Lab 3: More R fundamentals

This module contains a PowerPoint file, some R code, and a data fle.

PowerPoint

Stuff that's covered: Find and set a working directory. Split and merge files (to shape and manipulate your data). Create and delete variables. Introduction to bootstrapping (resampling data to create empirical sampling distributions).

PowerPoint slides.

R code

My university won't let me post many file types, including those with the .r extension. So I will send you to an external server (Github) where you can download the R code.

R code for lab 3 (download the file Lab 3).

Example Data

Comma delimited or .csv file schoolA that can be read by R and by Excel. .csv file schoolB, and of course .csv file schoolC.