num_row_NAs: Counts number of NAs in each row
In lorenzwalthert/assertr: Assertive Programming for R Analysis Pipelines

Description Usage Arguments Value See Also Examples

This function will return a vector, with the same length as the number of rows of the provided data frame, corresponding to the number of missing values in each row

1	num_row_NAs(data, allow.NaN = FALSE)

`data`	A data frame
`allow.NaN`	Treat NaN like NA (by counting it). FALSE by default

A vector of number of missing values in each row

is.na is.nan not_na

num_row_NAs(mtcars)


library(magrittr)            # for piping operator
library(dplyr)               # for "everything()" function

# using every column from mtcars, make sure there are at most
# 2 NAs in each row. If there are any more than two, error out
mtcars %>%
  assert_rows(num_row_NAs, within_bounds(0,2), everything())
  ## anything here will run