remove_na_rows: Remove NA rows
In Sage-Bionetworks/NicolesCurationTools: Nicole's Data Curation Tools

Description Usage Arguments Value Examples

Removes NA rows. If columns is not 'NULL', then will only remove rows in which all columns given have 'NA'. If columns is 'NULL', then will remove rows that are 'NA' across all columns.

1	remove_na_rows(data, columns = NULL)

`data`	Data frame with metadata
`columns`	The columns to compare for 'NA' values.

The data without rows that are 'NA' across the given columns.

## Not run: 
dat <- data.frame(
  foo = c("bar0", NA, NA, "bar3"),
  bar = c(NA, "foo1", NA, "foo3")
)
dat1 <- remove_na_rows(dat)
dat2 <- remove_na_rows(dat, "foo")
dat3 <- remove_na_rows(dat, c("foo", "bar"))

## End(Not run)