From daa23f5e5ac170868c3af46cab1699c8721e1451 Mon Sep 17 00:00:00 2001 From: Luiza Date: Fri, 21 Dec 2018 20:23:43 -0500 Subject: [PATCH] Update README.md --- README.md | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index d2b6b3e..b122b63 100644 --- a/README.md +++ b/README.md @@ -4,16 +4,15 @@ 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). ## Version -The master branch version was adopted in DIME's [Field Coordinator Training](http://www.worldbank.org/en/events/2018/04/09/manage-successful-impact-evaluations) in June 18. +The master branch version was adopted in DIME's R Couse in November/December 2018. ## Content It currently includes the following 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. -1. Descriptive Statistics: how to create and export descriptive statistics table in R. Designed for a 1h30 session. -1. Data Visualization: an introduction to creating and export graphs in ggplot2. Designed for a 1h30 session. -1. Geopatial Data: an overview of R resources on GIS. Desined for a 3h session. +1. Intro to R: introduction to RStudio, R syntax, objects and classes. +1. Descriptive Analysis: how to create and export descriptive statistics and regression tables in R. +1. Data Visualization: an introduction to creating and export graphs in ggplot2. +1. Spatial Data: an overview of R resources on spatial data and maps creation using ggmap. +1. Data Processing: basic functions for processing data (subsetting, merging, appending). ## License This material is developed under MIT license. See http://adampritchard.mit-license.org/ or see [the `LICENSE` file](https://github.com/worldbank/ietoolkit/blob/master/LICENSE) for details.