add another 'color' condition to jitter with ggboxplot

To add another "color" condition to jitter with ggboxplot in R, follow these steps:

1. Load the necessary libraries: Start by loading the required libraries, including "ggplot2" and "ggpubr". Use the following code:

library(ggplot2)
library(ggpubr)

1. Create a data frame: Next, create a data frame that contains the variables you want to analyze. For example, if you have a data frame named "df" with variables "x", "y", and "color", use the following code:

df <- data.frame(x = c(1, 2, 3, 4, 5),
                 y = c(10, 15, 8, 12, 20),
                 color = c("red", "blue", "red", "blue", "green"))

1. Generate the boxplot with jitter: Use the "ggboxplot()" function from the "ggpubr" package to generate the boxplot with jitter. Specify the variable names for the x-axis, y-axis, and color using the "x", "y", and "color" parameters, respectively. Use the "geom = 'jitter'" argument to add jitter to the plot. Here's an example:

ggboxplot(data = df, x = "x", y = "y", color = "color", geom = "jitter")

1. Customize the plot (optional): If desired, you can customize the plot further by adding titles, labels, adjusting colors, etc. Use the available functions from "ggplot2" to modify the plot according to your preferences.

That's it! By following these steps, you can add another "color" condition to the jitter with ggboxplot in R.