Getting Started in Data Analysis using Stata and R

Data and Statistical Services

Need help?

The Statistical Consultants are available by appointment for help with statistical packages and social science methodology weekdays.  Walk-in hours will resume in the fall semester.  Please email data@princeton.edu and provide all times available weekdays 9-5 you are available; your question you are trying to solve; and the statistical package you are using.

  Stata R
Overview Stata Tutorial  R Tutorial
R or Stata - Differences Rstata Rstata
Applying Code to multiple files LoopStata LoopR
Cubic Interpolation   CubicInterpolationR
Data Preparation & Descriptive Statistics DataPrepStata  
Data Visualization StataViz Rviz
Descriptive Statistics DescriptiveStata DescriptiveR
Differences-in Differences DIDStata DIDR
Factor Analysis Factor FactorR
Fixed Random Effects/Panel Data  FixedPanelStata FixedPanelR
Linear Regression RegressionStata RegressionR
Logit & Ordered Logit Regression including Predicted Probabilities & Marginal Effects LogitStata LogitR
Merge/Append MergeStata MergeR
Merge - Fuzzy Merge   FuzzyR
Missing Data MIStata    
Multilevel Analysis MultiLevelStata  
Output tables OutregStata OutputR
Reshape data ReshapeStata ReshapeR
Time Series TimeSeriesStata TimeSeriesR
Converting from SAS SAStoStata  
From Stata 13 to 10-12 StataRevert  
Additional Resources for learning Statistical Packages MoreStata MoreR / Exploring R @ Princeton
Using in Virtual Desktops StataVD  
Using in Adroit AdroitStata AdroitR

 

Additional Help for Excel

Descriptive Statistics  
Transpose  
XML to Excel  

Sage Research Methods is an excellent source for finding more about methodology.