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

Review of material from class

 * loading data:
 * load versus read.csv
 * when things don't coopreate...


 * library(foreign)


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


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

Online only

 * 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