I am currently learning a new data analysis program and have found RStudio to be a user-friendly and efficient software. As I work, I am curious if there is a package or code available that can generate a comprehensive descriptive table encompassing frequencies and percentages of multiple categorical variables in a well-organized manner instead of manual table writing.
Hi!,
Some quick and easy workflows are: https://www.geeksforgeeks.org/how-to-create-a-frequency-table-for-categorical-data-in-r/ and https://www.statology.org/two-way-table-in-r/
I hope this is helpful.
The best way to store data in R is via data tables -> https://datatofish.com/create-dataframe-in-r/
This is essentially, where you put your frequencies and percentages of multiple categorical variables.
Regarding your desired analysis, I suggest you the following link - https://uc-r.github.io/descriptives_categorical
There is no need for a dedicated package in your case. If you however would like to edit and visualize data, I recommend you here the very complete list of packages to be important - https://support.posit.co/hc/en-us/articles/201057987-Quick-list-of-useful-R-packages - notably "tidyverse" and "ggplot2"
You can try `tableone`, a package that can do almost everything you need: https://cran.r-project.org/web/packages/tableone/vignettes/introduction.html.
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