Analogous function for select in dplyr.

select_dt(data, ...)

Arguments

data

data.frame

...

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

Value

data.table

See also

Examples

iris %>% select_dt(1,3,4)
#> Sepal.Length Petal.Length Petal.Width #> 1: 5.1 1.4 0.2 #> 2: 4.9 1.4 0.2 #> 3: 4.7 1.3 0.2 #> 4: 4.6 1.5 0.2 #> 5: 5.0 1.4 0.2 #> --- #> 146: 6.7 5.2 2.3 #> 147: 6.3 5.0 1.9 #> 148: 6.5 5.2 2.0 #> 149: 6.2 5.4 2.3 #> 150: 5.9 5.1 1.8
iris %>% select_dt(2:3)
#> Sepal.Width Petal.Length #> 1: 3.5 1.4 #> 2: 3.0 1.4 #> 3: 3.2 1.3 #> 4: 3.1 1.5 #> 5: 3.6 1.4 #> --- #> 146: 3.0 5.2 #> 147: 2.5 5.0 #> 148: 3.0 5.2 #> 149: 3.4 5.4 #> 150: 3.0 5.1
iris %>% select_dt(Sepal.Length)
#> Sepal.Length #> 1: 5.1 #> 2: 4.9 #> 3: 4.7 #> 4: 4.6 #> 5: 5.0 #> --- #> 146: 6.7 #> 147: 6.3 #> 148: 6.5 #> 149: 6.2 #> 150: 5.9
iris %>% select_dt(Sepal.Length,Species)
#> Sepal.Length Species #> 1: 5.1 setosa #> 2: 4.9 setosa #> 3: 4.7 setosa #> 4: 4.6 setosa #> 5: 5.0 setosa #> --- #> 146: 6.7 virginica #> 147: 6.3 virginica #> 148: 6.5 virginica #> 149: 6.2 virginica #> 150: 5.9 virginica
iris %>% select_dt(-Sepal.Length,-Species)
#> Sepal.Width Petal.Length Petal.Width #> 1: 3.5 1.4 0.2 #> 2: 3.0 1.4 0.2 #> 3: 3.2 1.3 0.2 #> 4: 3.1 1.5 0.2 #> 5: 3.6 1.4 0.2 #> --- #> 146: 3.0 5.2 2.3 #> 147: 2.5 5.0 1.9 #> 148: 3.0 5.2 2.0 #> 149: 3.4 5.4 2.3 #> 150: 3.0 5.1 1.8
iris %>% select_dt(startsWith(colnames(.),"Petal"))
#> Petal.Length Petal.Width #> 1: 1.4 0.2 #> 2: 1.4 0.2 #> 3: 1.3 0.2 #> 4: 1.5 0.2 #> 5: 1.4 0.2 #> --- #> 146: 5.2 2.3 #> 147: 5.0 1.9 #> 148: 5.2 2.0 #> 149: 5.4 2.3 #> 150: 5.1 1.8