rm_empty_block {finalfit} | R Documentation |
Remove rows where all specified variables are missing
Description
It is common to want to remove cases/rows where all variables in a particular set are missing, e.g. all symptom variables are missing in a health care dataset.
Usage
rm_empty_block(.data, ...)
Arguments
.data |
Dataframe. |
... |
Unquoted variable/column names. |
Value
Data frame.
Examples
# Pretend that we want to remove rows that are missing in group1, group2, and group3
# but keep rest of dataset.
colon_s %>%
dplyr::mutate(
group1 = rep(c(NA, 1), length.out = 929),
group2 = rep(c(NA, 1), length.out = 929),
group3 = rep(c(NA, 1), length.out = 929)
) %>%
rm_empty_block(group1, group2, group3) %>%
head()
[Package finalfit version 1.0.8 Index]