R Programming/Index

R Basics
Data Management
Graphics
- Grammar of graphics
Publication quality output
Descriptive Statistics
Mathematics
Statistical Core Methods
Regression Models
Time Series
Factor Analysis
Classification
- Ordination
- Clustering
Network Analysis
High Performance Computing
- Profiling R code
- Parallel computing with R
Appendix
- Sources
- Index

This page provides tables which make it easy to find functions for usual tasks in statistics in R, SAS and Stata. Other software may also be included in the future such as SPSS.

Data management

Function	R	Stata	SAS
Merge	merge()	merge / mmerge	-
Reshape	reshape()	reshape	-
Expand a dataset	expand() (epicalc)	expand	-

Descriptive Statistics

Function	R	Stata	SAS
Mean	mean()	mean	proc means
Histogram	hist()	hist	-
Frequency table	table()	ta	proc freq

Regression models

Function	R	Stata	SAS
Least Square	lm()	reg	proc reg
GLM	glm()	glm	proc glm
Probit models	glm(, family = binomial(link="probit"))	probit	-
Logit models	glm(, family = binomial(link="logit"))	logit	-
Linear fixed effects model	plm( , model = "within") (plm)	xtreg , fe	-
Linear random effects model	plm( , model = "random") (plm)	xtreg , re	-
Linear quantile regression	rq() (quantreg)	qreg	-
Ordinal logistic regression	polr() (MASS)	ologit	-
Linear IV (2sls)	ivreg() (AER)	ivreg	proc syslin (2sls) -

Programming

Function	R	Stata	SAS
Check some condition	stopifnot()	assert	-