-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathREADME.Rmd
70 lines (51 loc) · 1.92 KB
/
README.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# ADViSEBioassay
<!-- badges: start -->
[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
<!-- badges: end -->
The goal of ADViSEBioassay is to ...
## Installation
ADViSEBioassay is a stand-alone application implemented using the R language (R > 4.0) and the Shiny libraries. It can be installed as any other R package on several operating systems (Windows, macOS and Linux). Before installing the package you have to perform few supplementary steps based on your operating systems:
* **Windows (tested on Windows 10 64bit)**\
Before installing the package you need also to install Rtools from the following link:
https://cran.r-project.org/bin/windows/Rtools.
* **MacOS**\
If you are on MacOs run the following codes in the console:
``` r
brew install imagemagick@6
brew install cairo
```
* **Ubuntu (tested on 18.04).**\
If you are on Ubuntu run the following codes in the console:
```
sudo apt install build-essential libcurl4-gnutls-dev libxml2-dev libssl-dev
sudo apt-get install libcairo2-dev
sudo apt-get install libxt-dev
sudo apt install libmagick++-dev
sudo apt-get install libc6
sudo apt-get install libnlopt-dev
```
After that, open RStudio, check if you have already installed the ```{devtools}``` package and run the following code:
``` r
devtools::install_github("ShinyFabio/ADViSEBioassay")
```
Be careful that if you need to install many packages and you decide to use compilation, the process could take a lot depending on your hardware and operating system.
## Usage
Once the installation is completed, run:
``` r
library("ADViSEBioassay")
run_app()
```
## Funding
...ADViSE