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Make missing

Source: R/make_missing.R
make_missing.Rd

Randomly make values missing in all data columns, or a subset of columns

Usage

make_missing(data, cols = NULL, messiness = 0.1, missing = NA)

Arguments

data

input dataframe

cols

set of columns to apply transformation to. If NULL will apply to all columns. Default NULL.

messiness

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

missing

A single value, vector, or list of what the missing values will be replaced with. If length is greater than 1, values will be replaced randomly. Default NA.

Value

a dataframe the same size as the input data.

Examples

make_missing(mtcars)
#>                      mpg cyl  disp  hp drat    wt  qsec vs am gear carb
#> Mazda RX4           21.0  NA 160.0 110 3.90    NA 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  NA 3.85 2.320 18.61  1 NA    4    1
#> Hornet 4 Drive      21.4   6 258.0 110   NA 3.215    NA NA  0    3    1
#> Hornet Sportabout   18.7   8 360.0 175 3.15 3.440 17.02  0  0    3    2
#> Valiant               NA   6 225.0  NA 2.76 3.460 20.22  1  0   NA    1
#> Duster 360          14.3   8 360.0 245   NA 3.570 15.84  0  0    3    4
#> Merc 240D           24.4   4    NA  62 3.69 3.190 20.00  1  0    4    2
#> Merc 230            22.8   4    NA  95 3.92 3.150    NA  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    NA  1  0    4    4
#> Merc 450SE          16.4   8 275.8 180 3.07 4.070 17.40 NA  0    3    3
#> Merc 450SL          17.3   8    NA 180 3.07 3.730 17.60  0  0    3    3
#> Merc 450SLC         15.2   8 275.8 180   NA 3.780 18.00  0  0    3    3
#> Cadillac Fleetwood  10.4   8 472.0 205   NA 5.250 17.98  0 NA    3    4
#> Lincoln Continental   NA   8 460.0 215 3.00 5.424 17.82  0  0    3    4
#> Chrysler Imperial   14.7   8    NA 230 3.23    NA 17.42  0  0    3    4
#> Fiat 128            32.4   4  78.7  66 4.08 2.200 19.47  1  1    4   NA
#> Honda Civic         30.4   4  75.7  NA 4.93 1.615 18.52  1  1    4   NA
#> Toyota Corolla      33.9  NA  71.1  65   NA 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   NA
#> 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   NA
#> Pontiac Firebird      NA   8 400.0 175 3.08 3.845 17.05 NA  0   NA    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  NA 120.3  91   NA 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    NA 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    NA 14.60  0  1    5    8
#> Volvo 142E          21.4   4 121.0 109 4.11 2.780 18.60  1  1    4    2