From 5032e479a43e28fcb3c24230b56d6c62a8a98266 Mon Sep 17 00:00:00 2001 From: Luiza Date: Thu, 25 Jul 2019 18:21:22 -0400 Subject: [PATCH] Update README.md --- README.md | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/README.md b/README.md index 25fb69b..a04e8fd 100644 --- a/README.md +++ b/README.md @@ -3,12 +3,7 @@ ## Background This material was developed by the [DIME Analytics](https://worldbank.github.io/dimeanalytics/) team as an introduction to R Statistical Package for its staff. It builds upon knowledge of Stata to explore features of R with impact evaluation applications in mind. It also assumes some degree of familiarity with DIME's [coding practices](https://dimewiki.worldbank.org/wiki/Stata_Coding_Practices). -## Current version -The development branch version is being adopted in DIME's R training in November and December 2018. As the training is on going, the content is being updated in real time as each presentation has a final version. - -Other presentations were adopted in DIME's [Field Coordinator Training](http://www.worldbank.org/en/events/2018/04/09/manage-successful-impact-evaluations) in June 18. - -## FC training content +## Training content 1. Intro to R: introduction to RStudio, R syntax, objects and classes. Designed for a 3h session. 1. Coding Best Practices in R: uses and R master script to explore code organization, loops, custom functions and if statements. Designed for a 1h30 session. 1. Data Processing: basic functions for porcessing data. Designed for a 2h session.