Skip to content

HBGDki/gc-india-training

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

30 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

HBGDki India Grand Challenges Training

Welcome to the repository for the HBGDki India Grand Challenges Training course material, presented at the Grand Challenges India meetings March 23, 2017 by Shasha Jumbe, Ryan Hafen, and Samer Mouksassi.

Installation

During the training, we will provide cloud resources and "Portable R" on a USB stick for Windows users. However, if you woule like to maintain your own installation of all the material used for this training, please see below.

If you encounter any issues with installation, please file an issue detailing the problem in this repository including the output of running sessionInfo() in your R session. Any known issues and possible workarounds will be documented more prominently at the bottom of this README.

For more information about how to use the USB stick that you received at the training, please see the "README-USB.docx" document in this repository.

System prerequisites:

  • Latest version of R (3.3.2) (download and install from here)
  • Latest version of RStudio (download and install from here)

R packages

Install the following R packages with the following commands:

install.packages(c("tidyverse", "rmarkdown", "formatR",
  "devtools", "brokenstick", "face", "plotly", "XML",
  "Hmisc", "reshape", "gamlss", "metrumrg", "nlme",
  "shiny", "ggplot2", "stringr", "data.table", "dplyr",
  "tidyr", "numDeriv", "shiny", "shinyjs", "ggrepel",
  "scales", "DT", "ggkm", "Hmisc", "quantreg", "markdown"
  repos = c(
    CRAN = "http://cran.rstudio.com/",
    deltarho = "http://packages.deltarho.org",
    rforge = "http://R-Forge.R-project.org"))

Course material

This repository contains all of the resources needed for the course. You can either clone the repository or simply download the zip file for the repository and unzip it on your computer.

Once you have the repository, you simply need to open up material/training.Rmd in RStudio and you are ready to go.

You can also look at some of the shiny applications inside the shinyapps directory by setting your working directory to tat of the desired application and running shiny::runApp().

Resources

The following resources can be useful to browse prior to the tutorial to help attendees have a better understanding of some concepts that will be built upon.

Any questions or inquiries about further training possibilities can be directed to the presenters (contact info available in links to presenters names above).

About

Code and data for India training

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published