Selects target variable and additional columns from a dataframe

Usage

target_df(df, target_variable, ...)

Arguments

df: a dataframe
target_variable: a character string representing the target variable
...: additional columns to select from the dataframe

Value

a dataframe with only the target variable and the additional columns selected

Examples

# Selecting only the target variable
target_df(mtcars, "mpg")
#>                      mpg
#> Mazda RX4           21.0
#> Mazda RX4 Wag       21.0
#> Datsun 710          22.8
#> Hornet 4 Drive      21.4
#> Hornet Sportabout   18.7
#> Valiant             18.1
#> Duster 360          14.3
#> Merc 240D           24.4
#> Merc 230            22.8
#> Merc 280            19.2
#> Merc 280C           17.8
#> Merc 450SE          16.4
#> Merc 450SL          17.3
#> Merc 450SLC         15.2
#> Cadillac Fleetwood  10.4
#> Lincoln Continental 10.4
#> Chrysler Imperial   14.7
#> Fiat 128            32.4
#> Honda Civic         30.4
#> Toyota Corolla      33.9
#> Toyota Corona       21.5
#> Dodge Challenger    15.5
#> AMC Javelin         15.2
#> Camaro Z28          13.3
#> Pontiac Firebird    19.2
#> Fiat X1-9           27.3
#> Porsche 914-2       26.0
#> Lotus Europa        30.4
#> Ford Pantera L      15.8
#> Ferrari Dino        19.7
#> Maserati Bora       15.0
#> Volvo 142E          21.4

# Selecting the target variable and additional columns
target_df(mtcars, "mpg", cyl, disp)
#>                      mpg cyl  disp
#> Mazda RX4           21.0   6 160.0
#> Mazda RX4 Wag       21.0   6 160.0
#> Datsun 710          22.8   4 108.0
#> Hornet 4 Drive      21.4   6 258.0
#> Hornet Sportabout   18.7   8 360.0
#> Valiant             18.1   6 225.0
#> Duster 360          14.3   8 360.0
#> Merc 240D           24.4   4 146.7
#> Merc 230            22.8   4 140.8
#> Merc 280            19.2   6 167.6
#> Merc 280C           17.8   6 167.6
#> Merc 450SE          16.4   8 275.8
#> Merc 450SL          17.3   8 275.8
#> Merc 450SLC         15.2   8 275.8
#> Cadillac Fleetwood  10.4   8 472.0
#> Lincoln Continental 10.4   8 460.0
#> Chrysler Imperial   14.7   8 440.0
#> Fiat 128            32.4   4  78.7
#> Honda Civic         30.4   4  75.7
#> Toyota Corolla      33.9   4  71.1
#> Toyota Corona       21.5   4 120.1
#> Dodge Challenger    15.5   8 318.0
#> AMC Javelin         15.2   8 304.0
#> Camaro Z28          13.3   8 350.0
#> Pontiac Firebird    19.2   8 400.0
#> Fiat X1-9           27.3   4  79.0
#> Porsche 914-2       26.0   4 120.3
#> Lotus Europa        30.4   4  95.1
#> Ford Pantera L      15.8   8 351.0
#> Ferrari Dino        19.7   6 145.0
#> Maserati Bora       15.0   8 301.0
#> Volvo 142E          21.4   4 121.0