Anonymise factor levels

Replaces factor levels with arbitary numeric identifiers. Neither the values nor the order of the levels are preserved.

fct_anon(f, prefix = "")

Arguments

f	A factor.
prefix	A character prefix to insert in front of the random labels.

Examples

gss_cat$relig %>% fct_count()
#> # A tibble: 16 x 2
#>    f                           n
#>    <fct>                   <int>
#>  1 No answer                  93
#>  2 Don't know                 15
#>  3 Inter-nondenominational   109
#>  4 Native american            23
#>  5 Christian                 689
#>  6 Orthodox-christian         95
#>  7 Moslem/islam              104
#>  8 Other eastern              32
#>  9 Hinduism                   71
#> 10 Buddhism                  147
#> 11 Other                     224
#> 12 None                     3523
#> 13 Jewish                    388
#> 14 Catholic                 5124
#> 15 Protestant              10846
#> 16 Not applicable              0
gss_cat$relig %>% fct_anon() %>% fct_count()
#> # A tibble: 16 x 2
#>    f         n
#>    <fct> <int>
#>  1 01    10846
#>  2 02     3523
#>  3 03     5124
#>  4 04       95
#>  5 05       23
#>  6 06      689
#>  7 07       15
#>  8 08      147
#>  9 09       32
#> 10 10      388
#> 11 11        0
#> 12 12      109
#> 13 13       93
#> 14 14      104
#> 15 15      224
#> 16 16       71
gss_cat$relig %>% fct_anon() %>% fct_count()
#> # A tibble: 16 x 2
#>    f         n
#>    <fct> <int>
#>  1 01      147
#>  2 02      689
#>  3 03       71
#>  4 04      104
#>  5 05       15
#>  6 06       95
#>  7 07     5124
#>  8 08     3523
#>  9 09    10846
#> 10 10        0
#> 11 11       93
#> 12 12       23
#> 13 13       32
#> 14 14      388
#> 15 15      109
#> 16 16      224
gss_cat$relig %>% fct_anon("X") %>% fct_count()
#> # A tibble: 16 x 2
#>    f         n
#>    <fct> <int>
#>  1 X01      95
#>  2 X02     689
#>  3 X03     388
#>  4 X04     104
#>  5 X05      23
#>  6 X06      93
#>  7 X07     147
#>  8 X08      32
#>  9 X09   10846
#> 10 X10     109
#> 11 X11     224
#> 12 X12    3523
#> 13 X13    5124
#> 14 X14       0
#> 15 X15      15
#> 16 X16      71