Select function is used in R to filter Columns, just like filter function is used to filter rows in data. To know how the filter function works, select the working directory and once it has been set up, the tidyverse package needs to be installed, and we need to run tidyverse library to use the […]
In R, one can filter rows present in data set using various functions and packages. Rows can be filtered in the R using filter function, and Columns can be filtered using select function. In this article, we are going to use tidyverse package to filter rows. Starting with it, set the working directory of the
Tidyverse package in R is one of the package that is used for reshaping the data. The reshaping of data is done by transforming data from long format to wide format and vice versa. This article focuses on different issues that can arise from reshaping data in R. To go into detail of it, first
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 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
