# num_row_NAs

From assertr v2.7
by Tony Fischetti

##### Counts number of NAs in each row

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

##### Usage

`num_row_NAs(data, allow.NaN = FALSE)`

##### Arguments

- data
A data frame

- allow.NaN
Treat NaN like NA (by counting it). FALSE by default

##### Value

A vector of number of missing values in each row

##### See Also

##### Examples

```
# NOT RUN {
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
# }
```

*Documentation reproduced from package assertr, version 2.7, License: MIT + file LICENSE*

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