New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Add function `keep_uninformative_columns()` #8

Open

joethorley opened this issue Sep 28, 2022 · 0 comments

Labels

Importance: High Timeline: Soon

Member

joethorley commented Sep 28, 2022

ends up with a data frame with 1 row with all those columns that a single value.
NAs with non-missing values are dropped if na_distinct = FALSE.

joethorley added the Priority: 2 High label

joethorley mentioned this issue

Add argument to drop_uninformative_columns() to include factors if all not 1st level #12

Open

dunkenwg added Importance: High Timeline: Soon and removed Priority: 2 High labels

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment