ANOVA (Analysis of Variance) is an analysis tool used to see the effect of categorical independent variables on a dependent variable in regressions. This article is motivated by Chapter 9 of A Gentle Introduction to Stata by Alan C. Acock. There are two main assumptions that need to be met when using ANOVA. To explore […]
This article covers all the basics of working with dates in Stata. Knowing how to work with dates comes in particularly handy when working with panel data. If you wish to dive deeper into date and time, please refer to Chapter 6 of Data Management Using Stata by Michael N. Mitchell. To understand dates in
Using Dates in Stata | Quick Tips to work with Dates in Stata Read More »
The collapse command in Stata is used to aggregate a dataset by collapsing it based on some summary statistics of a variable like mean, sum, median, percentile, standard error etc. To understand how a variable can be aggregated, let’s start by loading Stata’s built-in NLSW (1988) dataset. Download Example File sysuse nlsw88, clear We will
Aggregate Data by Group using Collapse command in Stata Read More »
Data frames allow users to hold multiple datasets in memory at the same time, and work on all of them. While this concept has been present in other data analysis software like R and Python for a while, it was introduced to Stata in Stata 16. With data frames in Stata, you don’t have to
Data Frames in Stata | Store Multiple Datasets in Stata Memory Read More »
In Stata, the functionality of commands can be enhanced by adding qualifiers like if and in, and prefixes like by and bysort. Qualifiers are written in the middle of a command to let the command be applied on a specific subset of data. Prefixes are always written at the start of a command and make
Stata Command Modifiers if, in, by, bysort Qualifiers and Statements in Stata Read More »
