Getting Started in Data Analysis: Stata, R, SPSS, Excel: Home

A collection of tutorials to help you getting started in your data analysis.

"Using outreg2 to report regression output, descriptive statistics, frequencies and basic crosstabulations."

"Using stargazer to report regression output and descriptive statistics in R (for non-LaTeX users)."

Easiest way to go from SPSS, SAS or other proprietary statistical software to Stata

This Stata tutorial include topics reading data in Stata (from Excel to Stata, from SPSS to Stata, from SAS to Stata), data management (recode, generate, sort variables), frequencies, crosstabs, merge, scatter plots, histograms, descriptive statistics, regression and more!

This R tutorial provides a side-by-side comparison with Stata. It includes first steps, importing/exporting data to/from R/Stata. Frequencies, crosstablations, scatterplots, histograms, descriptive statistics.

A basic introduction on fixed and random effects models to analyze panel data.

Introduction to fixed/random effects using R

Basic introduction to linear regression analysis, diagnostics and presentation (using Stata)

Introduction to linear regression and diagnostics using R.

Introduction to logit and ordered logit regression

Basic introduction to factor analysis

Procedures and tips on how to analyze public opinion data

Merge, append datasets using Stata

Merge, append using R

Reshape wide to long and long to wide in Stata

Reshape long to wide and wide to long in R

This document offers a quick introduction to the NLS Investigator. It follows a basic approach and focus on searching, downloading and putting the data into Stata

Basic intro on how to use RStudio

Rows as columns in Excel

Excel file on how to estimate a z-test for proportions.

Estimating predicted probabilities and marginal effects after (ordered) logit/probit models --margins--. Export output to word using ---outreg2--

Estimating logit/ordered logit models using R. Predicted probabilities and marginal effects are are also included.

Stata code to the most common graphs used in statistical analysis.

Basic differences-in-differences estimation (Stata)

Basic differences-in-differences estimation (R)

This Stata tutorial provides an introduction on how to set your data for analysis and how to get descriptive statistics using Excel and Stata. It shows how to go from Excel to Stata, SPSS to Stata, SAS to Stata, ASCII to Stata, R to Stata. Reshape from long to wide and wide to long.

Basics on how to run, define and interpret linear regression and time series output.

Introduction to panel data analysis

Introduction to multilevel analysis

Introduction to time series analysis

What to do first, exploring data, do-file, date and time variables, references

This section provides some basic definitions for data and its different types.

What are descriptive statistics? How to estimate them using Excel or Stata?

A series of links with annotated output for several models, testing and some econometric procedures.

Written by G. David Garson, from North Carolina State University, Public Administration Program

"This Electronic Statistics Textbook offers training in the understanding and application of statistics. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses and covers a

"Statisticians use a confidence interval to express the degree of uncertainty associated with a sample statistic. A confidence interval is an interval estimate combined with a probability statement."

On data visualization

The DSS lab is located in Firestone Library A-12G (A-floor)