Analogous function for filter in dplyr.

filter_dt(data, ...)

Arguments

data

data.frame

...

List of variables or name-value pairs of summary/modifications functions.

Value

data.table

See also

Examples

iris %>% filter_dt(Sepal.Length > 7)
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1: 7.1 3.0 5.9 2.1 virginica #> 2: 7.6 3.0 6.6 2.1 virginica #> 3: 7.3 2.9 6.3 1.8 virginica #> 4: 7.2 3.6 6.1 2.5 virginica #> 5: 7.7 3.8 6.7 2.2 virginica #> 6: 7.7 2.6 6.9 2.3 virginica #> 7: 7.7 2.8 6.7 2.0 virginica #> 8: 7.2 3.2 6.0 1.8 virginica #> 9: 7.2 3.0 5.8 1.6 virginica #> 10: 7.4 2.8 6.1 1.9 virginica #> 11: 7.9 3.8 6.4 2.0 virginica #> 12: 7.7 3.0 6.1 2.3 virginica
iris %>% filter_dt(Sepal.Length > 7,Sepal.Width > 3)
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1: 7.2 3.6 6.1 2.5 virginica #> 2: 7.7 3.8 6.7 2.2 virginica #> 3: 7.2 3.2 6.0 1.8 virginica #> 4: 7.9 3.8 6.4 2.0 virginica
iris %>% filter_dt(Sepal.Length > 7 & Sepal.Width > 3)
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1: 7.2 3.6 6.1 2.5 virginica #> 2: 7.7 3.8 6.7 2.2 virginica #> 3: 7.2 3.2 6.0 1.8 virginica #> 4: 7.9 3.8 6.4 2.0 virginica
iris %>% filter_dt(Sepal.Length == max(Sepal.Length))
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1: 7.9 3.8 6.4 2 virginica