Duplicate columns and insert them into the dataframe at random
Source:R/duplicate_columns.R
duplicate_columns.RdDuplicate columns and insert them into the dataframe at random
Arguments
- data
input dataframe
- messiness
Probability that each column is duplicated. Must be between 0 and 1. Default 0.1.
- random
Whether duplicated column names should be randomly selected from other column names, or maintain the original. Default
TRUE.- name_sep
Separator to use for adding numbers to end of names. Default
"".
Examples
duplicate_columns(mtcars, messiness = 0.1)
#> mpg cyl disp hp drat wt qsec vs am gear carb wt453
#> Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 2.620
#> Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 2.875
#> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 2.320
#> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 3.215
#> Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 3.440
#> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 3.460
#> Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 3.570
#> Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 3.190
#> Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 3.150
#> Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 3.440
#> Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 3.440
#> Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 4.070
#> Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 3.730
#> Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 3.780
#> Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 5.250
#> Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 5.424
#> Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 5.345
#> Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 2.200
#> Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 1.615
#> Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 1.835
#> Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 2.465
#> Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 3.520
#> AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 3.435
#> Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 3.840
#> Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 3.845
#> Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 1.935
#> Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 2.140
#> Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 1.513
#> Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 3.170
#> Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 2.770
#> Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 3.570
#> Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 2.780