Exclude a Category Level from p-Value Calculations with gtsummary
gtsummary is a powerful R package that provides a comprehensive set of tools for summarizing and presenting statistical results in a tidy and visually appealing manner. One of the key features of gtsummary is its ability to perform statistical tests and calculate p-values. However, there may be instances where you want to exclude a specific category level from the p-value calculations.
This can be useful in various scenarios, such as when you have a reference group or a control group that you don't want to include in the statistical analysis. In this blog post, we'll demonstrate how to exclude a category level from p-value calculations using gtsummary.
Step 1: Load the gtsummary Package
install.packages("gtsummary")
library(gtsummary)
Step 2: Load Your Data
data <- read.csv("data.csv")
Step 3: Specify the Reference Category
To exclude a category level from the p-value calculations, you need to specify it as the reference category.
data$group <- relevel(data$group, ref = "Control")
Step 4: Create a gtsummary Table
Now, you can create a gtsummary table using the tbl_summary() function.
tbl <- tbl_summary(data, by = "group")
Step 5: Exclude the Reference Category from p-Value Calculations
To exclude the reference category from the p-value calculations, you can use the exclude() function.
tbl <- tbl_summary(data, by = "group", exclude = c("Control"))
Step 6: Print the gtsummary Table
Finally, you can print the gtsummary table using the kable() function.
kable(tbl)
The resulting table will show the statistical results, excluding the reference category from the p-value calculations.
By following these steps, you can easily exclude a category level from the p-value calculations using gtsummary. This flexibility makes gtsummary a powerful tool for presenting statistical results in a clear and informative manner.