEiDDQAOCVTBLvt27eHD84+++xIz/F4POFpdsePHz9y5EhM53/hhRc+++wzEXnuueeaNWsW\nf6NAplKOw25kgl1yKKfZZYkM01cB4OdMEewOHjwYPghHt0hOP/30Ws+PRs0g7KBBg8aMGRNv\nj0BGU945wY2aSRJo0SLQsqW+PtL4VgBYjSmWOykrKwsfZKlWXa/h8XhqPf+UwnfClpeX5+Xl\nvfLKK9G39Oqrrx44cCB83Lx58xEjRkT/tVEKjyw7HI7c3NyEnzx57HZ7dnZ2KBRKdSPRstls\nIuJyucIHVqFpmnl+MPIDgQtUdYJdLR6PJzs7OzHnuvxyefnlWrXBIvkipYl5AQWn05mMnzq7\n3a5pmuXegHa73TzvwWg4nU6bzeZ2u1PdSLTC/wgm6acueWw2W05OTqq7qIspgl3NdmEul6uO\np9X8vPp8vijP/Pzzzy9evFhEnnnmmRYtWkTf0qeffrrlpxVBu3TpMmrUqOi/NiY2m60msFqF\nhT44ajgcDofDFD/t0TPPD0aTrVv1/yb7mWCn43Q66/4Qi8GQIfpg5xH5tcg/E/MCCna7PXk/\ndZZ7A2qaZp73YJTsdnuqW4iZ3W63XNtx/2AEAoHEdqJkindazRve661rxk5VVVX4wOl0RnPa\n77//PryVRf/+/e+4446YWpowYUJNfHS5XCUlJTF9eTQ0TSssLPT5fNFfgDSDvLy88vLyoHU2\nOAr/OlhZWVnz82MJBQUFx48fT3UXP8pXbUL/rUil8a2YW3l5eWlpgi6oFRTknHuufevWWuWR\nyQx2Xq83GZ91brdb0zRrvQELCwuDwWDC/m8aIjs72+v1JnBf9WSz2+35+fnV1dUVFRWp7iUG\n+fn5J06ciG/YKvxXTnhLtZgi2NWsKhdeoziSmkej+b7UDMLm5OS8+uqr4Uu+0as12++wbiH4\n+gu3FAqFjInwiRIKhYLBoIV6Dv8uaLnvsxj1u100Gm/apC+y0IleMBhM4O88vr599cHu8mSO\nxibprR0MBm02m3l+nqNkuQ8Ny304W/QfQREJBALxBbtYo0h8TDHpoUmTJuGD/fv31/G0ffv2\nhQ9q7qKow9/+9rfPP/9cRJ599tmWqmnIAKKhlZY22LlTX2eCXbJ5+yjuRXaLXGF8KwCswxRX\n7Fq3bh0+2LFjR6TnlJaWHj16VEQaNmxYWFhY9wn37NkTHoRt3bp1o0aN3n///VpPWL9+ffhg\n1apV4YHgc88998ILL4z3bwCkLefKlZruKlRA5KuUdJNJgk2bBlSjsSNE4tx+B0AGMEWw69q1\na/hgxYoVkZ6zfPny8EEdixjXKC4uDo/Zb9u2beTIupYImDBhwoQJE0Rk7Nix4QMAJ3P+9NY7\n2SYRK02KsSxfnz76YDdYJEekPCUNATA9UwzFdu7cuXnz5iKyevXqSKOxs2bNCh9ceeWVxnUG\nZDxlsGMc1hjK0dgskV8Y3woAizBFsNM0LbyeSCAQePbZZ/VP2Lt375QpU0QkOzv7mmuuOeUJ\ne/XqFarT3/72t/Azp02bFq5wuQ7Q006ccGxQrGrCnRPGCJ55ZqBVK339KuNbAWARpgh2IjJ2\n7NjwzLkJEyZMmzbt5IeOHDkycuTI8NDquHHj9LfE3nvvvXfdddddd91VXFxsVL9ARnCuWiW6\n1ROCIutT0k1G8vXqpS8OFbHeYpIADGGKOXYi0rhx40mTJt1yyy3BYPCGG26YPHnygAEDcnNz\nt2zZ8t577x06dEhELr744j/+8Y/6r3355ZfLy8tFZNSoUXXsNgsgVspx2M1M8DKQr3dvz5tv\n1irmiwwQmZuShgCYm1mCnYjcdNNNXq/37rvvrqysXLRo0aJFi05+dMCAAdOnT0/Yqu4AouD8\n4gt9kQl2Rgq0bBk880zb3r216lcS7AComGUoNmz06NGbN2++//77O3XqVFhY6Ha7mzVrNmLE\niA8//PDTTz895SonABJIKytzfP21vs4EO4P5evbUF4eJWGwbJgCGMNEVu7DmzZs//fTTTz/9\ndPRfEseWXOE5ebF+FZBRIk2wU+wvhmTy9ezpfvfdWsXTRS4VUVxQBZDZzHXFDoB5KCfYfSdi\npb2N04K/ffuqnBx9/dfGtwLA9Ah2ANSUwY5x2BTQtD3nnKMvE+wA6BHsACho5eWOrxTbhhHs\nUkIZ7NqItDO+FQDmRrADoOBctUp8vlpFJtilyv7mzZV7uHHRDkAtBDsACkywM5Wg3a7cSPsK\noxsBYHYEOwAKyhXsGIdNoSWq4qUijY1uBICpEewA1KaVlzvWK7YNI9il0DKRgK5oExmagl4A\nmBfBDkBtrGBnQqURtugdZnQjAEyNYAegNuU4LBPsUk45GjtQxGN0IwDMi2AHoDYm2JnTUlUx\nV6SfwX0AMDGCHYCf0crKWMHOnHaL7FDVf2V0IwDMi2AH4GecK1cywc60lBftCHYAahDsAPyM\nchx2MxPszGGZqthCpKPRjQAwKYIdgJ9hgp2ZfSVSqqpz0Q5AGMEOwH9opaWOr7/W1wl2JhEQ\nUWwJIvJLoxsBYFIEOwD/4Vy5UgK118EN2WxMsDMPxQVVke4iRUY3AsCMCHYA/kM5Dnu8adNy\n41tBBMtFgrqiQ2RwCnoBYDoEOwD/4VymmJ1/pGVL4ztBJMdFNqjqjMYCEIIdgBra8eOOb77R\n1wl2ZqMcjf2liN3oRgCYDsEOwI+cX3yhn2AnDkdJ8+apaAcRKRc9KRLpZnQjAEyHYAfgR8px\nWP955wVcLuObQR22ihxU1X9hdCMATIdgB+BH6mDXqZPxnaBuoQgX7Qh2AAh2AEREbEeOODZv\n1tcJdua0QlXsInKG0Y0AMBeCHQCR8AS7UEhXdQbat09FOziFVSI+XVFj0RMg4xHsAIhEGodt\n3z7kdhvfDE6pQkS5ajSjsUCGI9gBEBFxLl2qL/ovvND4ThAl5d5ig1j0BMhsBDsAYjtwwL5t\nm77u79zZ+GYQJWWwa8CiJ0BmI9gBEOfnn+uLIbfb37at8c0gSttFflDVhxjdCAATIdgBUG8R\nG+jYUZxO45tB9JT3xjLNDshkBDsAESbYsdCJ6SlHY7uINDa6EQBmQbADMp191y77rl36OsHO\n/L5ULXpiE7k8Bb0AMAWCHZDplJfrQtnZ/nPPNb4ZxKRC5GtVndXsgIxFsAMynXoFuwsuEIfD\n+GYQK8XsSJHBfLgDmYr3PpDp2CLW0laqio1EuhjdCABTINgBGc2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ytkfgJMpgZ//+e/v27Ua3AiARog12o0aNijS0ev/994cPiouLn3zy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6Spl1vzAYATGjuAwFIcOeJZ/IvIzj4KQPjY4uUuFNhp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+d868dKlx2DCmyYAtNHYRxuFQpqSotm5V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\n/vijXbt2R44cadiwIYO3k7D09PRnnnnm2LFj99zy8uXLQ4cO3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+ "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "##############################################################################\n", + "#### pick i to get other features (numbered). Features available: 5,6,7,8\n", + "i = 5 \n", + "##############################################################################\n", + "\n", + "x_lab <-\n", + " sapply(colnames(spatial.data.sub)[i], function(x) {\n", + " gsub(\"\\\\(µm)\", \"[µm]\", x)\n", + " })\n", + "gg_plot <-\n", + " ggplot(data = spatial.data.df, aes((spatial.data.df[[i]]))) +\n", + " geom_histogram(\n", + " aes(y = ..density..),\n", + " col = \"black\",\n", + " fill = \"black\",\n", + " bins = 20,\n", + " alpha = 1\n", + " ) +\n", + " geom_density(\n", + " col = 2,\n", + " size = 2,\n", + " fill = 2,\n", + " alpha = .2\n", + " ) +\n", + " theme(\n", + " text = element_text(size = 20, color = \"black\"),\n", + " axis.text.x = element_text(size = 20, color = \"black\"),\n", + " axis.text.y = element_text(size = 20, color = \"black\"),\n", + " axis.title = element_text(size = 20, color = \"black\", face = \"bold\"),\n", + " #aspect.ratio = 1,\n", + " plot.margin = margin(\n", + " t = 5,\n", + " r = 20,\n", + " b = 5,\n", + " l = 5,\n", + " unit = \"pt\"\n", + " )\n", + " ) +\n", + " scale_x_sqrt(\n", + " paste(\"\", x_lab, sep = \"\"),\n", + " breaks = trans_breaks(\"sqrt\", function(x)\n", + " x ^ 2),\n", + " labels = trans_format(\"sqrt\", math_format(.x ^ 2))\n", + " ) +\n", + " scale_y_continuous(\"Density\", labels = scientific_10_3)\n", + "\n", + "gg_plot ### print the output" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "'Highest Branch Order - Distribution density plot.pdf'" + ], + "text/latex": [ + "'Highest Branch Order - Distribution density plot.pdf'" + ], + "text/markdown": [ + "'Highest Branch Order - Distribution density plot.pdf'" + ], + "text/plain": [ + "[1] \"Highest Branch Order - Distribution density plot.pdf\"" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Saving 6.67 x 6.67 in image\n" + ] + } + ], + "source": [ + "plot.name <- paste(colnames(spatial.data.sub)[i],\"-\",\"Distribution density plot.pdf\")\n", + "plot.name\n", + "ggsave(plot.name)" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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HMUOwDIsONN31sj0sIcZClgxtXY3lJH20GAQkKxA4AMMx5gt1iqtx2ksM2TmhxD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\naVJGIgKANYH5872mOyhGBgywHwbpM+60C06fbj8JYEeqxe7RRx/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tRh61bbaeA6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\nMsVx9dO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+ "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "##############################################################################\n", + "#### pick i to get other features (numbered). Features available: 1,2,3, and 4\n", + "i = 4 \n", + "##############################################################################\n", + "\n", + "x_lab <-\n", + " sapply(colnames(spatial.data.sub)[i], function(x) {\n", + " gsub(\"\\\\(µm)\", \"[µm]\", x)\n", + " })\n", + "gg_plot <-\n", + " ggplot(data = spatial.data.df, aes((spatial.data.df[[i]]))) +\n", + " geom_histogram(\n", + " aes(y = ..density..),\n", + " col = \"black\",\n", + " fill = \"black\",\n", + " bins = 20,\n", + " alpha = 1\n", + " ) +\n", + " geom_density(\n", + " col = 2,\n", + " size = 2,\n", + " fill = 2,\n", + " alpha = .2\n", + " ) +\n", + " theme(\n", + " text = element_text(size = 20, color = \"black\"),\n", + " axis.text.x = element_text(size = 20, color = \"black\"),\n", + " axis.text.y = element_text(size = 20, color = \"black\"),\n", + " axis.title = element_text(size = 20, color = \"black\", face = \"bold\"),\n", + " aspect.ratio = 1,\n", + " plot.margin = margin(\n", + " t = 5,\n", + " r = 20,\n", + " b = 5,\n", + " l = 5,\n", + " unit = \"pt\"\n", + " )\n", + " ) +\n", + " scale_x_log10(\n", + " paste(\"\", x_lab, sep = \"\"),\n", + " breaks = trans_breaks(\"log10\", function(x)\n", + " 10 ^ x),\n", + " labels = trans_format(\"log10\", math_format(10 ^ .x))\n", + " ) +\n", + " #scale_x_continuous(paste(\"\\n\",x_lab, sep=\"\"), labels = scientific_10) +\n", + " scale_y_continuous(\"Density\", labels = scientific_10_3)\n", + "\n", + "gg_plot ### print the output" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "'Total Tree Length (µm) - Distribution density plot.pdf'" + ], + "text/latex": [ + "'Total Tree Length (µm) - Distribution density plot.pdf'" + ], + "text/markdown": [ + "'Total Tree Length (µm) - Distribution density plot.pdf'" + ], + "text/plain": [ + "[1] \"Total Tree Length (µm) - Distribution density plot.pdf\"" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Saving 6.67 x 6.67 in image\n" + ] + } + ], + "source": [ + "### Save the plot\n", + "plot.name <- paste(colnames(spatial.data.sub)[i],\"-\",\"Distribution density plot.pdf\")\n", + "plot.name\n", + "ggsave(plot.name)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Compute all the mariginal means\n", + "The plot of the mariginal means for all the features are computed and displayed." + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "tmp.var <- colnames(spatial.data.df)[1:8]\n", + "fit <- fit.em <- fit.cont <- list()\n", + "gg_plot_f <- list()\n", + "\n", + "spatial.data.df$int <- with(spatial.data.df, interaction(Region, Layer))\n", + "contrasts(spatial.data.df$int) <- contr.poly\n", + "\n", + "for (i in 1:8) {\n", + "\n", + " if (i < 5){\n", + " fit[[i]] <- lm(log(get(tmp.var[i])) ~ int - 1, data = spatial.data.df) ##### for some feature the transformation should be \"log\"\n", + " fit[[i]] <- update(ref_grid(fit[[i]]), tran = \"log\") \n", + " } else {\n", + " fit[[i]] <- lm(sqrt(get(tmp.var[i])) ~ int - 1, data = spatial.data.df) ##### for some feature the transformation should be \"sqrt\"\n", + " fit[[i]] <- update(ref_grid(fit[[i]]), tran = \"sqrt\") \n", + " }\n", + " fit.em[[i]] <- emmeans(fit[[i]], c(\"int\"))\n", + " summary(fit.em[[i]], type = \"response\")\n", + " \n", + " x_lab <-\n", + " sapply(colnames(spatial.data.sub)[i], function(x) {\n", + " gsub(\"\\\\(µm)\", \"[µm]\", x)\n", + " })\n", + " \n", + " par(mar = c(6, 6, 1, 1),\n", + " oma = c(0, 0, 0, 0),\n", + " pty = \"s\")\n", + " gg_plot_f[[i]] <-\n", + " plot(fit.em[[i]], comparisons = TRUE, type = \"response\") +\n", + " theme(\n", + " text = element_text(size = 20, color = \"black\"),\n", + " axis.text.x = element_text(\n", + " size = 20,\n", + " face = \"bold\",\n", + " color = \"black\"\n", + " ),\n", + " axis.title = element_text(\n", + " size = 30,\n", + " color = \"black\",\n", + " face = \"bold\"\n", + " )\n", + " ) +\n", + " #labs(x = paste(\"\\nlog(\", gsub(\"[.]\", \"-\", tmp.var[[i]]), \")\", sep=\"\"), y=\"Stomach region\\n\") +\n", + " labs(x = x_lab, y = \"Stomach region\\n\") +\n", + " scale_y_discrete(\n", + " labels = c(\n", + " \"Antrum\\nlongitudinal layer\",\n", + " \"Corpus\\nlongitudinal layer\",\n", + " \"Forestomach\\nlongitudinal layer\",\n", + " \"Antrum\\ncircular layer\",\n", + " \"Corpus\\ncircular layer\",\n", + " \"Forestomach\\ncircular layer\"\n", + " )\n", + " )\n", + "}\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plot the relevant feature\n", + "Assign the feature of interest to _i_.\n", + "\n", + "The blue bars are confidence intervals for the EMMs, and the red arrows are for the comparisons among them. If an arrow from one mean overlaps an arrow from another group, the difference is not “significant,” based on the adjust setting and the value of alpha (which has been set to 0.05)." + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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IKCgsLDw11cXAxYGFgmjYboJqT2dmLK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\nTvfOW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+ "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "###################################################################\n", + "## Plot relevant mariginal means plots\n", + "## Pick the feature number\n", + "i=2\n", + "###################################################################\n", + "gg_plot_f[[i]]\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "'Length of Arbor (µm) - Marginal means.pdf'" + ], + "text/latex": [ + "'Length of Arbor (µm) - Marginal means.pdf'" + ], + "text/markdown": [ + "'Length of Arbor (µm) - Marginal means.pdf'" + ], + "text/plain": [ + "[1] \"Length of Arbor (µm) - Marginal means.pdf\"" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Saving 6.67 x 6.67 in image\n" + ] + } + ], + "source": [ + "### Save the plot\n", + "plot.name <- paste(colnames(spatial.data.sub)[i],\"-\",\"Marginal means.pdf\")\n", + "plot.name\n", + "ggsave(plot.name)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Comparisons within the groups\n", + "Biologically, it probably makes more sense to compare the values with in muscule layers, not between them." + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "tmp.var <- colnames(spatial.data.df)[1:8]\n", + "fit2 <- fit2.em <- fit2.cont <- list()\n", + "\n", + "for (i in 1:8) {\n", + " if (i < 5){\n", + " fit2[[i]] <- lm(log(get(tmp.var[i])) ~ Region*Layer, data = spatial.data.df) ##### for some feature the transformation should be \"log\"\n", + " fit2[[i]] <- update(ref_grid(fit2[[i]]), tran = \"log\") \n", + " } else {\n", + " fit2[[i]] <- lm(sqrt(get(tmp.var[i])) ~ Region*Layer - 1, data = spatial.data.df) ##### for some feature the transformation should be \"sqrt\"\n", + " fit2[[i]] <- update(ref_grid(fit2[[i]]), tran = \"sqrt\") \n", + " }\n", + " fit2.em[[i]] <- emmeans(fit2[[i]], ~ Region | Layer, type=\"reponse\") \n", + "}\n", + "\n", + "for (i in 1:8) {\n", + " fit2.cont[[i]] <- contrast(pairs(fit2.em[[i]]), type=\"none\")#, weights=\"proportional\") \n", + "}\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Output the result to the table\n", + "Pick the relevant feature number (from 1 to 8) and asign to _i_." + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "i=8\n", + "fit.tmp <- as.data.frame(fit2.cont[[i]]) %>% mutate_if(is.numeric, round, digits = 5)\n", + "tables_rjs(fit.tmp, jupyter = TRUE)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Spatial interpretation/visualization of the data" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [], + "source": [ + "#stom.win <- content(GET(\"https://www.dropbox.com/s/u1nzn4ztwqa41am/Stomach03.png?dl=1\"))\n", + "stom.win <- readPNG(\"~/inputs/input_1/Stomach_contour.png\")\n", + "stom.win.mask <- matrix(ncol=ncol(stom.win[,,1]), nrow=nrow(stom.win[,,1]), data=as.logical(stom.win[,,1]), byrow=F)\n", + "\n", + "stom.owin <- owin(mask=stom.win.mask)\n", + "stom.poly <- as.polygonal(stom.owin)\n", + "\n", + "spatial.data.xy <- data.frame(X=round(spatial.data.s[,1]*930.05/100+25,0), Y=round(spatial.data.s[,2]*700.05/100+82,0))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Use the subset of the data to create point pattern for smoothing and analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "##################################################################################### \n", + "#### create point-patterns\n", + "\n", + "sp.dat.circ <- subset(spatial.data.s, layer==\"circ\")\n", + "sp.dat.circ[c(3,4,5,6)] <- scale(log(sp.dat.circ[c(3,4,5,6)]))\n", + "sp.dat.circ[c(7,8,9,10)] <- scale(sqrt(sp.dat.circ[c(7,8,9,10)]))\n", + "sp.xy.circ <- subset(spatial.data.xy, spatial.data.s$layer==\"circ\")\n", + "spat.test.circ <- ppp(x=sp.xy.circ[,1], y=sp.xy.circ[,2], marks=sp.dat.circ[c(3:10)], window=stom.poly, checkdup=F)\n", + "spat.test.circ <- (shift(spat.test.circ, origin=\"bottomleft\"))\n", + "\n", + "sp.dat.lon <- subset(spatial.data.s, layer==\"lon\")\n", + "sp.dat.lon[c(3,4,5,6)] <- scale(log(sp.dat.lon[c(3,4,5,6)]))\n", + "sp.dat.lon[c(7,8,9,10)] <- scale(sqrt(sp.dat.lon[c(7,8,9,10)]))\n", + "sp.xy.lon <- subset(spatial.data.xy, spatial.data.s$layer==\"lon\")\n", + "spat.test.lon <- ppp(x=sp.xy.lon[,1], y=sp.xy.lon[,2], marks=sp.dat.lon[c(3:10)], window=stom.poly, checkdup=F)\n", + "spat.test.lon <- (shift(spat.test.lon, origin=\"bottomleft\"))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot the smoothed map of a feature value\n", + "Pick the feature of interest and assign to _i_ (from 1 to 8)" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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MAi9NgBAACL5Bt9Ag1Fjx0AAIAl6LFLtxhDdQWTA7UGI0f9RO7Q5P5v8JYeHlzb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\n7JQ70WiCb6NQXZRpc8VvUpS4HhJAj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P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", + "text/plain": [ + "Plot with title “Standardized Width of Arbor (µm)”" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "i=3 ### i is the feature number. Pick from 1 to 8\n", + "\n", + "par(mar=c(0,0,4,1))\n", + "spat.smooth <- Smooth(spat.test.lon, sigma=160, at=\"pixels\", kernel=\"epanechnikov\", diggle=T, geometric=F, main=\"\")\n", + "plot(spat.smooth[[i]], col = colorRampPalette(c(\"blue\", \"yellow\", \"red\"))(256), main=paste(\"Standardized\", names(spat.smooth[i])))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "png: 2" + ], + "text/latex": [ + "\\textbf{png:} 2" + ], + "text/markdown": [ + "**png:** 2" + ], + "text/plain": [ + "png \n", + " 2 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "### Save the plot\n", + "\n", + "plot.name <- paste(colnames(spatial.data.sub)[i],\"-\",\"Smoothed feature map.pdf\")\n", + "pdf(plot.name)\n", + "plot(spat.smooth[[i]], col = colorRampPalette(c(\"blue\", \"yellow\", \"red\"))(256), main=paste(\"Standardized\", names(spat.smooth[i])))\n", + "dev.off()" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in is.multitype.ppp(x):\n", + "“some mark values are NA in the point pattern x”" + ] + }, + { + "data": { + "image/png": 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JqWn9LcuyXP01UupZTsTVoPSdxZ1vpBZo1WrL5s2Vxa1PKZWhHW1j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EciFKNB+SvSh6GR9t27QJGI6xHREdUCzd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\ncZyWZWgH64jB1yhKS0TxgYxyFfglye3QZWcM4REYbcc3SSHXs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bZ1/vCHB7u+yU6l1x3Suom8KdID5LIBGfiPWoAdntg2PBDPEVEYllmW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\n1vho7gCWT9maY+ynDZssz9poig3DUuU+TcS5JwxrkCeGWkZ1QR2HMQQarw6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d/R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\nRU5ErkJggg==", + "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#### pick the feature of interest represented by variable i\n", + "i=5\n", + "\n", + "spat.test.circ.temp <- spat.test.circ\n", + "title=paste(\"Standardized\", names(marks(spat.test.circ.temp, drop=F)[i]))\n", + "marks(spat.test.circ.temp, drop=F) <- marks(spat.test.circ.temp, drop=F)[i]\n", + "breaks.hist <- quantile(marks(spat.test.circ.temp), probs = c(0, 0.33, 0.66, 1)) \n", + "spat.test.circ.temp.cut <- split(cut.ppp(spat.test.circ.temp, breaks=breaks.hist))\n", + "plot(density(spat.test.circ.temp.cut), col = colorRampPalette(c(\"blue\", \"yellow\", \"red\"))(256), main=title)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in is.multitype.ppp(x):\n", + "“some mark values are NA in the point pattern x”" + ] + }, + { + "data": { + "image/png": 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/p8vqlTpw4ePLimpqampsY5+0DuunTpMn/+/BtvvPHAAw/s0KFDbW3tvvvu+6tf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Q8eYTRJQkRRMY0tFYb5qdzqvjcWJcd0m7GLZ0nscH9XYAACAASURBVKWvPNiUUZYx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\nnCTeiZV55VrpGEh3ELZ+32rAYSvZPSwh+q9uLjuKoui222677bbb+MdnPet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+ "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "spat.test.lon.temp <- spat.test.lon\n", + "title=paste(\"Standardized\", names(marks(spat.test.lon.temp, drop=F)[i]))\n", + "marks(spat.test.lon.temp, drop=F) <- marks(spat.test.lon.temp, drop=F)[i]\n", + "breaks.hist <- quantile(marks(spat.test.lon.temp), probs = c(0, 0.33, 0.66, 1)) \n", + "spat.test.lon.temp.cut <- split(cut.ppp(spat.test.lon.temp, breaks=breaks.hist))\n", + "plot(density(spat.test.lon.temp.cut), col = colorRampPalette(c(\"blue\", \"yellow\", \"red\"))(256), main=title)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "4.3.3" + }, + "toc": { + "base_numbering": 1, + "nav_menu": { + "height": "264px", + "width": "464px" + }, + "number_sections": true, + "sideBar": true, + "skip_h1_title": true, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": { + "height": "calc(100% - 180px)", + "left": "10px", + "top": "150px", + "width": "277.594px" + }, + "toc_section_display": true, + "toc_window_display": true + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/validation/workspace/Untitled.ipynb b/validation/workspace/Untitled.ipynb new file mode 100644 index 0000000..bb9e8be --- /dev/null +++ b/validation/workspace/Untitled.ipynb @@ -0,0 +1,29 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "5f92c0c4-c494-4c78-ba2d-b5165e9ac323", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "4.3.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/validation/workspace/index.ipynb b/validation/workspace/index.ipynb new file mode 100644 index 0000000..8088b01 --- /dev/null +++ b/validation/workspace/index.ipynb @@ -0,0 +1,3030 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "R Code pulled from https://www.statmethods.net/advgraphs/ggplot2.html" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# ggplot2 examples\n", + "library(ggplot2) " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# create factors with value labels \n", + "mtcars$gear <- factor(mtcars$gear,levels=c(3,4,5),\n", + " \tlabels=c(\"3gears\",\"4gears\",\"5gears\")) \n", + "mtcars$am <- factor(mtcars$am,levels=c(0,1),\n", + " \tlabels=c(\"Automatic\",\"Manual\")) \n", + "mtcars$cyl <- factor(mtcars$cyl,levels=c(4,6,8),\n", + " labels=c(\"4cyl\",\"6cyl\",\"8cyl\")) " + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message:\n", + "“\u001b[1m\u001b[22m`qplot()` was deprecated in ggplot2 3.4.0.”\n" + ] + }, + { + "data": { + "application/pdf": 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UXDoi2QUJZLGvizAULbql/Qlo78wPULPG+wvBYwLNi2meb4nHDs9vQbB1nAQGzm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RRQAUUUUAc74i/wCP1P8ArmP5msutTxF/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\nwz0r1Lw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CDo/LNa6kzUsLCw+Pj4AwcOJCQkPPfc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\nuQsPHskoZI52mz7OYy7acdDE5nCyS0qIsgR51X66vlAQOpZ2M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qg4XND1MI6Yp06LUqVpFcmRqpRIeYKGYgXTL9iUmwZMen3uzpe+njVr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\nAAA8o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"# Kernel density plots for mpg\n", + "# grouped by number of gears (indicated by color)\n", + "qplot(mpg, data=mtcars, geom=\"density\", fill=gear, alpha=I(.5), \n", + " main=\"Distribution of Gas Milage\", xlab=\"Miles Per Gallon\", \n", + " ylab=\"Density\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "application/pdf": 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3/9E/f6wHc3FhR0f7d/+Nh6p6fzSaLk35iz8kmYs6aRLLJZ9qyy99rpqozeDNrM\ndWFWX6/VptbJ1nSYSIf0nNEszF6NYCzImcq5mMPlsBUwZdiDmKOSUFaWYAtZRJat3vA7xlIv\nuAa8X/bp5Eu5KjVG/Us65EScuRoS7PXbQsMPJj9p9G88uuXa54v2hDv3n+vz/tgw8UD+hqYy\nHv5X83h36dpgfv7qei9kQMq3frunvOXxt0eSxp79TvrCXetv8DeI/BWS+eS7cuEO/wE/3RF7\nIJbSXK0+GCOkCNSVpDUGhTRzGs3KygjIHm3fvF3zxudx86pHE+rMjMcEc1rQbK6qs3LAFVRP\nVdPj1VDNGmzIvNSYaylt1GpTfOsSwJswnkATEgyhFNHjCxEmicJI2m5k8qi6Aq42Jo9ZPWJq\nVOhFkbjaXCgVITObaUwVFEd1JGKzFlQbC5OWOQ4UC0ftylHUTI0qlWCBJ793onH3D1f+Z1rZ\nyvKipsps1U9i5nU/vvWNf3SWGzLiMquzffWeJE6VXrtm2L7ivmbnPyy4c1XxuoTnjmw+sCSD\n8uXVa8tSDTnVPqO8eYnr5clpT6iR5/o1mtS5jSVFTeW2B6rWDxW38mAsXFXf0s786X4U7n6U\nq5VUyrmiuQDDuVmKtbKkJpLRXMacRtCQ5FyTJZgcGy+qDUp+UuV706Vsxa4UGlEsLDVBVnN8\nGZzZp7CaaI6Gc+NDTOVPAscBb3KVhUotubr4gozKlXNTuMrMugVliYnllaUJlavL09Xc9wVh\n3oYDjdffYHMrxX3YWfQ3c8krcvOQZ4+H9pl3mcfN3GYLZJWAMxXMRSBQM6W6jNQM6qi320lQ\nxqTORCdMx01hE2cqHdXVx8jJGcGYGHdwafq6dGpDA2gvnSqlo6VQytbemeMMVpWCWAomt5AX\nshEHTDiuOajDYRPjQkK7rl9HR9Gz6wTUAqYB4pXoC904sLRmgLn3Gx7lRsJDZpOdWxw6RNw4\nllkwLmFyUnvQclTMiSRmCNzZ8v7v9ax9bNvi+GOJE6NlHYEcz7LhwPzRbvm3v3rht2lPaQtq\nmj0jQ67FW+a7VjU3zJPAtejORle63LPIurJRzJlfMKfKaTUZnbUbFx9+/N6DCc5Su2Fhg7s0\nJ13UJdu9C1oi+75laE/puF93kxfltBX6jfp9eq6ZdlElcaTNri4XbXZ2OWn2+Znfy61xxiAG\nUFUMJDuOOugBx7sOytXgfsxuwxa7joVOM3jNx8x0ApMbz6jDmrVVstl0LJlhITRlMDdXdAxJ\nKnFwULdbR7t1YLklWEa9DETkyLb2N1Mc15yCdbhl2MakSVxKoISvBMmITBVDs5sks8RFckg+\nXb735Z19399WHXdWl1vbFcSUxO1cMhDMXzS/ODHs5aTru1MLJjb0/HC7DL/uDe8KFK0eCZhz\nG8rtrqaRpfPvWOoW07IS6CdHp+dnFcvDT0Vkh1tn3qCcdayVbTbtqJZqtZqtdIIH3gvjQAF4\nFceOMqiaCizLThEtwRqhSegUOIHnRKzxnEqlgSHcQjHH4vO5vL42xZ4SUbXYuUChYlPFklEo\nzvIZJfMT0D39Kix+GlYe5Sv+9eSfPk86qvjFEK6jHfMhE8kh/XKoNasni0a2vtyK1I2ptDWx\nJ5Hy8bDduM9Id+gP6KkuFnQa2KE+oKbbuX0c5SmocQEnEo6jx8sbzdjKFix50KC2R5N65YyC\nLQiLlLcESqbYVHFkN7N4iP9K3m5fvPfMxu7Tuxsa9pzp7Zrcs+hcLq7AoqGluXlLt9XXbVvq\noj/79fRfnl248CSY3/gdJD5dXf309J9/98NLe+fO23vpB0/94YHy8gf+gHLvRrnHIq+5GAEW\nD/MwnLI3hY6IYyLtyoIVWZhxtEo9EtdjhzQ7JJthOHVvKlWlQk76VlkjZzuDsgbGNaBxjsZv\nNQ1l78mmpmyR2FCKzA9YcWNDNNkPxcOa+C3xd8dzMfEp8TReP5ikhuzISpXO5nRsf+PztXkj\nFu9Ck48YfNuNDY6vuFK43fkrCZtKLZm7fY8+dWx0qaNmXVnJuoVe9XntgqHvbe45MVDha+4f\nufuOFUn00q7hFx6+++79KypWV1ozKlrLjYv2dZUVrp9YWzc6tKW7a2NP6dGILv6QEMGGuqgj\n3XK6bpWsGSfHyClyifBEPyrrQdZP6S/qL+t5PeMxC81Vza0ivMjLPKfm6bqQGsLqy2pqUING\nrdYKHE/iMXWq8pWyjfbAFaaTVwrRxylRjmmAZJSMdiM7DPQZ+Y7rqgsX6GcX6IPXB4X7rj9H\nmz7bpejlCuZfMK7EkUwyJJfvsB2w0aG0PWmUnQLSHfEH4umR2KdjKR+bEEt12lQt1QmpAipj\nAloNqZMnDGBwjBY4wKEEbozPlxyQXGfF5UsIxYgZIc5yQzfbXANfVU8QIzsfUfq6zWT6Z/8x\ncHrnfPjTveeG572S07ClprZvSZ57cU9lbf8SJ82Yfn/632sO/XacFgQOvX3o3hPrc/I2nNh5\n7/fX5+asf5rxt2d6JfK3mGSTMnJYFnvm7ZhHe5w7nHSf4wjGjvMzl2WTOiZYb2210np1q5ru\n445wlGPwKoQjh8dzIKdidE6aIUBEUSwQr4m8RgxXQFUF9FdMVFBrBcxUwFTF5Qqa5g5lihaD\nIVVTEhIiuUgVPiCS1CorVDgrAVf0GCTiILNz7BiRcb1uC85fJ5DctqP9Qz/yCIDXGRaxf4QR\nG/cW8rKuqv6jbbmvJJWvX1jRu9STXb8l0LChPIlm7rx4pLmlk9oKytOnWwVVTrDcqeUcvrKU\nonqvOfTwm/d1PrFlXmb7Mw8MHlvvKtt6DPV15jrq6xt8GXFyk7LjT4lQlrcwj47kjeV9O48r\nFmtFOiyyI2OuJD2QTkswVjP/adEbg6Vp9Wm0NA3SRKyUkIBitddkrQ5r+oCe6lnNh7VSqEcX\nLLJSXH0c5eJETAvj9Jb0NDUQe64dWuxgUdvtagtnyHOKTqZf9d7CYL0TipyQ7YRPnfC68wMn\nPeGEI07Y4YQSZ8C50cklO+EjJ5xlTXuch510o3O7k5YqXRKcoHKiYxENbBYzWkOroceww8DH\nGF53f+D+xM2dcMMRN+xww0Y3NLmhxB1w02Q3fOSGD9zwmhvOuuGoG/a5YUhBKXVDgtvhpio3\n/OpT1vWsmxHie6Jdte5kN8WeL7lhhXuje5+bwx4u1gmwy/tu+KdZqk+54bBCeJsbOhk2FLlr\n3DRzFvfoJ2541f22m55xw9Nu2OOG7WyGnW66gKGCxZ3tprwb/uj+q5u+44bX3YC8PKJgbnRv\nd9NZbhwMF3jGk/y7KFenFWQ2vyNursbd5KYls+P2fMJowjuzzHFD7j2sOYDscA6GYnHTjxgL\nH7jpYfcJN0UeehQGalhriZveYPNppEAPKCxCO5uDA4fi5p1wv+Z+x/2Rmx9VxNrghoKoWD9X\nuh1XRLMzIpFON5fqhmuK8H7NRLXHfdh9xs1XuYESt+imGjWz3Vx0oAvUUKSGTDWo0/I4g8Ge\nG2sM5qNOKW8LgMXOxWGKnOhjmwH2QoPEDei6W084b5x8rvv6g8+vORP90rnobYH4drprvwpn\nm96bZ6e3orvm+eITS/1er3dgm3KC64seqA64Ir829sd+A5Kd80BOdo5KHQdqzs5OVCHRklgy\ntxLmmm6v8Ed+87zGqInRamM0Js3pi9O/OX1OHadWazRajah67WevqEUsazRqg/pCmP44NZTt\n9ua7s5dZry/ky65LidW2rJxsh1U20/9xPTllQXqmHWvVKfRSNOapKMtdqVuO/VYePGaFWDE+\nKRiLxvcCegfFFaQiIFcPeuYunDYpCx/xafhAZ5CBK/kCQpQ3AtkbjRY7xjocqe41TgcpIvQd\nAgfJ44TyBDTEc9ADQx4o98CvPXDGAzoPvPWsB4o8YPNAggeIBz7ywEUPvOaBMEPd4znh4do9\n0OQBWcETPcB74LFrrPtrnvc93HGGdthDQx6o8UABa3Z4KFK5zFDe8dAJD+zxQD/rXePp9HCR\nkSLDRAZ4zcO3s+YmD42Q72YUI/SFUIRijYdL8EQo7PEwuh95NKznRx7uIMNgvYc8/Fx5+fsK\nc6xHhIqATDJ0+rIHWGfawCaAgeNzD5yI8DCKqZ/sCXn6PVwVE4LNQzNS15A0OY2q01RmZdMt\nxqPszelcgwOI3sGlxSumwXJeoy+SXbRFzOCGAiufEG7R46+o/1cUfG2kIL6nFApxN+H3Kloc\nudrY3SYZi0rmlsxVtBfs4OFQlS2JGcDCow8iHwfAZxRWUIpRw6C3GqYP75seV+kNBrVRxJBI\nT34Od6oT4g0cJ5oTNND/Mfecr9ftK/AVujpyvpC5KUNuvjexuHTeXG93zhdNwn1feBOqFpSL\nYsWCygTuN0pqhHHrACqxX/l+oCaDsp5TBwjLyAp4TsMrO1JzUpDnNdoZLVzWwiUthLVTWnpM\nC/1sr2HVAtHCNaVBy9CN7EuCFhAuGHgzWY4bd8yMquCW7wfbtrFjC9faNh/LVE3FPjOH2duB\nM2fOCLbnnvvsMl/2+euRfLJ75kPhOObY+eQl+f59Luh1wYKsZVlUSDInNSdxKxJhhQmEeHN8\nczw3EjsWS1tje2JpLwe9FOqzWrNocTrs1B/UUxl3ETGONVZZksgu67iVWr2jNm+7d9TLmVef\nIhcItREw4IjSumuZkJkppKzLM4nrhAKdrKMTuss6ijtu/saOmx1BtbFsD3eLbSniG21YT4lu\nk0hb9Ow0epmK4ksc0U8K3K1ZztxiCXdU7KTKkU27WydB9fz9r0102s+m1G860DL6yt3+Bff/\nbNfyQwMr0qdX02bvrid/svn09CeTrfTn34eYl7s8K3YuLilqrpBChy/u2vXbo81p+XPTpo9P\npxSsXJB9x99DbESG+wnh/gNz3yxyx0skE32LQ60LZgXkEIFjZAYVIGeUKCdvl3P4qRww5MAo\n5oLKOZQpMZgcG5jSo6mI+gLM26/pBY0+WRWyiiaDnp28FCqZX+TkxcXyv+ihAyq7ZJzN6r6a\n8JmNXGliUXOV3F2feyZyIEMxH02pXNYbWHV/Uw790dLe+an5zfc0Xn+QW57ZUF2gFtyl5Qne\nRcXp7jUPd1733uBNZUfeyumrLxEn+k+NLmhT/CcWMstRk/WewLveT730rBfyvK3eA15O5YWn\nvWe9/+T9wMsf8MJ2L7R6QeW1eANeTu1Ffl/Xg0pv0ZfoP9B/wvj93A+/9L/r/7Ofe9kPR/1w\n0A89/h1+utoP9X5w+cv99FM//MUP7/rh13545SYSIEqev9RPU/2g9cOv/uL/3E97/Af8R/0v\n+X/pF7B58U2MCBE2FL0x0D1+wBEa/Kv9m/281Q88G+IvfnrKf8FPsX2X/7ZmnR++PcPIyDNw\nyQ9I5hQj87if7mKT2eynS/1Q7geHgoqj3UB6nNEa99NOPzT4oYqRBYPf6qcRpJ3+g/5n/S/7\n+T6lf2So3pf9bDKcMgYoIwDSR1Y+Z52uMj5+zeYKnf7DjEU2VQ5Z+Ih1eNb/z34OO232Q5HS\nyeCH0pcR+LmfO+6HIdYlwhsXGY6NhW0nGDID7/TzSOiiH2i7f8J/3D/l53H0Aj94/UBkkx80\nmcWhXDGqrt6IvioKy3Q24rXXKZ76dj9+u3v/itv/+s/F0S/JA1+hdnvniKVEMx8GiHxIQ6/h\n+gaDsSTesBv7TSSOoD3MLV0z3/7CTRNKmtfQIe8cT+OSKkKd8rI7FzlOz2J9k1Gt33zTtCJ4\nrqZ7l19/EN0Dj3ukZZjfqEkCxMv/uJFup/sot9G03bTPxPXADjgAXE/CjoQDCdygareKdqng\nbuGQQHsFGCFjhJaSVtJDuGFuL0dLuBXcRo5bxUOQh2Y11KnBRDlIIGZVlqpYxalU8IHqExVN\nEZxCmcBpBfiz8KlAVYJez6cQJ+5uOS2BP5NPcV6i2qYuUHM2zHzVFjOXxRVznIqDD7hPUAyn\n+As85UOWsIUWWNotE5YpyzWL4MV8mK5LMJm2Yyp283ChLfJPedjHmDYfrgo7Qh5ghUjgxoJS\nLsW/yHfNWy+Jk1jyqWURPI5TcxI//t3r9z71Oq16l5Zc/5GYbjEAjUtMN5yhBnhiulO477Nd\nPM1dVp0vCJ6aZbnTc9CP7Z35kPsL7kOzyA659ggHKZJTKpO45LiA7NWN6+gFHYzrjulmdJwu\nZxQClxxXHZQ4REeB45qD1zjCkS8n4ZxrOXQmB/qj/lvP/Ddqv8VkjiWGWWftYumMooezx5o+\nJWiBMRqXijEYs/Nfu4crnv3gZISyb/LXmCUvm1UuOvjF81/22BNd9DfMX1tnrlGn4CYWslNe\nmRsHPXE74g7EcZgZ9+jZcSB3kAfeptUHt/B380/wz/E81mKDfZZdFmqJ1Vs4MaDVjAtABFGw\nCbLAq4XRJDCoQrHsmFBrMEUPYt5sUxaUcenzXUmMxGVXm8J720AWOyYsNtqLfXN9Zp/ZHv0M\nQp15zfN+f8+e4rt+8QtfVcqcdI1O/zF9e/df/7r7evOSKo2KkEjU4djXCBJLeLoE3xlEREgc\n2UVmYDl0wF1wLzxCX6fv2bJtBbYy23NS5swM+/dv5Dgsg3ZsvyfabsL20hvtf/sCHOM9+DY8\nAU/i73j09zr+fgG/wPbEb+xNcOnjcI7s35LpiYB11VcwUm8pJxHjjbL5/0B59oohLJMkRIu3\nBm+LAuVJCklGGzNhWYfySidpWGL/dpD7v6T7/9UlvIFZ+D3oac1kh/K87ULvkEDuJGTmQ1a7\n+Zxe+f92FprI6wx5hZwix29r2k/uJcq/Db3lukD+njyrlB4nD34D2ZfIyWjpMDlKHvibeL1k\nN9I5gePfvNoRuoN8C0c+T36A5pAJPhx1c7T1n8kvv54U/Av8kjyC+/PN+DyHz8dRSXfSv5JH\n6DKylf437j5yP+5+jpNj0EPGEb+dnIDVZC1CI9da0kX6vkR0jEyQ75MRMnoTJNw3859E/8UP\ncOYHkM4RjHYDt/T4IXzKXpwV5/4j8qICu2+2UR3keulZSq8/ipWHSTfeHfAuzvNBbj6pEYzw\nDCFybWtLc9PyZY2hpUsWL2pYWB+sC9TWVC+YL1dV+ivKy3CDV1I8p8DryXfn5mRnOeyZkjUp\nwSga4vS6GK1GrRJ4jgJx19oD7bZwdnuYz7YHg/msbu9AQMctgPawDUGB23HCtnYFzXY7poyY\nG7+EKUcw5RuYINoqSEW+21Zrt4XfrLHbzsOqxhYsP1hjb7WFryjlxUqZz1YqeqxIEvaw1SZt\nqrGFod1WGw5s3zRW216D9CZ1MdX26q6YfDeZjNFhUYelcK69fxJyK0Ep0NzasklKNHo2bJjL\nqu3oDIcaW2prUiWpNd9dH46z1yhNpFohGVZVh9UKSVsPmzo5aJt0T40dOi+S9e2u2E57Z8ea\nljDXgX3HuNqxsQfCRlc4z14Tzht5Pwk57wq77TW1YRej2rDsxjgNN4eEsJAl2m1jHxNkx37l\nw9shHVGIKkv8mLBiAMU7Nhaw2wJj7WMd52dG19tton1sMjZ2rL8WJUxCLdjr/MyPD6aGA4da\nw2L7JiiLMhtY1hA2Na5uCdOsgG1TB0Lwr8ouzUuVjK2zOKG/1UxQECgOlKkkMcYPnpfJeqyE\nRxtbInUbWZ96msheV2uYtrOWqdkWczNrGZ1tudG93Y6r2bC8ZSzMZ9V32mtRxgc7wqPrUZ96\n2VLYxXDcJ6mSfSzeaCv1tiq4NpxVfWePLSxko1iw160dUFNYlzFRqcR9EnldScUBso3xtlI7\nkmF0au217dG/7ZuSkIAt3x0OuiJL39QSlmuwIHdE16h2ssCLPTracYl6apTlC3vt/eEE+4Ib\n68mmVduzvEXpEu0WTqgOk/YN0V5hb20NG9lWO9ZeE5kCo2VvbHmJ+GYuTxbZUl/wkSLSWsOQ\nLdWoV9m1Yy2dG8PW9tROtLSNtpZUKSy34gK32lu6WpmioYTyLuNwkjJimFY3tTQstzc0rmqZ\nF51IpIGR47Nqv0TG3pIaIYMqF9ZkaWwtNJVrRUQRAbYAFuwLKvAZVmdp8BZR4AqUqeqCClsL\npJJZbJxGOM9W21UTxWP124gKTJ2qg7PUVKyKdKqDqVKrFLny3RSbbdGBsYeGCTU428RloSdA\nGEUyCojJMonpvK3F3mVvtW+yheVQC+ONiUeRclQYisyja9V0W+0WYaGYiITNsxUmzHDAlXqr\ncMN1Sv1GNfil5vrZZtuYxt6wfIwRt0cJEpx5fZgwFZbnGVMV62f2bA90oBGjRSv2PDYpy8yW\nNzGzHbPXd47Zl7dUKNjoQe5JHWFjxZMGaGhakO9GZ7Zg0g77Gydl2L98VctLIqaT+5taTlOg\n1e0LWicd2Nbykg1jhQKlDMqArGJjFUZpGVY0Cn7qSzIho0orrwCU+obzQBSYZhYGZMN5GoGJ\nszCKMD4CkxUYu3CVkjahjNF/19o62frc3bpprL2V6TixoETwD8Jgr0Tp2CsngapiwzH2rgVh\nnX0Bg1cxeFUErmJwNWoGWCDfPTIm1to/TspXAjq7jX959ant3DpDxcfEGslVLqTMKNH4rUcW\n/8t0+/VHNd3qIGGJDJ1NBDDOVk4vIdWaqen26Y803QqlW68M+iGp4QeJFze7K9mGF35OxrC+\nCe9WvJfgvQLvleymJ8l+xCnF8jK8n8A7hHe38HPywyjeHuHnM9dVJzH2/5wcwB0wUZWSboTv\nR9h+YQXhsbwX4VYc200eAQ19in7ATfDtQobwoWqNWqNeoeE1T2n+TbtW+28xRTEndLJ+fdyr\nBhF/p0Wb8e34PfH/27QqKpMMWEaayCHM7XFXTLwE4dyTwhRm2XRSK/8UWOZvVZ7HgJcfgqnr\ncOo6kOsQs/RzsH0OH4dyrX8N5Fr/Z8BpvRZwWddd3XWVGq4uvbru6vjVU1cF3Z/ez7D+6x8D\nVsMfQf5jwGL9l8sB61uXL12+epmTL/tKApcDSdb/7r/U/Ac/13wJuOb3uBmr4XfW31HlIf8q\nKTXw1qvwylSF9WehbOtPfpprnXkJQuf7z4+e55T/WHE+vjBgPVd1bum5vnO7zh07d+qcuv/0\n8dPh05zhNEy8COEXwfAiaAwvVL1w9QVuNDwRpuHwVPhimPOeqjpFjz8ffp5OPX/xeep9ruo5\neuxZmDp58SRd+sz4M9T7TN8zF56ZeYZ/4nGHNfQ49B2BC0fgSCDd+neHE627Do8fnjnMFTws\nP0xHH4b+8dFxOjEOU+MXx+nSQ+sO9R3i9gVmrMf2wp7dc6xDg1XWQeSgb2uFdWug2JoCSc3J\nvqRmtY9rViHP7di2Du81gTnW1auC1lX4NhXGNwsoE76Qa+7jwMBVcfRq40wjlRuL5wXkxqzc\nwFtyUwjqAzZrEGnW4X0qAJcCVwN0NACWQnOzEQzNYqGhGZO4ZiBgtRqqDOsMuwy8weA1LDX0\nGcYNlwwzBnUVwq4auD4CoxYQ4DxMTDYtd7kazqtnMClQh1aHYX84azl7yo2rwqr9YdK8anXL\nJMBDrXsffJAsSG8IFy5vCbentzaEO7Egs8IoFsT0SQtZ0Do0ODSsfMKASIEMuVyDg6wErBb5\nvAFKCVyD2Ixog0ODWBkaJoOuwSEYHBwig0MIH4S1WB4cZOBBwB54D7oi5JECEl6LBPAxFCE9\nOIj4g9h/MGktqvx/AWsEaVYKZW5kc3RyZWFtCmVuZG9iagoxMiAwIG9iagogICA5NzgyCmVu\nZG9iagoxMyAwIG9iago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4NVvEctLqkMumzTyyTtnMhEkcbhmzg9MA4r1jw38GPB/hLVrbUtL0lobm0V0tFl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\ngqa2/wCWv/XM0vnp/wA+0X5t/wDFV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NHmxf88B/30aAIauSf8guH/ro38hUPmxf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\nzrf11S9jhQWO8cAViRQSCCYeW2T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L7FQ0UATfZT/wA9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320TZs2CxYsmDJlyvfff79s2TLSTAAA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\nLmIHAAAA8JscLuzEf3+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61WuuBms9ls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jxo2DLbfccsstt9wSfFpQUBAaRK0t6H6j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\naqby8nK5XB4TExOSZ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combination of gears and cylinders\n", + "# in each facet, transmittion type is represented by shape and color\n", + "qplot(hp, mpg, data=mtcars, shape=am, color=am, \n", + " facets=gear~cyl, size=I(3),\n", + " xlab=\"Horsepower\", ylab=\"Miles per Gallon\") " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in geom_point(method = \"lm\", formula = y ~ x):\n", + "“\u001b[1m\u001b[22mIgnoring unknown parameters: `method` and `formula`”\n" + ] + }, + { + "data": { + "application/pdf": 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2ExIDw8IC9DQSAwLjQgL2NhIDAuNCA+PgogICA+PgogICAvRm9udCA8PAogICAg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VchQAUUUUATN/x6R/77fyWoamb/j0j/32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\nAFrKg/1qfWuxkRZEZGGVYEEe1cvcWbWV8Iz93OVOeo7UAVG+8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btKSkpYlu19IqAnR2wfXh/AfQijhhaL\n5VLfCAAA/kbeU7GC6dOnr1ix4rXXXrvnnns2b94sdK5cuXLt2rUbNmy45pprfvGLXwQHBx89\nevQvf/lLTU3NAw88ICxz3333ffLJJ0888QTHcVdddVVtbe2f/vSnwsLCf//734NvcciVX3HF\nFcHBwa+99lpnZ+d1110XGRlpNBrXr19/5MiRuXPnJiYmxsfHD75A/42uWrXqvffeW7t2rVqt\nXrJkiUql2rdv33PPPafX61evXn05H6B4a16+fPkbb7yxfv365cuX63S6y1mV24MPPtja2vrs\ns8/efPPNzzzzzPz582NjY00mU1VV1aZNm4xGo16vf+mllwYZIBRvfwU5OTmhoaH//e9/TSZT\nn2tv1Wp1Xl7e9u3bbTZbTk5O72lfT47YPrw+gPsQjrdNmza9//77DMMo7NF8AACBRer7rXhq\n8NvYtre3Cxeuvv322+7OlpaW2267rffoV1JS0r///e/eb/znP//pHlAJCgp6+umnv//+e9Lv\nNmD9n6E+5MpbWlpuvPFG98PsCSEajeaOO+5oa2vzcIH+T55oampasmRJ7zP6Z86cWVZW5l5g\nwGqFh0dNmjRpkI93yDVf0n3sendOmDCBEOK+6S7fc9c0D29QfDG7du1avHhxn7CYnp7+8MMP\nNzY2Dvl28T5JgTD8RgjpvU7BK6+8IrzkxUHV/5Dw7gDuvyPu26wYDIYh9w4AAPwWxfP8xVOf\nHzGZTN9++61Op5sxY8aAC1RUVDQ2NoaEhEydOrXPG0+dOmWxWGJjY9PS0vq/0Wq1Hj9+nKKo\njIyMoKCgAwcOXHnllYWFhcLdKOrq6qqqqtLS0vrcMMLDlZtMptra2ra2NoPBkJGR0fvq2iEX\nqKqqqqury8jIiIuL6/2W9vb2iooKp9OZkpISExPT+6UBq7VYLPv27TMYDNOmTRvwo/NkzRzH\nlZaWarXarKysi71d+I5iY2Pdt50jhFRUVJw9e1aYNBS0tLQcO3YsKSkpJSWFePDNDsJms1VX\nV7e2thoMhpEjRwoPXfCceJ+k8HZCSG5ubp/rYNrb24XT+yZNmiQ8yqyPQQ6qAQ8JLw7g/jvC\n8/zx48e7urpSU1MHmcUGAAA/J5tgJxKTyeR0OnufVvXJJ5/cdNNNy5YtG/Ax9gB+BQcwAAD0\nJvuLJy7HW2+9FRIS0ucKBuH5m57cegNAWjiAAQCgj4AesTMajRMnTjxz5sw999yzZMkSs9m8\ndu3aL7/8cuzYsQcPHhzwRq8A/gMHMAAA9BHQwY4Qcvz48ZUrV7qf7ElR1NVXX/3GG28ID9ME\n8HM4gAEAoLdAD3YAAAAAihHQ59gBAAAAKAmCHQAAAIBCINgBAAAAKASCHQAAAIBCINgBAAAA\nKASCHQAAAIBCINgBAAAAKASCHQAAAIBCsFIX4JGOjg6fr1On01mt1kC4P7NGo2FZ1mKxuFwu\nqWsRnVqtdjqdTqdT6kJEx7KsRqOx2Wwcx0ldi+hYlqVp2m63S12I6Gia1ul0HMfZbDapaxEd\nRVFardZisUhdyHDQ6/WEELPZLHUhw8Hrn9fQ0FAx6gk08gh2DofD5+sMCgpyOByBEOy0Wi3L\nshzHBULc0Wg0LpdLjAPG3zAMw7Ks1WoNhJ2laZqm6UDYU+FrdTqdgbCzgfO1EkIYhuF5PkB2\n1mAwBMjPq3/CVCwAAACAQiDYAQAAACgEgh0AAACAQiDYAQAAACgEgh0AAACAQiDYAQAAACgE\ngh0AAACAQiDYAQAAACgEgh0AAACAQiDYAQAAACgEgh0AAACAQiDYAQAAACgEgh0AAACAQiDY\nAQAAACgEgh0AAACAQiDYAQAAACgEgh0AAACAQiDYAQAAACgEgh0AAACAQiDYAQAAACgEgh0A\nAACAQiDYAQAAACgEgh0AAACAQiDYAQAAACgEgh0AAACAQiDYAQAAACgEOwzbMJvNTU1NOp0u\nNjaWYRhCCM/zR48e7b1MSEhIUlLSMBQDAAAAoFSiB7u1a9du2LAhPDy8u7tbp9M9+OCD48eP\n7+zs/O1vfxsdHU3TF4YMJ02a9Mtf/lLsYgAAAAAUTNxg9+23337xxRcvvPBCenq60+l86aWX\nXnvttTVr1nR1dRFCVq9eHR4eLmoBAAAAAIFD3HPsRo8e/dJLL6WnpxNCGIbJzMzs6OgghJhM\nJkJIcHBwW1tbW1ubqDUAAAAABAhxR+xCQ0NDQ0PNZnNtbW1jY+N//vOfW2+9lRDS1dVF0/Sv\nf/3rlpYWs9kcHx//0EMPJScnu99osVgcDofwN0VRFEWJUZ5Iq/VP4n2MfoXqIXUhonPvY4Ds\nLL5W5RH2MRD2VBAgx7AgcPbUD1E8z4u9jWPHjv3pT38ymUxz585dunRpSEjIiRMnvvrqq0WL\nFo0fP95sNq9evfrs2bN///vfhUsrCCG/+93vNm7cKPwdHh6+ZcsWsYsEAAAAkLvhCHaCrq6u\nN9988/Tp06+++irL/s9IYW1t7X333ffyyy+npKQIPe+8805ZWZnwt8FgePbZZ31eD8uyHMf5\nfLV+iGEYmqY5jhu271pCDMO4XK5A2FOaphmGcTqdLpdL6lpER9M0RVFOp1PqQkRHURTLsi6X\nKxB2lgTS/4dVKhXP8wGys15/rSqVyufFBCBxp2ItFovVahWukAgODr7lllvuvffe6urq0aNH\n914sJCREWNjdc+edd955553uptFo9HltYWFhnZ2dgZAAgoODNRpNV1dXIPxUGAwGu91ut9ul\nLkR0Wq3WYDAI/4lJXYvoNBoNy7Ld3d1SFyI6hmHCw8MdDodwhZmy0TQdEhIinHiteBERETzP\nB8jOhoeHe/fzGhUVJUY9gUbciyc+/PDD3/zmN+4RhdbWVkJIaGjohg0bnnjiCfe3fvjwYZZl\nExMTRS3mYqqrqyXZLgAAAIBviTtid80112zatOmZZ56ZPXu22Wz+7LPPrrrqqujo6CuvvHLd\nunV/+tOfZs6c2dLS8v/+3/+78cYbDQaDqMUMorq62j0LDAAAACBT4ga76Ojov//97//9739L\nSkr0ev2SJUsWLVpECImLi/vb3/62YcOGkpKSkJCQBx54YObMmaJWAgAAAKB4oj95Iioq6u67\n7+7fHxsbe88994i9dc9h0A4AAADkTtxz7OQFJ9sBAACArCHYAQAAACgEgt3/wKAdAAAAyBeC\nXV/IdgAAACBTCHYAAAAACoFgNwAM2gEAAIAcIdgNDNkOAAAAZAfBDgAAAEAhEOwuCoN2AAAA\nIC8IdoNBtgMAAAAZQbADAAAAUAgEuyFg0A4AAADkAsFuaMh2AAAAIAsIdgAAAAAKgWDnEQza\nAQAAgP9DsPMUsh0AAAD4OQQ7AAAAAIVAsLsEGLQDAAAAf4ZgBwAAAKAQrNQFyEx1dXVKSoqo\nm2CaGtjyY5TF7Ioa4Zh0Ja/Vibo5AAAAUAwEu0smarZT7y3V7Nz+Q7Nsr/m2u1zhESJtDgAA\nAJQEU7F+hDnX3DvVEUIoi1n7zedS1QMAAADygmDnDZGuomCrKvp3Mo31xGIWY3MAAACgMAh2\nXhIj2/GcY8B+iuN8vi0AAABQHgQ7P+KKjevfyQcH84bg4S8GAAAAZAfBzns+H7Tj0jK4lLQ+\nndZ5iwhF+XZDAAAAoEgIdpfFx9mOoqzX3WTLynaFhfNqtTMu3nLDbdzosb7cBAAAACgXbnfi\nX3iVyp4z154zV+pCAAAAQH4wYne58JwxAAAA8BMIdj6AbAcAAAD+AMEOAAAAQCEQ7HwDg3YA\nAAAgOQQ7n0G2AwAAAGkh2PkSsh0AAABICMEOAAAAQCEQ7HwMg3YAAAAgFQQ730O2AwAAAEkg\n2AEAAAAoBIKdKDBoBwAAAMMPwU4syHYAAAAwzBDsAAAAABQCwU5EGLQDAACA4YRgJy5kOwAA\nABg2CHYAAAAACoFgJzoM2gEAAMDwQLAbDsh2AAAAMAwQ7AAAAAAUAsFumGDQDgAAAMSGYDd8\nkO0AAABAVAh2AAAAAAqBYDesMGgHAAAA4kGwG27IdgAAACASBDsAAAAAhUCwkwAG7QAAAEAM\nCHbSQLYDAAAAn0OwkwyyHQAAAPgWgh0AAACAQiDYSQmDdgAAAOBDCHYSQ7YDAAAAX2GlLgBk\njLJY1Af3U+eNRB/kGDveOSpB6ooAAAACGsXzvNQ1DE2MIinqwr6fOHHC5yu/VJmZmeKtnKIo\nIsJnyJ9rdrz+N2I2u3uYBYuZOQW+3cqlcn+tgQA7q0gi/Qfrn/C1KpLXX6vwKcFlksd/VEaj\n0efrDAsL6+jo4HneTyZDU1JSRFpzcHCwRqNpa2tzOp0+XK3+328zZxr7dJqX/Z9zRIwPt3Kp\nDAaD3W632+0S1jA8tFqtwWAwmUxWq1XqWkSn0WhYlu3u7pa6ENExDBMeHm6z2bq6uqSuRXQ0\nTYeEhLS3t0tdyHCIiIjgeb6trU3qQoZDeHh4e3u7F+kiKipKjHoCDc6xA29Q5u7+qY4QwlRV\nDH8xAAAAIECw8xd+MnDoKY67SL8vBwUBAADgkiDY+REZZTs+OIQPMvTvd40cNfzFAAAAgADB\nDrxCUdb5V/c0LpxIwaWP4VLSpKoIAAAAEOz8i4wG7biMsZYbb3PGJ/JavSsi0j47z3rtTwiu\naQIAAJAO7mPnd6qrq8W7Qta3uOQ0LhlDdAAAAP4CI3b+SEbjdgAAAOA/EOwAAAAAFALBzk9h\n0A4AAAAuFYKd/0K2AwAAgEuCYAcAAACgEAh2fg2DdgAAAOA5BDt/h2wHAAAAHkKwkwFkOwAA\nAPAEgh0AAACAQiDYyQMG7QAAAGBICHaygWwHAAAAg0OwAwAAAFAIBDs5waAdAAAADALBTmaQ\n7QAAAOBiEOzkB9kOAAAABoRgBwAAAKAQCHayhEE7AAAA6A/BTq6Q7QAAAKAPBDsZQ7YDAACA\n3hDsAAAAABQCwU7eMGgHAAAAbgh2sodsBwAAAAIEOyVAtgMAAACCYAcAAACgGAh2CoFBOwAA\nAECwUw5kOwAAgACHYKcoyHYAAACBDMEOAAAAQCEQ7JQGg3YAAAABC8FOgZDtAAAAAhOCHdG3\nt6osZqmr8DFkOwAAgAAU6MGOMZ5LKdmaXrRJbeqUuhYAAACAyxLQwY5ua9V9/G/GblN1m9KL\nNms726WuyJcwaAcAABBoAjrYEZeLUJTwJ2u1pBZv0Xa0SVuRbyHbAQAABJSADnauyCjzT5fZ\n9UFCk7VZU4s369vOS1uVbyHbAQAABI6ADnaEEFdYeGX+ApshRGiydntq8RZDS7O0VQEAAAB4\nIdCDHSHEoQ+qzC+0hoYJTZpzJO/abmg+I21VPnTq1CmpSwAAAIDhgGBHCCGcVleVv8ASGSU0\naY5L2bU9tKle2qp86MSJE1KXAAAAAKJDsLuAU6mrZs8zR44QmpTLlbi3JKyhVtqqfKiqqkrq\nEgAAAEBcCHY/cKrVVTnzTCNihSblciXs2xleq5w8hAspAAAAlA3B7n+4WFV19tzOuAShSfF8\nwre7o06XS1sVAAAAgCcQ7PriGaY2K7djVGJPm487/O2ICoWco4ZBOwAAAAVDsBsAT9N1Wblt\niSk9bX7k4W9jThyRtCifQbYDAABQKgS7gfEUVT99dmvKaHdPzLHDsd8fkLAkH0K2AwAAUCRW\n6gKkxJw7SxnP0WYrHxbB0/0yLkU1TJ3hYtmonnnY6JPH2M6OpjFX8BERPM0Md7kAAAAAgwrQ\nYEfZbK61b+lOnSCEqEPCeZ3ePmEKHxbebzmqadI0F8tGn/he6Ig408AaW86GRdgnTnGFRw5z\n2T5UXV2dkpIy9HIAAAAgHwE6Favd+g1/6ofrISiLWX34O8rhGHDhs+Mnt/TcA4UQEuKwxbaf\nVx/6jrLbRC9UTJiQBQAAUJhADHaU1cKWH+3babPS584OvLzL2eZwtGh1hLrQE+Kwx3W0MU2N\notY5DJDtAAAAlCQgg525m7hcA/TbrAO/wW4nLlebWtus1bv7DJw9ufwIzQ08yCcjyHYAAACK\nEYjBjjeEEGaASx9cOt3Ab1BrhEslOlSaM7ogvqdbb+pK2bWD4TiR6hw2yHYAAADKEJDBTq22\nT7qyb6fewEePHHh5mnYmXbjOoEulPqP/IdsFtTSnlGxhHXaxagUAAADwWCAGO2USPh4AACAA\nSURBVEKIPX8+NS3L3XSFhtunTOMHGsYTcGkZzoRk4W8Tq26IjHH1LKxvNaYUb2YuNo0rExi0\nAwAAUIAAvd0Jz7D0j2/qzMqmjC22zi5epycUNdgbaNqReQWXnkGZuni1xqoPchjPJe/aIZxj\np2tvSyveXJVbwGkvMpkrB7gBCgAAgNwF6IidgNcHOROSeH3QEKnOvbxK7QqP5IMMhKJMI2Kq\n8go4tVp4SdvZkb79G3W3Scx6RYdxOwAAAFkTfcSurKzso48+qq2t1ev1EydOXLZsWWRkJCGk\npqbm7bffPn36tE6nmzZt2t13363uCUlyYQ6PrM6Zn1q6jbHZCCFqc7cwbmczBEtdmvcwbgcA\nACBf4o7YVVVVPffcc9nZ2a+99toTTzzR2Nj417/+lRBitVp///vfx8fH//Wvf/3Nb35z4sSJ\nt99+W9RKRGIJj6zMLXTPwKrM3WlFm7Sd7dJWdZkwbgcAACBTok/FrlixYsmSJSNGjEhPTy8s\nLDx9+jQhZO/evRzH3X333bGxsenp6bfffvu2bdusVllef2ANDTs9Z6E9yCA0WasldccmfatR\n2qoAAAAgAIkb7FJTUxcsWCD83dzcvH379lmzZhFCKioq0tPTmZ4LSzMzM+12u3wHiuxBhsq8\nQrshRGiyDnvKzm368y3SVnU55PtdAAAABLLhuCr2+++/f/LJJ10uV2Fh4YoVKwghHR0dISEh\n7gWCg4Npmm5v/2EG87XXXtuzZ4/71VdeecXnVTEMExoaSgjR6/VDLjw0vb5x0XVxW77StLcS\nQhiHPXXn1jP5Cyxx8T5Y+eWhKIoQotVqL+ldzc3NY8aMEaciEdE0rVKpfPOd+jeapgkher3+\nUr9ZOaIoiqIolUoldSGiE/5rVavVYWFhUtcyHBiGCZA9pWma5/nA2Vnh5xUkMRzBLiMj45VX\nXmlqalq3bt3q1asfe+yx/svwPE/1ujS1qanpxIkTwt/h4eEsK0qdwmqFH8jLxwcZziz80cjN\nGzSt5wkhNMfFFW1qnrPAPCrRJ+u/TF7sZkVFRWZmphjFgK/QNO2rA9j/Bc6eUhQl0v/0/FDg\n7Cm+Vhgew/HRazSahISEhISEyMjIBx98sLa2NiwsrKGhwb1AV1dXn3/KPPPMM88884y7aTT6\n/pS1sLCwjo4OnudNJl/eo8ScMz+ldJvuvJEQQnFczLZv6mbkdEia7bRaLcuyZrPZNdATcgdX\nVlYmr4tkDQaD3W6325X/LBCtVmswGEwmk0xPTr0kGo2GZdnu7m6pCxEdwzDh4eE2m62rq0vq\nWkRH03RISEjvuRoFi4iI4Hm+ra1N6kKGQ3h4eHt7O8/zQy/6v6KiosSoJ9CI+y/gjz76qHc+\nE2ZSKIrKyMioqKjgep6yeuzYMa1WK68AcTGcSl2VU9A9IkZoUi5X4t6SsDoZn7KG8+0AAADk\nQtxgN2HChLKysk8//fTcuXPV1dVvvfVWQkJCfHx8VlaWRqNZs2bN2bNny8vL33777UWLFmk0\nGlGLGTZOlq3OntsVEyc0KZ5PLNsVUX1a2qoAAABA8SgvBksvyf79+z/44IO6ujq9Xp+Zmbl8\n+fLY2FhCSH19/VtvvXXq1CmDwTBz5sxly5YxF39Uq6hTsSKNSFFOZ9K+nSFN9T1tqmnSNGP6\nWDG2NbjLmYp1k8t4KqZiFQlTsYqEqVilwlSstEQPdj4hx2BHCKF4Pr5sd3hdlbunedzE5nGT\nRNrcxfgk2BGZZDsEO0VCsFMkBDulQrCTVqBcZSYJnqIaps9qS0l398QcPxJz9KCEJV0OnGwH\nAADg5xDsxMVTVP3UrPO9ZmBjyo/GHf6WyGGgtD9kOwAAAH+GYCc+imqcPL153ER3R1TFifgD\n+5DtAAAAwLcQ7IZJ87hJvc+ui6iuSCzbTSHbAQAAgO8g2A2f5nETG6dcRXoesBFWV5W0u4hy\nOqWtyjvIdgAAAH4IwW5YnU8b0zvbhZxpSN5bTCPbAQAAgC8g2A2386kZ9dNm8T3ZLvhMY3Lp\ndppzSFuVd5DtAAAA/AqCnQTaklLrZ+TwPU80N7ScTS3ewgbArdcAAABAVAh20miPT6qdmeei\nLzxsQ992PrlkC2O3SVuVFzBoBwAA4D8Q7CTTOTK+ZvYcF8sKTX17a1rxZtZqkbYqLyDbAQAA\n+AkEOymZYkZWZc9zqlRCU9vRnla0WWWW33OTkO0AAAD8AYKdxMxR0dW5BZxaLTQ1ps60ok3q\nbpO0VXkB2Q4AAEByCHbSM4dHVuct4DRaoak2d6cVbdR2dUpblReQ7QAAAKSFYOcXLKFhlfmF\nDp1OaKosltSiTbqONmmr8gKyHQAAgIQQ7PyFLTi0Mn+hPcggNFmbNaVos77VKG1VXkC2AwAA\nkAqCnR+xBxkq8xfYgkOEJuuwp+zcGmQ8J21VXkC2AwAAkASCnX9x6PSV+QusoeFCk3E4UnZu\nMzQ3SVuVF5DtAAAAhh+Cnd/hNNrKvAJzeKTQpJ1cyu6ikKZ6aavyArIdAADAMEOw80dOtaYq\nr8A0IkZoUk5n0p7isNoqaavyArIdAADAcEKw81MuVlUze64pOlZoUjyf8O3u8JpKaavyArId\nAADAsEGw818ulq2ePbcjLkFoUjyf8N2eqIoT0lblBWQ7AACA4YFg59d4hqnLym2PT+pp83FH\nvhtx8pikRXkD2Q4AAGAYINj5O56m62fktCWm9rT5kd8fiDl+WNKivIFsBwAAIDYEOxngKap+\n+ixj+lh3T8zxIyO/P0B4XsKqvIBsBwAAICoEO5mgqKZJ01pGZ7o7Rpw8NupQGbIdAAAAuCHY\nyQdFnZk0rTlzgrsjsvJkwnd7KGQ7AAAAIIQg2MlO8/jJZydMcTfDayoT9pdSLpeEJXkB2Q4A\nAEAMCHbyc27MFU2TryIUJTTD6muS9pZQTqe0VV2q6upqxDsAAADfQrCTJWP6mIYrs/iebBfS\nVJ+8ewft5KStygvIdgAAAD6EYCdXrcnp9dNnu7NdcPOZlJ3bGIdD2qq8gGwHAADgKwh2Mtae\nmFI3M49nGKEZZDyXsnMr67BLW5UXkO0AAAB8AsFO3jriEmpm5rt6sp2+1ZhStJm1WaWtygvI\ndgAAAJcPwU72umLjqrPnOllWaOo62tKKNqssFmmr8gKyHQAAwGVCsFOC7hGx1bkFTrVaaGq6\nOtKKNqrN3dJW5QVkOwAAgMuBYKcQ5oioqtxCp0YrNNXdpvTt32g726Wtygu4DQoAAIDXEOyU\nwxIWXplXyGl1QpO1WlJLtmo75JftCIbuAAAAvIJgpyjWkNDTcxfZgwxCk7VaUos2aY0t0lbl\nHWQ7AACAS4VgpzR2fVBlXqHNECw0WYd91LavNc1npK3KO8h2AAAAlwTBToEc+qDK/AXWkFCh\nyTjsI7d8GXQO2Q4AAEDhEOyUidPqquYsNEdECU2a45J3bgttqpe2Ku/gcgoAAAAPIdgpFqdS\nV2fPc2c7yulM3FsS2lArbVVeQ7YDAAAYEoKdkjnV6qrc+ZaYOKFJuVyJ+3aG1VVJW5XXkO0A\nAAAGh2CncC5W1Th3oXlUgtCkeD6xbHdEVYW0VXkN2Q4AAGAQCHbK52KY5nlXd8YnXmjzfPzB\nfVEVJyQtyns45Q4AAOBiEOwCAk/T9TPz2xJSetp83OFvY8qPSlrUZUG2AwAA6A/BLlDwFNVw\n1ezW5HR3T8zRg7FHD0pY0mVCtgMAAOgDwS6A8BTVcGWWMX2Muye6/GjcoTLC8xJWdTkwLQsA\nANAbgl2AoaimyVedG3OFuyPqdHn8gb3yzXYEQ3cAAAA9EOwC0dkJU5rHT3Y3I6pPJ5TtopDt\nAAAAZA7BLkA1Z05omngloSihGV5Xnbi3hHK5pK3qcmBaFgAAAMEucBkzxjVMneHOdqGNdcm7\nd9BOp7RVXaZTp05JXQIAAIBkEOwCWmvK6Lpps/iebBd8tim5dBvNOaSt6jJVVlZi6A4AAAIT\ngl2ga09KrZ2ZxzOM0DS0NKcWb2HsNmmrunzIdgAAEIAQ7IB0xiXUzMxz9WQ7fdv51JKtjM0q\nbVWXD2fdAQBAoEGwA0II6YodVTN7rotlhaauvTWteAtrtUhblU8g2wEAQOBAsIMLTNGxVXmF\nnFotNLWd7ek7Nqq7TdJW5RMYugMAgACBYAc/MIdH1uQWONUaoanuNqWVbFGbOqWtyleQ7QAA\nQPEQ7OB/mMMiKvMKOa1OaKq6TenFW7SdHdJW5SsYugMAAGVDsIO+rKFhlfmFDn2Q0GQt5rTi\nzbr2Nmmr8iHEOwAAUCoEOxiAzRBSmb/AHmQQmozNmlK8Wd9qlLYq30K2AwAA5aF4OTwh1Gbz\n/W3V1Gq13W4nAfCsApqmaZrmOO5S38iazfFbv1J3tgtNl0rVmL/AEjPS1wX6Ek3TPM9f0lGd\nkZEhXj3iYRiGZVmO45wyf1iIJ7w+hmWHoii1Wu10OgNkZ1UqlfD/YcVTq9WEkMDZWe/2VKPR\n+LyYACSPYNfe3u7zdQYHB5tMJp7nKysrfb5yv6JWq1mWtVqtrkt/FCxjtaSUbNW2twpNF8PW\nzc43xY7ydY0+I/woepF10tLSxKhHPGq1Wq/Xm83mQPipUKlULMtaLEq4/87gaJoOCQmx2+1m\ns1nqWkRHUZTBYOjq6pK6kOEQEhJCCOnsVMi1aINz/7xe6hvDwsLEqCfQsFIX4BEx/vHK8zzH\ncTzPexF3/IjLxTbUUW3nCeH5sAhnQjJPDzy97nK5vNhTl1pTlVuQXLpNmIelnVzSrh11M3I6\n4hIut3JxCMN1XuxpRUVFSkqKGCWJhGVZQojL5QqEoR2GYQJnT0nP/52krkV0wvh6IOypIKB2\nVvh5lbqKAIVz7GSMcrnUZXvY8qNM8xmm+Sx78rhqbynl8vHEHKdWV+fM746KvrBRpzNxT3FY\nnQJPUMNFFQAAIHcIdjLG1FTSHf9zsSpt6mQqK3y+IadKVZ0zzxQTJzQpnk8o2xVefdrnG/IH\niHcAACBfCHYyRhtbPOy8fC6GrZ6V3zkyXmhSPJ9wYG/k6XIxtuUPkO0AAECOEOxkjBroDIYB\nO32CZ5jaWfntSak9bX7UobKY40dE2pzkMHQHAACyg2AnY86w8P6droE6fYWnqPpps9qSf7iA\nNOb44Zhjh8XbouQQ7wAAQEYQ7GTMmTqa73n2l4BXa7nRY0TdKE9R9VfONI7OdPfEnDgy6uB+\nougLoBDvAABAFuRxuxMYEK9S2bOy2coKutVICHGFR3BpGbxKLfqGKapp0jQnq4o5cWEeNrLy\nJMW7GqbMIBQl+talI2Q7ed0VBQAAAgqCnbzxao0j8wpJNt08fhKhqJjjF+ZhI6oqKM7ZMH0W\nr+hsRxDvAADAj2EqFrzXPG7imQlT3aN04XVVSXuKqQB4whXB5CwAAPglBDsMvVyWljHjGydP\nd2e7kKb6pL0ltK9vkuy3EO8AAMCvINgRQkhKSgrindfOp42pvzLLPQMbcqYhedcOOmCenEMQ\n7wAAwG8g2P0gpYfUhchPW3J6/VXZ7sfUGprPpJZuYxzKfzh9b4h3AAAgOQS7ASDheaE9Ibk2\nK5dnGKGpN55LKdnK2gMr2xHEOwAAkBSC3WAQ7y5JZ1xCzaw5LubCpdb6tvMpxZtYm1XaqiSB\neAcAAJJAsBsaBvA81xUzsjpnrpO9kO10He1pRZtUFrO0VUkF8Q4AAIYZgt0lQLzzRHdUTHVu\nAddzn2RNV2da0SZ1t0naqiSEeAcAAMMGwe6SId4NyRwRVZ1fyGm0QlPdbUor2qTp6pS2Kmkh\n3gEAwDBAsPMS5mcHZwkNr8pfwOn0QlNlMacVbdJ1tEtbleSqe0hdCAAAKBOC3eVCvLsYa3DI\n6bxCuz5IaLI2a0rxJn3beWmr8hOIdwAAIAYEO9/AAN6A7Ibg03MXWUNChSZrt6cWbzG0NEtb\nlf9AvAMAAN9CsPMxxLs+OK2uKrfAGhomNGnOkbxru6H5jLRV+RXEOwAA8BUEO1Eg3vXGaXWV\neYXmsAihSXNc8q4dIWcapK3K3+D0OwAAuHwIdiJCvHNzqjXVeQXmyBFCk3Y5k3YXhdVVSVuV\nf0K8AwAAr7FSF6B87mwX4L/WTpW6Kmde8q4dwjl2FM8nlO2meNKWlCp1af7IfbTg3wYAAOA5\njNgNHwzguVhVdfa8zrgEoUnxfMK3u6NOl0tblZ/DAB4AAHgOwW64BXi84xmmNiu3Iz6pp83H\nHf52xKnjkhYlAzgDDwAAPIFgJ41Ajnc8TdfNyGlP7JmB5fmRR76LOXFE0qJkA/EOAAAGgXPs\npCRkuwD8neYpqm76LBfLRFRVCD0xxw5THHd2wlRpC5OL6upqlUql0WgSEhKkrgUAAPwIRuyk\nF6CjdxTVMGWGcXSmuyP65LFRh8oIz0tYlOycPn06AP9hAAAAF4MRO38RiKN3FNU0aZqLZaNP\nfC90RJ4up51cw9QsnqKkLU1ecAktAAAIMGLnXwJw9O7s+Mlnx092N8OrTyfsL6VcLglLki+c\ngQcAEOAwYuePAm307lzmBBfLxh35TpiHDauvoZ3O2hk5PMNIXZosYQAPACBgYcTOfwXU6J1x\ndGbD1BmkZwY2pKk+eXcR7eSkrUrucJMUAIBAg2Dn7/wi3vE8xTnE3khryui66bPdZ9cFNzel\nlG5nOGQ7H0C8AwAIEJiKlQepJmcpq5U9eZxpOUtcLl6n59IynHHx4m2uPTGFZ5jEfTuFc+yC\nWppTd26pzp7HqdTibTRwYIoWAEDxMGInJ8M8eke5XKoD+5nmJuJyEUIoi1l19BB9pkHUjXaM\nSqyZle/qObtOd96YUryZsVlF3WigwRQtAIBSIdjJz7DFO/pMI23q7NOpOlku9q3mumJH1WTP\nc7Eqoalrb0sr3sxazKJuNDAh4QEAKAyCnVwNQ7yjTF0DdNqtlPjnvZlGxFTlzHOqL8zAajs7\n0os3q7pNYm83YCHhAQAoA4KdvImb7diBTsGkaDIsdyExR46oyi1warRCU23qSi/erBkoa4IP\nId4BAMgagp3siTd054weydN9M5wzOpanh+mwsYRFVOYVcFqd0FSZu9OKNmk724dn6wAAALKD\nYKcQYsQ7PjiYGzOud4xzGUK4cRN8u5XBWUPCTs9ZaA8yCE3WakndsUnfahzOGgAAAOQCtztR\nFJ/fFcWZkOSKjGLONROHnQ8OccaMJMP+FFd7kKEytyBt51a1qYsQwjrsKaXbqmfPNUeOGOZK\nAAAA/BxG7BTIt0N3vD6IS07lRo91xsYNf6oTOIIMp/MKrcEhQpOx21N3bjO0NEtSDAAAgN9C\nsFMmv3hehU9xOn1l/gJLWLjQpDlHcum24LON0lYFAADgVxDslExh8c6p0VbnFVoio4Qm7XQm\n7y4KbayXtioAAAD/gWCnfBkZGVKX4DOcSl2VU9A9IkZoUi5X4t7i8HrcngMAAIAQBLsAkZmZ\nmZqaKnUVvuFk2ersuV0xcUKT4vmE/bsiqk9LWxUAAIA/QLALIIqZlnUxbM2s/M64hAttno8/\nsDfqdLmkRQEAAEgPwS6wKOasO55harNy2xOSe9p83KGy6PKjUtYEAAAgNQS7QKSQbEfT9Vdl\ntyanu3tijx4ccahMwpIAAACkhWAXoJQxdMdTVMOVWcbRme6eiGOHR363l/C8hFUBAABIBcEu\noCkg2xGKapo0rXncRHdHeMWJ+AP7kO0AACAAIdgFOmUM3TWPm9Q8bpK7GVFdkVi2m0K2AwCA\nAINgB4QoYuiuedzEMxOvdD/0LKyuKnHfTsrlkrYqAACA4YRgBxcoYOiuJWPc2emz3dkutKE2\neXcR7XRKWxUAAMCwQbCD/yH3bNcxemzjVdl8T7YLPtuYXLqd5jhpqwIAABgeCHbQl+yzXUp6\n7cw8nmGEpqHlbGrxZtZul7YqAACAYYBgBwOQ+7RsZ1xCbVaui76Q7fRt55NLtjB2m7RVAQAA\niA3BDi5K3tluZHzN7DkulhWa+vbWtOLNrNUibVUAAACiYodhG0ePHq2srFSpVBMmTEhISCCE\ncBz3ySef9F4mLi4uLy9vGIqBSyJku+rqaqkL8YYpZmRV9ryUXTsYh50Qou1oT9+xsSq3wB5k\nkLo0AAAAUYg7Ysfz/OrVq5955pnKyspvv/32/vvv37x5MyGks7Nz/fr1DQ0Nxh5dXV2iVgKX\nQ75Dd+ao6Orc+ZxaLTTV3abU4s1qEw42AABQJnFH7A4fPlxaWvr3v/9dGKh7//33P/zww8LC\nQiHGrVixIjg4WNQCwFdSUlJkOm5nDo+szluQUrKFtVkJIWpzd1rxpurcQmtwiNSlAQAA+Ji4\nI3YZGRmvvPKKkOoIIQkJCd3d3YQQk8lEUZTNZtu5c2dJSYnRaBS1DPAJ+Y7bWULDKvMXOHR6\noamyWFKLNuk62qStCgAAwOfEHbHT6/VJSUnC3y6Xa9u2bbNnzyaECCN2Dz/88JgxY4xG4yuv\nvPLAAw/k5OS431hSUuIeH9JqtYsXL/Z5bTRN63Q6PgCeOsUwDCFEq9W6LvsxDOPGjSOEVFRU\n+KAscTAMQ1EU1XMfOzdXRGTt/GuSdmxUmboIIazNmlq8pT6/0BI5QooyfUD4Wpmeu7r4lk6n\nE2O1XmNZVvgPVupCREfTNCGEYZhA2FmKogLkayWECP9fCpydDZCfV/9EDc9H73A4Xn311fr6\n+meffVav1zc1NX3//ffZ2dlBQUGEkPfee+/rr79+9913tVqtsPzvfve7jRs3Cn+Hh4dv2bJl\nGIoEz504cULqErzBdJviNm9QdbQLTZdafXbeImtMnLRV+aHMzEypSwAAAG8MR7Bra2t7/vnn\ng4KCHnnkkQH/vdLS0rJ8+fIXX3xx7NixQk9lZeX58+eFv1mWTUtL83lVBoOhu7s7EP5Jodfr\nVSpVV1fX5Y/Y9VZZWenDtfmKSqVyuVzOiz9GjLVZk3Zs0vbMw7oYtj57rilWftmOZVmVSuVw\nODgRnqshxn9xl0OlUjEMY7VapS5EdDRNBwcH2+12i0X5t+ahaVqv15tMJqkLGQ4hISE8zwfI\nZYLBwcEmk8mLn9fQ0FAx6gk0ot/uxGg0/uY3v8nKyrrzzjvdE2R2u91sNoeFhQlN4WdYpVK5\n35WWltb7p0WMk/B4nnc4HIEQ7IQ8x3HcIHHHC4mJiX54OQXLsoMHOyerqsorTN65Vd92nhBC\nO7nE0m21M3I64xKGsUwfEObsBt9ZrzkcDp+v83LQNE1RlL9VJQZhbl34v5PUtYiOpukA2VNC\nCM/zAbWzAfLz6p/EvXjC6XQ+/fTTOTk5d911V+/Tnj777LNVq1aZzWahuX379tDQUPc1FiAX\nMn1ABadWV+fON0dFC03K6UzaWxJWXyNpUQAAAD4g7ojd5s2ba2trU1NTX331VXfnbbfddu21\n1+7Zs+f++++fPHnyuXPnysvLH3roIXXPzcZAXuR4JxSnSl2VPS95T5Gh+QwhhHK5EvaXUk5n\nW7J/TUECAABcEnGD3ahRo2655ZY+nQzD6PX6v/zlL2VlZU1NTZmZmffdd9+IEXK9OBGIPLOd\ni2VrZs9J3FMScqaBEELxfMJ3e2gndz5tjNSlAQAAeEncYDdx4sSJEycO+BLDMFlZWaJuHYaT\nLLMdzdTOzEvYXxrWUEsIITw/6uB+1m5rzhz4oAUAAPBz4p5jBwFFjufb8TRdPyOnLTHV3RNz\n7HDM8SMSlgQAAOA1BDvwJVlmO4qqnz7LmD7W3RNz/PCoQ2UEl3QBAIDcINiBj8kx2xGKapo0\nrWX0D3fljTxdjmwHAACyg2AHvifL26BQ1JlJ03qfXRdZeTLhuz0Ush0AAMiHpxdPFBUV/fvf\n/25oaOh/8/e//e1vkydP9nVhIHtyvJyiefwkXsXGHjkgNMNrKimOq78qm6fxTyAAAJABj4Ld\npk2bFi5cyLJsTEyM+3GubjabTYTCQAnkmO3OZYx30Wzc4QvzsGENtbTLVTsjh2cYqUsbDhTH\n0edbVG0trsgRzsRk0uu+4gAA4P88Cnbvv//+okWL1q1bFx4eLnZBoDByzHbG9DEulhn13V5h\nHjakqT5ld1HNrDwXI/oj+KRFt51XHT5I2a3azlZCKOfIUZbrb+H1QVLXBQAAnvJogsloNC5d\nuhSpDrwjv/PtCGlNTq+fPpvvGa8yNDel7NzGKPo5j5TDoTp8gLIL51pQhBDmTKP2my+krQoA\nAC6JR8EuLS2tpaVF7FJAweSY7doTU+pm5rlnYIOM51J2bmXtdmmrEg/V0kzZ+55WwVZVUKYu\nSeoBAAAveBTs7r///jfeeKOqqkrsakDB5JjtOuISamblu2dg9a3GlOLNrK3v9UPKQF8ks9Jm\n8zBXAgAAXvPonKHdu3cnJSVlZmbOnj07Pj6e/t8rBB977LGxY8de7L0AbnI8364rJq46e27y\nru0MxxFCdB1taUWbq3ILHDqd1KX5mEuvH6CXYVyhocNeCwAAeMmjYLd27dqdO3dSFFVSUtL/\n1TvvvBPBDjwkx2zXPSKmOrcgeec21mEnhGi6OtKKNlblFdqVdVWBKyraFRJKd3b07rRPvYrX\n9L0QHgAA/JZHU7Hbt293Op3cReTl5YldJSiJHOdkzRFR1XkFzp6Io+42pRVt0pg6pa3Kx2ja\nMXmaM2rEhSbD2Kdl2XLmSloTAABcGo9G7Nxzr3a7vbGx0eFwREVFRUREiFkYKJkcx+0sYRGV\neYWpJVtYq4UQojJ3pxVtrsqZZw1VztXivFbnmDqDczjM4WGu8HCeVUldEQAAXBpP76d//Pjx\na665xmAwpKamjhkzJjIycuzYsf/6179ELQ4UTI7jdtaQ0NP5hY4gg9BkrZa04i369lZpq/I5\nXqVyjohGqgOAgMVxHEVRK1askLoQb3g0YldfX5+dnW2326+55pq0tDSWZY1G486dO5cvX97e\n3v7ggw+KXSUokhzH7eyGkNN5haklWzSmLkIIY7elFG+pnj3HHBUtdWkAFZ/VsgAAIABJREFU\nAACeBbvXX389ODh4165d8fHx7k6e5x999NHf//73K1euVKvVolUISibHbOfQB1XmL0gt2art\nbCeEMA57aum2mtlzTCNipS4NAAACnUdTsYcPH77xxht7pzpCCEVRjzzySFdX17Fjx8SpDQKC\nHOdkOa2uas4Cc0SU0KQ5LqV0e2hTvbRVAQBAfzzPr1mzZsKECTqdLi0t7aGHHurs7Ozs7AwK\nCrr22mt7L2k2mw0Gw5IlS6Qq1Sc8CnYcx+kGumtXcHAwRVE2W9+71QNcEllmO5W6OnueO9tR\nTmfi3pLQhlppqwIAgD6efPLJlStX5ubmvv/++z//+c/feOONJUuWBAcH/+QnP9m4cWNzc7N7\nyS+//LK7u3vp0qUSVnv5PH2k2Jdffmnvd2P6r7/+mhCSnp7u+7ogwMgx2znV6qrc+d09M7CU\ny5W4b2dYLR7QAgDgL9ra2l588cXbb799zZo1N9xww6OPPvrkk0/u27fv4MGDd911F8dx69at\ncy/88ccfR0ZGXnPNNRIWfPk8CnZ33nnnkSNH8vLy/vnPfxYVFe3atevzzz9/4IEHbr311htu\nuCEqKkrsKiEQyDHbuVhVVfbczrgEoUnxfOK3u6NOn5S2KgAAEOzYscNut/eecn3kkUe6u7un\nTp2al5eXlpb27rvvCv3d3d1ff/31T3/6U7lfNuDRxRPTpk177733fvGLX9xzzz29+xcvXvzW\nW2+JUxgEIjleS8EzTG1WbuK+ktDGekII4fm4w2XE5TRmjJO6NACAQNfU1EQIiY4e4MYFFEUt\nW7bsiSeeOHDgwNSpU7/44guLxXLHHXcMe40+5lGwI4Tcdttt11133fbt2ysrK+12+4gRI2bN\nmoUniYHPyTLb0XRdVl78/l3h9dWEEMLzcUe+Y1yu5rFXSF0aAEBAE56w4HK5Bnx12bJlTz31\n1Nq1a6dOnfrxxx9nZmZOnz59eAv0PU+DHSHEYDD86Ec/Eq8UAIEssx1F1V81m2eZiOrTQk/M\n0YMU5zh7xRRpCwMACGQJCQmEkPr6H+5aYLPZzpw5ExkZGRwcHB8fX1BQ8NFHHz3xxBPffPPN\nH/7wB+kq9ZnBgt1LL7106tSpIVfx4IMPZmRk+K4kAFlmO0JRDVOzXAwbdbpc6IguP0pzXNOk\naYSipC0NACAwzZgxg2XZ9evXu+dY//Wvf/3iF78oKioSnnR/11133XzzzQ888IDD4fjZz34m\nabG+MViw++KLL4qLi4dcxS233IJgBz4n02zXNHm6i2GjTx4VOqJOl9NOrmFqFrIdAMDwi46O\nfuihh1544YXbb799yZIlFRUVzz///Jw5c3JycoQFlixZEhkZ+cEHHxQUFIwaNUraan1isGC3\nbds2nueHXAXDML6rB+AHssx2hJydMIVn2Zhjh4RmRPVpinM2XDWbR7YDABh2zz//fHR09Jtv\nvvnJJ5+MHDly2bJlTz/9tHDuHSFErVbfeuutr776qtxvX+c2WLBDYgPJyTTbNWdOcDJM3PcH\nCM8TQsLrq2kXVzcjl6c9usEQAAD4CkVRDz744CDPtVepVBEREddff727h2VZTwa2/BPOsQMQ\nhTFjnItl4w/uF7JdaGN98u6i2pl5Lvx7CQDAb9TX17/55psrV64c8AlbcoRz7MDfyXTQjhDS\nmprhYtiEb3dTPE8ICT7bmFy6rWb2HBerkro0AIBAd+TIke+///7pp58ODQ19/PHHpS7HZwab\nGNq2bZvDA8J1JQDikeNDKQTtSal1M3LcM7CGlubUnduYfk/nAwCAYfbnP/956dKlkZGRRUVF\nISEhUpfjM4MFO4Zh2KGMGjWqpqZmuKqFwCXfbNcRn1QzK989A6s/35JasoWxWaWtCgAgwL33\n3nscx+3evVthj7z39AbFFovlv//9b0VFhb1nsIHn+RMnTpw7d+78+fPy/dEFGZHvnGxX7Kia\n2XOTd++gOY4QomtvTSveUpU7n9Mq5JQOAADwEx4Fu87OzhkzZpSXl/fppyjq6quvnjRpkgiF\nAQxAvtnOFB1blVeYvHMra7cTQrSd7ek7NlblFtiDDFKXBgAAyuHRzRfWrFlTV1f3zjvvnDhx\nYvbs2X/4wx8OHjz4+OOPL168eN26dSoVzgSH4SPf4WFzeGRNboFTrRGa6m5TWskWtalT2qoA\nAEBJPAp2Bw8evP3225ctWzZ27FitVhsRETF58uTnnnsuOzt72bJlIlcI0JeMs11YRGVeoXsG\nVtVtSi/eou3skLYqAABQDI+CXXt7e3R0tPC3Wq3u7u4W/l65cuWXX3555swZsaoDuAj5Zjtr\naFhlfqFDHyQ0WYs5tWijvu28tFUBAIAyeBTsRo0aVVJSItyFOTY29uDBg0K/Wq2mabq+vl7E\nAgEUx2YIqcxf4D67jrXbk0u26luN0lYFAAAK4NHFE3fcccfcuXOnTJny3XffzZ8///bbb58y\nZUp2dvb69esdDkdCQoLYVQL0J98LKQghdn1QZf7C1JItmq4OQgjrsKeUbKmZPbd7RIzUpQEA\nKEdZWZkYq50+fboYq/UJj0bs5syZ8+qrr1osFoZhfvKTn+Tl5T322GPZ2dlr1qz5v//7v5Ej\nR4pdJcCA5DshSwhx6HSV+YWW0HChyXBcaum2kCaMfwMAgPc8fST5ypUrT548SQjRaDTffPPN\nRx999PLLL2/fvv31118XszyAIcg623EabVVeoTkiSmhSTmfS3pLQhlppqwIAAPny9AbFvWk0\nmptuusnnpQB4R9Zzsk61uiq3IHnXDkPLWUII5XIl7tvZ4HS2JaVKXRoAAMjP0MGO47izZ8/G\nx8cLzV/96lctLS3C30uXLi0oKBCxOgDPyDrbuVi2JntO8u5iQ3MTIYTi+fhvd1O8qzVZUU+5\nAQCAYTBEsKutrb366qunTZu2du1aoeezzz47c+aMTqez2+1fffXVyZMn3XdCAZA1o9EYFRUl\nyaZdDFs9Kz9p307hHDuK5+O/20tzTmP6GEnqAQAAmRrsHDuO4xYuXFhRUTFhwoTe/ffee297\ne3tlZSXHcatXrxa5QgCP+ORkO6NRsnuO8AxTm5XbnpDc0+bjDu2PPnlMqnoAAECOBgt2n3/+\neXl5+auvvvrrX/+6/6sjR4687bbbPv74Y9FqA7g0ss92NF1/VXZbcpq7J/b7AzHHDktVDwAA\nyM5gwe7rr7+OiYlZvnz5xRYoKCioq6trbGwUoTD4/+zdd3xUZb4/8OeUmTM909IL6QlVkN5B\nig0RXClKEZdcd9Xd33pt67XvXt3r1V3bta2uCHYERHFFVFroCEhTSAFSSM/0Xk75/TE4GSch\nTKaX7/vFHzPPmTnnmZDMfOapIBjl5eWhnySW2Q7DLo6eqC3p6YHNPHsq++RRxHGxqhIAAIBo\nunDhwtNPP03TdHBP7y/YtbS0DBs2jCR/NQ5v1qxZQ4cO9dwuLCxECMGWYiCulJSUXPlBVxLD\nbIcwrHXUuM7BI7wF6fVn844fhmwHAACJZf/+/U8//bTD4RjQsy5cuPCXv/wl6GDX3+QJHMd5\nPJ5f4bvvvuu9zbJscFcFKY7obOcfO4zpdawszT3iamZQmNeiC8sk2RjOpUAIdQ69CmFY5plL\n/bDKC/UYzbSMncRhWLgugbEs0dyIabsxjmPT5ExhCdfr7x0AAJIe5nZjRj3mdrOyNO6XzR5D\nZzKZli5d2tLSct999wkEgnCd9or6C3Y5OTl79+7t5wEnTpxACMGWYmBAeHVnBV9u8Nwm2lp4\nNT87r7nWNXp8bGvVJ0+7XaziXeeQESxBZP903NNWp2i+QNDupvFTOYIIw9lZln/kIGbUe+7h\nOg3R0eacMAXx+GE4OQAAJAi8s4N/5hRyuzx3mZx899ARKBxfoR966KHS0tKWlhZvCcdx33zz\nzalTp3JzcxcuXMgwzEsvvbRq1SpP/ydC6Pjx4998802I+5X11xU7ffr0+vr66urqPo+6XK5X\nXnllxIgRmZmwuyUIFEbT1Lf/9ivkV2/HTMbwXiiMO1LEsFu2u2Joy6hx3rcYWdvFwkPVOMOE\nfmayucGb6jwwu41XVxP6mQEAIN7w7HZ5S1Mf/87XKn88JLVZpG6X55+86bzy2KE+HyzWdAV+\nxd27d3/55ZfPPvusb+GiRYv++Mc/tre3r1mzZsiQIVarddOmTb47eP3jH/84evQoFlqs7K/F\nbvHixY8++uhtt9325Zdf+uVHrVa7atWqn3/++aOPPgrl8iDV4F0dmMPuV4gxDNHSTA8Z3udT\nghbGVYtj2C2rKy7ncCLv2EGM4xBC0vbWwv07GyfNRKF1m2K6PtIq3lchAAAkOpFOU3BoT6CP\nbjyHGs/1LjZn5jRMnRXICex2e1VV1SuvvKJUKr2F33777ZYtW5qbm7OysliWnTNnzqZNm1av\nXv3CCy88++yzBEE4HI4tW7aEHqv6C3YCgeDTTz+99tprx48ff80110yePDk9Pd1ms508eXLL\nli0Wi+X3v//97bffHmINQGq53AyAyMwMSI5spy8s4Ugy/4d9GMsihCRdHcX7drTMmIsoKuhz\nhm2kHgAAgF974oknhgwZsmTJkpqanm6QXbt2jRw5MisrCyGE4/iOHTsQQlqt9pFHHvnuu++u\nv/76rVu3ikSi66+/fvfu3aFc/Qo7T0yZMuXo0aMPP/zw1q1bPZXwqKioeOyxx1asWBHKtUEK\nYjMyOT4fc7n8y/MKInTF5Mh2hrxBLI4POrwXYxiEkEjTlb9zW+e1NwWd0Fi5Ctd0+xcqVKFW\nFAAAUtuRI0fWrFlz6tQpv3KdTieTyfwKVSrVggUL3nvvveuvv379+vXLly/3W4okCFd+/uDB\ng7/66iuTyXTy5EmdTicUCsvLy70D/QAYEI7Hd8y6XvjNl76Frikz2DR5rKo0IDHMdqac/MZJ\nMwcd2I0zNEJIqNPkbNvSOGOumwjmXYApLMY72nCLyVvC8Sm6rDJs1QUAgLhhSc88N/vGPg64\nnLxTxzHa7VtGF5awWTm9H8uQAQ2Auffee8eMGfPFF18ghDo7OxFC77zzzsyZM9PT048cOdL7\n8VVVVfPnz29vb//3v/99+PDhQC7Rv0A/EmQy2dSpU0O/HgD0sKtssjT+scO4XstK09xXXU2X\nD47oFcPYaIdimu3MmdkNU68p3L+LcLsRQny9tnDH1vNTZ7uFooGeisNx97hJRON5QqvhWJZT\nKOmiUi6Evl0AAIhbDJ9v4yv7PISPEfB+PolZLQghDieYohK6uCyUWbFTp041Go2eZUOMRiNC\n6PTp00OGDJk5c+Zzzz137ty50tJSjuMmT548efLkF154YdasWVlZWatXrx46dOiwYcOCvq5X\nqC1+AASBKSi0FxRG84pJk+2s6syGqbML9+4g3S6EEN9kLNn97YVpc1wDX3uJI0m6tIIurbjy\nQwEAIEmxcoVz0nTMasFompNIuMCa5frxj3/8w3u7pqZm48aNr776qlwuRwgtXrx4+vTp8+fP\nr6mpaWlpuf/++xFCGIb99re/feKJJ954440QL+3R33InACSTMC6AgmK6BopNqW6YMZcRCD13\n+VZLye5vKbOp/2cBAADoG4ZxEikrV4Se6vyo1eqnnnrKuzrxJ5988tZbbw0aNOjOO+/86aef\nsrOzPeVTpkwRiUS33Xab525xcfFTTz0V9GA7jEuEfYoi8SEql8uNRmNCvPwQSaVSiqL0ej0T\njvXP4pxEInG5XK5ekzO8+mm3C+LXLIZbU0jstkG7txFWq+cuTQkaps2xh2moYnhDcOgoiiJJ\n0vrLi01iBEEoFAqn02k2m2Ndl4jDcVwmkxkMhlhXJBqUSiXHcXq9/soPTXwKhcJgMATx8RqJ\nd9Q+h7WFLsQ1hP3Mnz8/Pz//9ddfD8vZEqMrNhJ7ceA4LhAIUiHYEQSBEKIoKhW2gCMIgs/n\n4/hlm6J775Ln+9yBXk6v12dkZAz0WWFBC5St1y3I3vYlz2pBCJFOR/Ge7y7OuNauDMM7YzR3\nvwkESZIEQcRbrSLB86ubIi8WwzDP+3CsKxINniVnU+fFpsjHa+jefvvtDRs21NfXr127Nlzn\nDKjF7t133xWLxUuXLg3XVQcqEt/UhUKhw+FIhd88T2uH3W5PhWDH5/MZhum/bbK+vr7P8q6u\nAawq7ism2Y4gCJIkkdGQt30r33xp3w6Gx7s4fa49PdTNYMrKykKuYDiRJInjeD8NsUkDx3Gh\nUEjTtNPpjHVdIs7z8W+3+69YnpREIhFCyGazxboi0RD0x6tYLA57ZRKixS68Amqx27Jli1Qq\njWGwi8RfPkVRdrs9FYIdSZIkSTocjlToiiUIov+uWIRQXl5enx2yQf982tvbUSy6ZUmSdAqE\n56bPKd67XWA0IIQIt7tg97eNE2dYMrNDOXO8fdZ6v5zEuiIRRxCEUChkGCYVXiyO43w+PxVe\nKUJIKBRyHJciL9aT1+Mk2KWggCZP/P73v9+5c2eEYi8A0ReJMWSxmk5BC4Tnp8+1yS/N5Mdp\nunD/Lll7S//PAgAAkJQCarHr6OiYOXPm1KlThw0bVlxc7GlS9nrkkUcqK2FdUwBitgwKw6ca\nps8p2r9LpOlCCOEsM+jA7otjJxkKiqNfGQAAADEUULBbt27dnj17cBw/ceKEZ809X3feeScE\nO5BwwruynVfMsh2Pf2HKrML9uyTdHQghjOPyjxzAOKQfBNkOAABSSEBdsTt27GBZlr6M6dOn\nR7qWAERChBb1iFWfLEuSDVOuMebke+5iHJd/9ID6XE3/zwIAAJBMAgp2vstA2Gy2VFhgCaSI\nJMt2HEE0T5hmzBv0y30u5+TR9LozMakMAACA6At054mLFy/ecccdarVaLBZ71tA7ceLEQw89\nRNN0JKsHQKKKWbbD8ebxU3tG13Fc9qljmWdOxaQyAAAAoiygYKfVaidOnLhx48apU6dmZWV5\nCltaWl555ZUHH3wwktUDIOIit8tCzLIdhjWPnaTx2QQ288zJ7NM/xqQyAAAAoimgYPf666+7\nXK4zZ85s3rx50KBLvTzz5s17+eWX33rrLZMJNqkEiS2i2S428Q7D2q4aqykb7C1Ir/0598QR\nlAILNwIAQCoLKNgdPXp0+fLl3kjntXz5cqfTWVMDo7NBwovo7qixy3ZjOiuHeQtU52ryfzyE\nQbYDAIDkFegYO6lU2ruwn203AQC+YtUt2zlsVMewUd67ioZz+T/sw1JgczkAAEhNAQW7ioqK\nzz//3O12+5W/9dZbBEHE27aSAAQn0uvPxSrbdVUOa7tqDMIwz135xcZBh/ZgKbC/HAAApKCA\ngt3KlSvr6uqmTJnyySefmM3mhoaGDRs2rFix4sEHH1y2bJlCoYh0LQGIjmTNdpqywS1Xj/dm\nO1nbxcIDu3EGprQDAECyCWjnieHDh2/YsKGqqur2229HCJ05c+btt9/GMGzJkiVvvvlmhGsI\nQFSp1eqIxq9YbU2hKypjCTL/yH7PGDtpZ1vRvp2Nk69hyIDeBAAAACSEQN/T58+f39TUVF1d\nXV9f73a7MzIyJk+eHNHx5gAkK09wjH68MxQUcQRRcHivZ4yduLuzeO/3DVNm0Tx+lGsCAADg\nco4dO/bAAw989913fH4wb84D+LIuFApnz549fPhwh8ORkZHR53QKAJJApBvtPGLSdGfMLWic\nNGPQwWqcYRBCQq2mqPq7C1NnM5QgyjUBAIAktnnz5o8//thms02YMOHBBx8UCoWBP1ev11dX\nV7PBznILdFbs999/P3fuXIqi8vLySktLZTJZdnb2n//8Z7vdHtyFAYhn0YlcMRlyZ87KbZwy\niyUvTWkXGvQl1d+Rdlv0awIAAPGgxdX1venIFsP+H611LBeGRQNefPHFu+66a8KECTfffPPm\nzZs9w9iiJqAWu71791533XUKhWLRokXZ2dk8Hk+n0+3bt+/555+vqan58ssvI11LAKIvidvt\nLOmZF6bOKtq/k3C5EEICk7G0+rvzU2e7xZIo1wQAAGLre9ORbcYfvHd3mX+8J2OhEKeCPqHJ\nZHriiSe2bds2depUhNCSJUssFovnUHd39wsvvHDq1Knc3Ny77767rKxs4cKFzz777MSJEz0P\n2Lx58/vvv3/PPfeE8IICC3bvvPPO5MmTt23bJhKJfMufffbZxx9/vLGxsbCwMJRKAJDKYpLt\nbKr0C9PmFO/dQTgdCCG+xVxa/d2FaXOcEhhiAQBINheY9q2uI73LjYz1mKMW+aS4BtR9wfj2\nYIH/jgwIoQI8Yz414YrX2rVrl0wmEwqFK1euNJlMM2fO/MMf/oAQstlsU6ZMGTJkyO9+97sT\nJ05MmTJl3759BEH885//9Aa7t956q6SkBPtlBYPgBBTsOjo6Vq9e7ZfqEEIPP/zwE0880dHR\nAcEOJKXoNNqhGE2nsMuV56fPKd6znXTYEUI8m7Vk97cXps12yOTRrAYAAERaM9v9vnN738d6\nzU9oQbojzvreD5xAVgYS7M6dO0fT9H333fenP/3JarU+8cQTp06devfddzdu3NjV1XX69Gk+\nn79w4UKCIJqamqqqqlavXv3aa69JJBKNRrNz585nnnnGaDQO+BX6CGiMXV5eXp9j6bRaLYZh\nMDcWJLFohq3oD7lzyOTnZ1zrFok9d0mHvaT6O6FeG+VqAABA0nA4HBqNZsOGDYsWLVq1atXb\nb7/93nvvdXd3Hz9+fMiQId6Jrk8++eRvfvObhQsXCgSCDRs2IIQ2btxYUVExduzYECsQULC7\n55573njjjaamJt9Ct9v91FNPVVVVZWZmhlgJAIKDMQxmMkZ6Y/vkznZOifTcjGu9PbCE01m8\nZzvR1hLlagAAQHLIzMz0TDD13B0zZgzHcefOnXM4HBTlP3SPz+evWLFi7dq1CKH169evWrUq\n9AoE1BV74sSJtLS00tLSiRMnFhcX83g8jUZz4MABhNDChQt///vfex95//33l5eXh14tAPqH\n2azUjm28urOIZTk+3z1usnP8ZIQHOss7nkW/W9YtEp+fPrd473aByYgQItwu4Wcf2m+9nckr\niFodAAAgcmbwRvwgf7V3uZujX+r4rJPW+xb+R/pNlYLg3/0qKipMJlNnZ6en2au7uxshlJGR\nkZubu317T3dwXV0dx3EVFRVVVVUjRow4fPjwgQMHPvnkk6Cv64VxAbR2zJgxo7q6OpDT7dq1\na8aMGaFWqpdINGPI5XKj0RjIy090UqmUoii9Xs8kzfagLCv6dB3RetG3zDlpumvydIlE4nK5\nXC5XEGdtaGjo52j029L6z3Y8Ho+iKKfT2XsT5+CQLlfh3u0ivRYhxMnSbLetYmVpYTlz6CiK\nIknSarXGuiIRRxCEQqFwOp1msznWdYk4HMdlMpnBYIh1RaJBqVRyHKfX66/80MSnUCgMBkMQ\nH6+R+EJ75EgfcyZ8GWjzV8YDZ+yNbo7J4imuT5swVHjlAWb9dJhyHDd06NDx48evWbOG47hV\nq1adOHHixIkTdXV1Q4YM2bJly7x58wwGw6hRo+6+++6HH34YITRx4kSdTldRUbFlyxaE0Pbt\n2+fMmWO32wWCYFYYDajFbuvWrTiOkwFsPUQQRBCVAGBAyIZzfqkOIcQ/vM89dmLkLhrgRArM\nbsfsNoRhnFjCBbVouFeUZ8vSfH7D1NlF+3fyLWbnomWsLE1DG3eajuloc4Ugf4ZsFIZCmqgF\nAABxSE5KV6iu5TiORgwPC8MWixiGrV279pZbbsnKysIwTCwWb9q0CcfxysrK119//dZbby0q\nKmpvb58xY8Z9993neUpVVVVVVdVzzz0X+tVRgMGu93xYAGII1/YRsDCGwY16pFRG7rpXzHZE\n60XceKn5gcMwLiOTUaWHcsUod8syfH7D1Nmkw56jVH9tOPj/ml8xMZcaycaKKz8ufkpOwkJ3\nAIAkhGEYbyB7cfVv3LhxjY2NJ0+eRAhdddVV3naxu+++e8mSJXV1dTk5OQUFPb29arU6Ozt7\n3rx5nrujR4/etWtXcPuJocB3ngAgfnCX2ZuFFQxgz5awIzTd3lSHEMI4Du/swKyW0M8czV5g\nhiSdEmmLq/sPzS95Ux1C6Ii15qGWN6JWDQAASGgkSY4ePXr06NF+vZ1KpXLChAm+qc5oND7+\n+OP3338/j3dpQyCFQjFjxgw82FHjEOxA4qFLyrleGY4pKOSkskhfup/GM8zYx+gZvK/CIER5\nhN+/DQcsjP8KR18Z9vcuBAAAELS77767pKSksLDQ2y0bOgh2IPFwIrHjxgWcz6hSVqW2X39z\ndK5+uWyH0XQfpX0WBkWj0UQt3mnpPpbHZDhWzyT/iH4AAIiaN998U6PRfPXVV4FMYwhQ2E4E\nQDTRxWXWqj+Q52pxi5lVpbtLylGsJ+5wFIXZbP6l/OA3HOxTdGZUlFC5vQulhCiLF8EhjAAA\nAEI3gBY7lmW9tzUazeHDh1NhQj6IW5xQ5B4+yjlxmrt8cJRTXZ/RilH7r9TNEQSrCn8Ii0LT\n3QLl1Eqh/1aJ92cuCcuUMQAAAJETaLB75JFHli1b5rn94Ycf5uXlTZgwoaio6ODBgxGrGwDx\nq3e24yQSJjef+6U5naMETEEhxwtpxZN+dHV1RejMCCEBxv+o+ImZ0lGeuyJc8GjOinsyFkTu\nigAAAMIioO/fmzZtev7551944QWEkNFovPfee0eMGHH33XevXbv27rvvPnHiRIQrCUA86r36\nCZsmZ9PkmNuFMJwL34CJy2lvb6dpWqFQROLkBfzMz0r/amSsGtowiJ9FYrBEJQAAJICAPnu2\nbNmycOHCBx54wHPbZDKtXbt2yJAhEyZMGDJkSFtbW05OToTrCUDCiFwrXZ8iOuoujRCnEeII\nnRwAAEDYBdQV29HRMWzYMM/tnTt3lpeXDxkyBCFUUlKCELp40X8PAAAS0bO2Tz5y7rRxzsCf\nEs2dIfoRzQmzAAAA4llALXZyuVyr1SKEGIbZunXrokWLPOVGoxHqbdhMAAAgAElEQVQhJBbD\nF3qQwBpdHf/XuemYtfZnVwNCaI3j28XU9MX8aQo8oF0WAtxqrDcH66pxNOtpE4kR2Tx1iSAn\nxD27orwFGQAAgDgUULAbM2bM888/P3v27Orq6q6urqVLl3rKP/zwQ5FIVFxcHMkaAhBBp+0X\nbqh9yMG5vCVmzv6uY9tHzp038ycuo67JwiMygs3KOnaYjrq4S6vcddL6Drd2inREiKeN8hZk\nAAAA4k1AXbFVVVUZGRkLFy58+eWXly9fPmXKFITQRx999MADD9x1112wkyxIXPc1v+pNdQTX\n8+fg4FzrndW3mP76V9tHjWxn/ycJIkgdt9V7U51HB61rdHUM9Dx9gp5ZAABIWQG12CkUiiNH\njuzfvx8hNGvWLE9hRUXFq6++evfdd0ewdgBEkomxnrKd994dZy1p5xla+To3xnhKaMT823V4\nq/vIVHLoKmruUNJ/aTevgXbIdrv72Gqs260v5GcFfpL+Qc8sAACkoEBXZBCJRHPmzEEI2Ww2\nhmGkUumYMWPGjBkTyboBEFncr++SHJ7vUua6FTKJ7AR+oZ3VecpZjq12n652nx5Dlq8SzBlH\nVkS/qsGBnlkAAEg1gS5QfPHixTvuuEOtVovF4tdffx0hdOLEiYceeogO31aYAERZGiEeKizy\nK8Q57DbBjE2yJ54WLS8msn0PHaXr/mB5/Q7z33e6T7Ac6/fEAeWndFLeRyEvIuP5oGcWAABS\nR0DBTqvVTpw4cePGjVOnTs3KutRV1NLS8sorrzz44IORrB4AkfVSwR8pjOdbcrWorFJQQCLi\nBv64T6SP/F38H8OJQt8HnGWaH7GuWWL52xbnIfevx8kFnu1GisvIX7eXZ5CKMPbD9gbxDgAA\nUkFAwe711193uVxnzpzZvHnzoEGXhhnNmzfv5Zdffuutt0wmUyRrCEAEjRKV7a78v6WqWcOE\nReWC/EWKGbcp53iPYgibxhv+rvT+NyV/nEBW+j6xiel6xv7xQvNfP3HutvssfRdgtpPgwmvT\nxhRTOXJCmk7KRwhLpkiHh+tF9QPiHQAAJLeAxtgdPXp0+fLl3kjntXz58nvvvbempmbcuHER\nqBsA0VAqyP2/gvsQQg0NDZd7zGiybLSkrIa+uM75/S76lLcftos1vGT/fI3j28XUtMXUtDR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Dhx48eNC3cPDgwSKR6Iknnvjqq68OHz4s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\nhRCSJJos8SZLfFPj+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} + ], + "source": [ + "# Separate regressions of mpg on weight for each number of cylinders\n", + "qplot(wt, mpg, data=mtcars, geom=c(\"point\", \"smooth\"), \n", + " method=\"lm\", formula=y~x, color=cyl, \n", + " main=\"Regression of MPG on Weight\", \n", + " xlab=\"Weight\", ylab=\"Miles per Gallon\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "application/pdf": 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hbnXVyQmr3moe7r3si726t8f3oD8a2PPCxr+3J35tKddrCywJCIgWF/2rE0Wm9p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\n3yLm6VsQpLUAAatVX6nv0O/R83q9V9+o79eP6S/rZ/XqSqRd0XP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7t165ZGo2nUqNEzb65csWLFBx988OWX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"code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "library(leaflet)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "4.3.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/validation/workspace/req.R b/validation/workspace/req.R new file mode 100644 index 0000000..27ee7c7 --- /dev/null +++ b/validation/workspace/req.R @@ -0,0 +1,60 @@ +install.packages("nloptr") +install.packages("testthat") +install.packages("lazyeval") +install.packages("knitr") +install.packages("gridExtra") +install.packages("grid") +install.packages("gtable") +install.packages("ggplot2") +install.packages("lattice") +install.packages("lme4") +install.packages(""knitr"") +install.packages(""lme4"") +install.packages(""ggplot2"") +install.packages(""grid"") +install.packages(""lattice"") +install.packages(""minqa"") +install.packages(""gamm4"") +install.packages(""splines"") +install.packages("pkg,character.only=TRUE") +install.packages("so_name, lp") +install.packages(""nlme"") +install.packages(""testthat"") +install.packages(""parallel"") +install.packages("nlme") +install.packages("parallel") +install.packages("splines") +install.packages("merDeriv") +install.packages("rio") +install.packages("haven") +install.packages(""rio"") +install.packages(""magrittr"") +install.packages("psych") +install.packages("psychTools") +install.packages("sp") +install.packages("raster") +install.packages("maps") +install.packages("sf") +install.packages("ggmap") +install.packages("RgoogleMaps") +install.packages("cshapes") +install.packages("gstat, pos = match(paste("package", "sp", sep=":"") +install.packages("RColorBrewer") +install.packages("effects") +install.packages("car") +install.packages("Matrix") +install.packages("RcppEigen") +install.packages("SparseM") +install.packages("scales") +install.packages("viridis") +install.packages("colorspace") +install.packages("dichromat") +install.packages("terra") +install.packages("httr") +install.packages("mapproj") +install.packages("markdown") +install.packages("leaflet") +install.packages("ShinyDash") +install.packages("quantreg") +install.packages("pwr") +install.packages("maptools") diff --git a/validation/workspace/req.txt b/validation/workspace/req.txt new file mode 100644 index 0000000..ea16f9f --- /dev/null +++ b/validation/workspace/req.txt @@ -0,0 +1,60 @@ +nloptr +testthat +lazyeval +knitr +gridExtra +grid +gtable +ggplot2 +lattice +lme4 +"knitr" +"lme4" +"ggplot2" +"grid" +"lattice" +"minqa" +"gamm4" +"splines" +pkg,character.only=TRUE +so_name, lp +"nlme" +"testthat" +"parallel" +nlme +parallel +splines +merDeriv +rio +haven +"rio" +"magrittr" +psych +psychTools +sp +raster +maps +sf +ggmap +RgoogleMaps +cshapes +gstat, pos = match(paste("package", "sp", sep=":" +RColorBrewer +effects +car +Matrix +RcppEigen +SparseM +scales +viridis +colorspace +dichromat +terra +httr +mapproj +markdown +leaflet +ShinyDash +quantreg +pwr +maptools diff --git a/validation/workspace/table1.html b/validation/workspace/table1.html new file mode 100644 index 0000000..5a1704b --- /dev/null +++ b/validation/workspace/table1.html @@ -0,0 +1,2915 @@ + + + + +datatables + + + + + + + + + + + + + + + + + +
+
+
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