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 »
The bulk of data used in Stata for analysis purpose is mostly found in random observations. This data usually don’t follow the ascending or descending sequence. However, if we arrange data in a certain manner, it becomes easy to handle it, especially when it is in bulk. Note that, here, we are talking about arranging …
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 this article, we look at how a correlation matrix or a heat plot can be created in Stata. Heat plots are a more visually appealing way of representating the correlations between different variables. You can adjust the colour palette and what each colour represents on your own, though typically, a darker red colour indicates …
How To Make Heatplot In Stata | Correlation Heat Plot Read More »
This article will go over how nested or hierarchical regressions are used in Stata. In many published academic papers, we see a single table representing results from various regression models run by the authors. Often, each subsequent regression adds one new variable to the list of covariates that an outcome variable is being regressed on. …
Nested Regression OR Hierarchical Regression in Stata Read More »
