Stata, a widely-used statistical software package, boasts a plethora of features that streamline data management and analysis. Among these features, clone variables stand out as a powerful tool that offers researchers greater flexibility and control over their datasets. In this article, we will delve into the concept replicating or cloning a variable. The `generate` command […]
Reshape in R is when data is transformed from one form to another. The data can take a long form or wide form. In the wide form, each row represents a unique entity and each variable is spread across multiple columns. For example, consider a data set of a company, having stock prices for different
This article will focus on how the data can be transposed. Matrix transposing is the process of switching the order of rows and columns. The values will be transposed into a column for each row in the original data and vice versa. In this article, we are going to use three datasets. The first dataset
In this article, we’ll explain how to clean, extract, and modify string variables in a variety of ways. In both programming and data analysis, string variables play a crucial role since they often contain textual information that must be manipulated and processed. Data consistency and accuracy can be improved by “cleaning” string variables by deleting
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This article details out the margin and marginal plots in Stata. The margins, in Stata, are referred to as a technique that is used to calculate the marginal effects of independent variables in models such as regression. Using margins, we can estimate the change in predicted values when one or more independent variable changes, keeping
