Grouping is required when doing a one-sample t-test

[Leon]

See my reply here:

generate for loop for different csv files

This might not be exactly what you are looking for, but based on what you are trying to achieve, it might be a good approach to look into: # Load Libraries ---------------------------------------------------------- library("tidyverse") library("broom") # Create Example Data ----------------------------------------------------- map(1:6, \(i) write_csv(x = tibble(x = rnorm(10), y = rnorm(10)), file = str_c("~/my_csv_file_", i, ".csv")) ) # Load Data --------------------------------------------------------------- my_csv_files <- list.files(path = "~", full.names = TRUE, pattern = "csv$") my_data <- my_csv_files %>% map(read_csv) # Run tests --------------------…