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Rename package to ggtime
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.Rbuildignore

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^vistas\.Rproj$
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^ggtime\.Rproj$
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^\.Rproj\.user$
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^LICENSE\.md$
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^README\.Rmd$

DESCRIPTION

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Package: vistas
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Title: Visualisation of time series
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Package: ggtime
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Title: Grammar of time series graphics
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Version: 0.0.0.9000
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Authors@R:
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c(
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Config/testthat/edition: 3
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Encoding: UTF-8
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Roxygen: list(markdown = TRUE)
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RoxygenNote: 7.2.1
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RoxygenNote: 7.2.3
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Imports:
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lifecycle,
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rlang,

NAMESPACE

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S3method(autolayer,tbl_ts)
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S3method(autoplot,tbl_ts)
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export(CoordCalendar)
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export(autolayer)
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export(autoplot)
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export(coord_calendar)
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import(rlang)
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import(tsibble)
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importFrom(ggplot2,aes)
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README.Rmd

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)
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```
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# vistas
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# ggtime
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<!-- badges: start -->
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[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
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[![CRAN status](https://www.r-pkg.org/badges/version/vistas)](https://CRAN.R-project.org/package=vistas)
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[![CRAN status](https://www.r-pkg.org/badges/version/ggtime)](https://CRAN.R-project.org/package=ggtime)
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<!-- badges: end -->
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The vistas package provides tools for graphically analysing time series, with exploration of trend and seasonality. It utilises the tsibble data format for time series and produces plots with ggplot2.
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The ggtime package provides tools for graphically analysing time series, with exploration of trend and seasonality. It utilises the tsibble data format for time series and produces plots with ggplot2.
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## Installation
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You can install the development version of vistas from [GitHub](https://github.com/) with:
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You can install the development version of ggtime from [GitHub](https://github.com/) with:
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```r
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# install.packages("remotes")
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remotes::install_github("tidyverts/vistas")
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remotes::install_github("tidyverts/ggtime")
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```
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## Example
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```{r example}
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library(vistas)
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library(ggtime)
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library(tsibble)
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tsibbledata::aus_production %>%
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autoplot(Bricks)

README.md

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<!-- README.md is generated from README.Rmd. Please edit that file -->
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# vistas
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# ggtime
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<!-- badges: start -->
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[![Lifecycle:
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experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
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[![CRAN
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status](https://www.r-pkg.org/badges/version/vistas)](https://CRAN.R-project.org/package=vistas)
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status](https://www.r-pkg.org/badges/version/ggtime)](https://CRAN.R-project.org/package=ggtime)
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<!-- badges: end -->
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The vistas package provides tools for graphically analysing time series,
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The ggtime package provides tools for graphically analysing time series,
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with exploration of trend and seasonality. It utilises the tsibble data
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format for time series and produces plots with ggplot2.
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## Installation
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You can install the development version of vistas from
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You can install the development version of ggtime from
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[GitHub](https://github.com/) with:
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``` r
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# install.packages("remotes")
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remotes::install_github("tidyverts/vistas")
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remotes::install_github("tidyverts/ggtime")
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```
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## Example
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``` r
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library(vistas)
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library(ggtime)
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library(tsibble)
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#>
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#> Attaching package: 'tsibble'

_pkgdown.yml

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url: https://vistas.tidyverts.org
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url: https://ggtime.tidyverts.org
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template:
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params:
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bootswatch: cosmo
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includes:
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in_header: |
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<script defer data-domain="vistas.tidyverts.org" src="https://track.mitchelloharawild.com/js/plausible.js"></script>
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<script defer data-domain="ggtime.tidyverts.org" src="https://track.mitchelloharawild.com/js/plausible.js"></script>
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development:
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mode: auto
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href: news/index.html
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- text: Vignettes
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menu:
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- text: Introduction to vistas
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href: articles/vistas.html
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- text: Introduction to ggtime
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href: articles/ggtime.html
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right:
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- icon: fa-github fa-lg
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href: https://github.com/tidyverts/vistas
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href: https://github.com/tidyverts/ggtime

vistas.Rproj ggtime.Rproj

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man/vistas-package.Rd man/ggtime-package.Rd

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tests/testthat.R

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# * https://testthat.r-lib.org/reference/test_package.html#special-files
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library(testthat)
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library(vistas)
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library(ggtime)
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test_check("vistas")
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test_check("ggtime")

vignettes/vistas.Rmd vignettes/ggtime.Rmd

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---
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title: "Introduction to vistas"
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title: "Introduction to ggtime"
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output: rmarkdown::html_vignette
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vignette: >
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%\VignetteIndexEntry{vistas}
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%\VignetteIndexEntry{ggtime}
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%\VignetteEngine{knitr::rmarkdown}
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%\VignetteEncoding{UTF-8}
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---
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```
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```{r setup}
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library(vistas)
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library(ggtime)
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```
2020

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Work in progress.

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