format_numeric.Rd
Formats the numeric columns of a data.frame, to round to a specific number of digits.
format_numeric(x, digits)
x | A data.frame. |
---|---|
digits | The desired number of digits. |
dat <- mtcars format_numeric(dat, 1)#> mpg cyl disp hp drat wt qsec vs am gear carb #> Mazda RX4 21.0 6.0 160.0 110.0 3.9 2.6 16.5 0.0 1.0 4.0 4.0 #> Mazda RX4 Wag 21.0 6.0 160.0 110.0 3.9 2.9 17.0 0.0 1.0 4.0 4.0 #> Datsun 710 22.8 4.0 108.0 93.0 3.8 2.3 18.6 1.0 1.0 4.0 1.0 #> Hornet 4 Drive 21.4 6.0 258.0 110.0 3.1 3.2 19.4 1.0 0.0 3.0 1.0 #> Hornet Sportabout 18.7 8.0 360.0 175.0 3.1 3.4 17.0 0.0 0.0 3.0 2.0 #> Valiant 18.1 6.0 225.0 105.0 2.8 3.5 20.2 1.0 0.0 3.0 1.0 #> Duster 360 14.3 8.0 360.0 245.0 3.2 3.6 15.8 0.0 0.0 3.0 4.0 #> Merc 240D 24.4 4.0 146.7 62.0 3.7 3.2 20.0 1.0 0.0 4.0 2.0 #> Merc 230 22.8 4.0 140.8 95.0 3.9 3.1 22.9 1.0 0.0 4.0 2.0 #> Merc 280 19.2 6.0 167.6 123.0 3.9 3.4 18.3 1.0 0.0 4.0 4.0 #> Merc 280C 17.8 6.0 167.6 123.0 3.9 3.4 18.9 1.0 0.0 4.0 4.0 #> Merc 450SE 16.4 8.0 275.8 180.0 3.1 4.1 17.4 0.0 0.0 3.0 3.0 #> Merc 450SL 17.3 8.0 275.8 180.0 3.1 3.7 17.6 0.0 0.0 3.0 3.0 #> Merc 450SLC 15.2 8.0 275.8 180.0 3.1 3.8 18.0 0.0 0.0 3.0 3.0 #> Cadillac Fleetwood 10.4 8.0 472.0 205.0 2.9 5.2 18.0 0.0 0.0 3.0 4.0 #> Lincoln Continental 10.4 8.0 460.0 215.0 3.0 5.4 17.8 0.0 0.0 3.0 4.0 #> Chrysler Imperial 14.7 8.0 440.0 230.0 3.2 5.3 17.4 0.0 0.0 3.0 4.0 #> Fiat 128 32.4 4.0 78.7 66.0 4.1 2.2 19.5 1.0 1.0 4.0 1.0 #> Honda Civic 30.4 4.0 75.7 52.0 4.9 1.6 18.5 1.0 1.0 4.0 2.0 #> Toyota Corolla 33.9 4.0 71.1 65.0 4.2 1.8 19.9 1.0 1.0 4.0 1.0 #> Toyota Corona 21.5 4.0 120.1 97.0 3.7 2.5 20.0 1.0 0.0 3.0 1.0 #> Dodge Challenger 15.5 8.0 318.0 150.0 2.8 3.5 16.9 0.0 0.0 3.0 2.0 #> AMC Javelin 15.2 8.0 304.0 150.0 3.1 3.4 17.3 0.0 0.0 3.0 2.0 #> Camaro Z28 13.3 8.0 350.0 245.0 3.7 3.8 15.4 0.0 0.0 3.0 4.0 #> Pontiac Firebird 19.2 8.0 400.0 175.0 3.1 3.8 17.1 0.0 0.0 3.0 2.0 #> Fiat X1-9 27.3 4.0 79.0 66.0 4.1 1.9 18.9 1.0 1.0 4.0 1.0 #> Porsche 914-2 26.0 4.0 120.3 91.0 4.4 2.1 16.7 0.0 1.0 5.0 2.0 #> Lotus Europa 30.4 4.0 95.1 113.0 3.8 1.5 16.9 1.0 1.0 5.0 2.0 #> Ford Pantera L 15.8 8.0 351.0 264.0 4.2 3.2 14.5 0.0 1.0 5.0 4.0 #> Ferrari Dino 19.7 6.0 145.0 175.0 3.6 2.8 15.5 0.0 1.0 5.0 6.0 #> Maserati Bora 15.0 8.0 301.0 335.0 3.5 3.6 14.6 0.0 1.0 5.0 8.0 #> Volvo 142E 21.4 4.0 121.0 109.0 4.1 2.8 18.6 1.0 1.0 4.0 2.0