Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 3: Difference between revisions
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== 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 | * stuff related to distributions | ||
** rep() | ** rep() | ||
** seq() | ** seq() | ||
** sample() | ** sample(); and sampling into data.frames | ||
== 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() | |||
* | |||
* | |||
Latest revision as of 19:38, 25 January 2017
Review of material from class[edit]
- 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
Online only[edit]
- 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()