How to generate deviation plots in R using ggpubr package

Deviation plots are a type of graph that shows the deviation of multiple groups from a central value. It is useful for comparing the deviations of different groups from a common reference point. In R, there are several ways to generate deviation plots, and one of them is by using the ggpubr package.

The ggpubr package is a package that provides a simple and easy-to-use interface for creating ggplot2-based graphics. It provides a set of functions for creating different types of plots, including deviation plots.

To generate deviation plots in R using the ggpubr package, you first need to install and load the package. Once the package is loaded, you can use the ggdeviation() function to create a deviation plot of a given data set. The function takes the data as an input, as well as other optional parameters such as the color of the bars, the size of the bars, and the labels for the x and y axes. The function also allows you to specify the central value that the deviation should be calculated from.

It’s worth noting that deviation plots are useful when you have multiple groups of data and you want to compare the deviation of each group from a common reference point. The ggpubr package provides a simple and easy-to-use interface for creating deviation plots and other types of plots. It’s a good idea to consult with experts before visualizing data in deviation plots.

In summary, deviation plots are a type of graph that shows the deviation of multiple groups from a central value. They are useful for comparing the deviations of different groups from a common reference point. In R, there are several ways to generate deviation plots, and one of them is by using the ggpubr package. The ggpubr package provides a set of functions for creating deviation plots, such as the ggdeviation() function. It allows you to specify the central value that the deviation should be calculated from. It’s worth noting that deviation plots are useful when you have multiple groups of data and you want to compare the deviation of each group from a common reference point. The ggpubr package provides a simple and easy-to-use interface for creating deviation plots and other types of plots. It’s a good idea to consult with experts before visualizing data in deviation plots.

In this Applied Machine Learning Recipe, you will learn: How to generate deviation plots in R using ggpubr package.