Commit 7c544f9e authored by Jacques Marc-Antoine's avatar Jacques Marc-Antoine Committed by GitHub

Update README.md

parent 9b3fe62c
# Time-course analysis web-app
## Runnning instance
- [Time-course analysis web-app](#time-course-analysis-web-app)
* [Running the app](#running-the-app)
+ [Runnning instance](#runnning-instance)
+ [Running the app on the server](#running-the-app-on-the-server)
+ [Running the app locally](#running-the-app-locally)
* [Input file](#input-file)
- [Long format](#long-format)
- [Wide format](#wide-format)
* [Unique track IDs](#unique-track-ids)
* [Modules](#modules)
## Running the app
### Running instance
Access the running instance of the app on [shinyapps.io](https://macdobry.shinyapps.io/tcourse-inspector/ "TimeCourse Inspector")
## Running the app on the server
### Running the app on the server
The app can be deployed on RStudio/Shiny server. Follow instruction [here](https://shiny.rstudio.com/deploy/ "Shiny - Hosting").
## Running the app locally
### Running the app locally
Alternatively, after downloading the code, the app can run within RStudio. Open `server.R` or `ui.R` file, then click "Run App" button with green triangle in the upper right corner of the window with code open.
Following packages need to be installed in order to run the app locally:
......@@ -45,6 +58,13 @@ install.packages(c("shiny", "shinyjs", "shinyBS", "shinycssloaders",
"imputeTS", "MASS", "robust", "pracma", "Hmisc"))
```
### Running the app locally with a temporary copy
Running the 2 following lines should get you started immediatly with a temporary copy of the app:
```
library(shiny)
runGitHub("dmattek/shiny-timecourse-inspector")
```
## Input file
The app recognizes CSV (comma-separated values) files where data columns are separated by a comma and floating point numbers use a dot (full-stop). Compressed CSV files in zip or bz2 format can be uploaded directly without decompression. Both long and wide data formats are accepted but we highly recommend using the long format because it allows for multiple groupings and multivariate measurements.
......
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