Recode the factors with tidyverse

To recode the factors in R with modified names and order, you can use the forcats package within the tidyverse framework. Here is an example:

library(tidyverse)
library(forcats)

# create an example data frame with a factor column
df <- data.frame(
  x = factor(c("A", "B", "C", "A", "B")),
  y = 1:5
)

# create a new order for the factor levels
new_order <- c("C", "B", "A")

# create a mapping of old factor levels to new factor levels
level_mapping <- c("A" = "Alpha", "B" = "Beta", "C" = "Charlie")

# use fct_recode() to recode the factor levels with new names and order
df_new <- df %>%
  mutate(x = fct_recode(x, !!!level_mapping, .ordered = TRUE)) %>%
  mutate(x = fct_relevel(x, new_order))

# print the new data frame
print(df_new)

This code will recode the factor levels in column x with the new names specified in level_mapping, and will order them as specified in new_order. The fct_recode() function is used to create a mapping between the old and new factor levels, and the !!! operator is used to unpack the mapping as separate arguments. The .ordered = TRUE argument is used to preserve the order of the factor levels. Finally, the fct_relevel() function is used to reorder the factor levels according to new_order.