This is a method for the tidyr drop_na() generic. It is translated to
data.table::na.omit()
Usage
# S3 method for class 'dtplyr_step'
drop_na(data, ...)Arguments
- data
A
lazy_dt().- ...
<
tidy-select> Columns to inspect for missing values. If empty, all columns are used.
Examples
library(dplyr)
library(tidyr)
dt <- lazy_dt(tibble(x = c(1, 2, NA), y = c("a", NA, "b")))
dt %>% drop_na()
#> Source: local data table [1 x 2]
#> Call: na.omit(`_DT8`)
#>
#> x y
#> <dbl> <chr>
#> 1 1 a
#>
#> # Use as.data.table()/as.data.frame()/as_tibble() to access results
dt %>% drop_na(x)
#> Source: local data table [2 x 2]
#> Call: na.omit(`_DT8`, cols = "x")
#>
#> x y
#> <dbl> <chr>
#> 1 1 a
#> 2 2 NA
#>
#> # Use as.data.table()/as.data.frame()/as_tibble() to access results
vars <- "y"
dt %>% drop_na(x, any_of(vars))
#> Source: local data table [1 x 2]
#> Call: na.omit(`_DT8`, cols = c("x", "y"))
#>
#> x y
#> <dbl> <chr>
#> 1 1 a
#>
#> # Use as.data.table()/as.data.frame()/as_tibble() to access results