Drop rows that are NA in all specified variables.

drop_na_rows drops rows that are NA in all specified variables.

drop_na_rows(population, variables)

Arguments

population	tbl with grouping (metadata) and observation variables.
variables	character vector specifying observation variables.

Value

population without rows that have NA in all specified variables.

Examples

population <- tibble::tibble(
  Metadata_group = c(
    "control", "control", "control", "control",
    "experiment", "experiment", "experiment", "experiment"
  ),
  Metadata_batch = c("a", "a", "b", "b", "a", "a", "b", "b"),
  AreaShape_Area = c(10, 12, NA, 16, 8, 8, 7, 7),
  AreaShape_Length = c(2, 3, NA, NA, 4, 5, 1, 5)
)
variables <- c("AreaShape_Area", "AreaShape_Length")
drop_na_rows(population, variables)
#> # A tibble: 7 x 4
#>   Metadata_group Metadata_batch AreaShape_Area AreaShape_Length
#>   <chr>          <chr>                   <dbl>            <dbl>
#> 1 control        a                          10                2
#> 2 control        a                          12                3
#> 3 control        b                          16               NA
#> 4 experiment     a                           8                4
#> 5 experiment     a                           8                5
#> 6 experiment     b                           7                1
#> 7 experiment     b                           7                5