search for: df3b

...ve to pipe a third time, the final variable is changed in the same instruction. Also use mutate(across(...)), mutate_at is deprecated. And use ?case_when instead of nested ifelse's. It's much cleaner. As you can see, the result is identical to your code's result. library(dplyr) df3b <- df0 %>% mutate( across(starts_with('P'), ~case_when( .x == 0 ~ 0, .x == 1 ~ 25, .x == 2 ~ 75, .x == 3 ~ 150, .x == 4 ~ 350, .x == 5 ~ 750, .x == 6 ~ 3000, .x == 7 ~ 7500, .x == 8 ~ 15000, .x == 9 ~ 30000,...

Hi R Helpers, I have been looking for an example of how to execute different dplyr mutate statements on the same dataframe in a single step. I show how to do what I want to do by going from df0 to df1 to df2 to df3 by applying a mutate statement to each dataframe in sequence, but I would like to know if there is a way to execute this in a single step; so simply go from df0 to df1 while executing

I have two dataframes (df) that share a column header ("plot.id"). In the 1st df, "plot.id" records are repeated a variable number of times based on the number of trees monitored within each plot. The 2nd df only has a single record for each "plot.id", and contains a variable named "load" that is collected at the plot-level and is only listed once per plot