Thank you for the reply. I think this operator is going to be helpful when modifying a dataset for something like:
# pseudo code
df <- read_csv("some file")
df %<>%
rename("some variable") %>%
mutate("some variable operations")
I agree that it's pretty limited, e.g. the %<>% operator won't be appropriate as in the following pseudo code:
# the original dataset just disappears with the summary
df %<>%
group_by("some grouping variables") %>%
summarize("some summaries")
# for summaries it's better to have a new dataset, e.g.
df_summary <-
df %>%
group_by("some grouping variables") %>%
summarize("some summaries")
So my conclusion is I'm going to use this operator only when cleaning/wrangling a dataset.
Thanks again for your great answer and if any comments please let me know😊