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Adds special characters and randomly capitalises characters in the column names of a data frame.

Usage

messy_colnames(data, messiness = 0.2)

Arguments

data

data.frame to alter column names

messiness

Percentage of values to change per function. Must be between 0 and 1. Default 0.1.

Value

data.frame with messy column names

Author

Athanasia Monika Mowinckel

Examples

messy_colnames(mtcars)
#>                      mpg cyl dis&p  hp dra%t   &wt q%sec vs am  ge%ar %CARB 
#> Mazda RX4           21.0   6 160.0 110  3.90 2.620 16.46  0   1     4      4
#> Mazda RX4 Wag       21.0   6 160.0 110  3.90 2.875 17.02  0   1     4      4
#> Datsun 710          22.8   4 108.0  93  3.85 2.320 18.61  1   1     4      1
#> Hornet 4 Drive      21.4   6 258.0 110  3.08 3.215 19.44  1   0     3      1
#> Hornet Sportabout   18.7   8 360.0 175  3.15 3.440 17.02  0   0     3      2
#> Valiant             18.1   6 225.0 105  2.76 3.460 20.22  1   0     3      1
#> Duster 360          14.3   8 360.0 245  3.21 3.570 15.84  0   0     3      4
#> Merc 240D           24.4   4 146.7  62  3.69 3.190 20.00  1   0     4      2
#> Merc 230            22.8   4 140.8  95  3.92 3.150 22.90  1   0     4      2
#> Merc 280            19.2   6 167.6 123  3.92 3.440 18.30  1   0     4      4
#> Merc 280C           17.8   6 167.6 123  3.92 3.440 18.90  1   0     4      4
#> Merc 450SE          16.4   8 275.8 180  3.07 4.070 17.40  0   0     3      3
#> Merc 450SL          17.3   8 275.8 180  3.07 3.730 17.60  0   0     3      3
#> Merc 450SLC         15.2   8 275.8 180  3.07 3.780 18.00  0   0     3      3
#> Cadillac Fleetwood  10.4   8 472.0 205  2.93 5.250 17.98  0   0     3      4
#> Lincoln Continental 10.4   8 460.0 215  3.00 5.424 17.82  0   0     3      4
#> Chrysler Imperial   14.7   8 440.0 230  3.23 5.345 17.42  0   0     3      4
#> Fiat 128            32.4   4  78.7  66  4.08 2.200 19.47  1   1     4      1
#> Honda Civic         30.4   4  75.7  52  4.93 1.615 18.52  1   1     4      2
#> Toyota Corolla      33.9   4  71.1  65  4.22 1.835 19.90  1   1     4      1
#> Toyota Corona       21.5   4 120.1  97  3.70 2.465 20.01  1   0     3      1
#> Dodge Challenger    15.5   8 318.0 150  2.76 3.520 16.87  0   0     3      2
#> AMC Javelin         15.2   8 304.0 150  3.15 3.435 17.30  0   0     3      2
#> Camaro Z28          13.3   8 350.0 245  3.73 3.840 15.41  0   0     3      4
#> Pontiac Firebird    19.2   8 400.0 175  3.08 3.845 17.05  0   0     3      2
#> Fiat X1-9           27.3   4  79.0  66  4.08 1.935 18.90  1   1     4      1
#> Porsche 914-2       26.0   4 120.3  91  4.43 2.140 16.70  0   1     5      2
#> Lotus Europa        30.4   4  95.1 113  3.77 1.513 16.90  1   1     5      2
#> Ford Pantera L      15.8   8 351.0 264  4.22 3.170 14.50  0   1     5      4
#> Ferrari Dino        19.7   6 145.0 175  3.62 2.770 15.50  0   1     5      6
#> Maserati Bora       15.0   8 301.0 335  3.54 3.570 14.60  0   1     5      8
#> Volvo 142E          21.4   4 121.0 109  4.11 2.780 18.60  1   1     4      2