empty_cols {sjmisc} | R Documentation |
Return or remove variables or observations that are completely missing
Description
These functions check which rows or columns of a data frame completely contain missing values, i.e. which observations or variables completely have missing values, and either 1) returns their indices; or 2) removes them from the data frame.
Usage
empty_cols(x)
empty_rows(x)
remove_empty_cols(x)
remove_empty_rows(x)
Arguments
x |
A data frame. |
Value
For empty_cols
and empty_rows
, a numeric (named) vector
with row or column indices of those variables that completely have
missing values.
For remove_empty_cols
and remove_empty_rows
, a
data frame with "empty" columns or rows removed.
Examples
tmp <- data.frame(a = c(1, 2, 3, NA, 5),
b = c(1, NA, 3, NA , 5),
c = c(NA, NA, NA, NA, NA),
d = c(1, NA, 3, NA, 5))
tmp
empty_cols(tmp)
empty_rows(tmp)
remove_empty_cols(tmp)
remove_empty_rows(tmp)
[Package sjmisc version 2.8.10 Index]