Here is what Level Two of our continuing series on Introduction to Data Analysis using R will cover.

1. Prelude to Level Two
Hellen Gakuruh
January 19, 2017
Nitty Gritty of R
Welcome to level 2, in this level we delve into R programming. The assumption is that you
have basic knowledge of R and can make a function call.
In this session, just like it's predecessor (Level One), the approach would be non-text book
and more on concept building with an aim of making the transition to programming as easy
as possible.
Level two is meant to impart some programming skills for those interested in going beyond
R's functions. The skills learnt in this level are all geared towards developing user defined
functions which can be packaged and shared on GitHub and/or CRAN. This level will also
introduce a growing issue, that is, reproducible analysis. Therefore, if your goal is to learn
how to use R to do basic analysis using R's functions, then you can skip the second level and
only refer to it as need be.
What we will cover:
• SessionEleven: Looping System in R
• SessionTwelve: Environments
• SessionThirteen: Introduction to function development
• SessionFourteen: Reproducible Analysis in R (Rmarkdown and Shiny)
• SessionFifteen: Package Development