Analysis in R: useful for learning ggplot2! The “ggplotgui” package

公開日 2023-01-24

This is an introduction to a package that allows you to interactively manipulate ggplot2 from a web browser. This package is useful for learning R because you can get the code of the plot you created with “ggplot2” and “plotly”.

The color of the plot cannot be changed, but if you add the “fill” option to the code you get, there should be no problem.

Here is the article for the package that allows you to create ggplot2 interactively from your web browser.

　・Analysis in R: ggplot2’s appearance can be manipulated interactively!
　　”ggThemeAssist” package
　　https://www.karada-good.net/analyticsr/r-478

　・Analysis in R: ggplot2’s appearance can be manipulated interactively! Part 2
　　”ggedit” package
　　https://www.karada-good.net/analyticsr/r-586

This is a summary of the “ggplot2” package.
　・Analysis in R: If you want easy and clean graphs, here is a summary of ggplot2.
　　https://www.karada-good.net/analyticsr/r-78

Package version is 1.0.0. R version 4.2.2 is confirmed.

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Install Package

Run the following command.

#Install Package
install.packages("ggplotgui")

Execute command

See the command and package help for details.

#Package loading
library("ggplotgui")

###Creating Example Data#####
n <- 3000
TestData <- data.frame(Group = sample(paste0("Group", 1:5), n, replace = TRUE),
                       Data1 = rnorm(n),
                       Data2 = rnorm(n) + rnorm(n) + rnorm(n),
                       Data3 = sample(0:1, n, replace = TRUE),
                       Data4 = sample(LETTERS[1:26], n, replace = TRUE))
#######

#Operating ggplot2 with GUI: ggplot_shiny command
#Set data:dataset option:Only GUI is activated in NA
ggplot_shiny(dataset = TestData)