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

From CommunityData

Review of material from class[edit]

  • 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()