Statistics and Statistical Programming (Spring 2019)/R lecture outline: Week 3

Review of material from class

 * loading data:
 * load versus read.csv vs. read.delim (w arguments like row.names=FALSE)
 * when things don't cooperate...
 * library(foreign) for datasets from Stata and beyond (check the documentation!)


 * defining functions
 * syntax for defining functions: show the my.mean function
 * calling functions repeatedly (your own or others) with apply, lapply, sapply
 * debugging with print
 * demonstrate w my.mean


 * stuff related to distributions
 * rep
 * seq
 * sample; and sampling into data.frames


 * dates with POSIXct. dates will almost always be given to you as characters, and you need to parse them
 * tapply, and putting things back into data.frames
 * merge