Using the example given in the package.
Remove the grouping of Other Party, add group_other=TRUE, expect Other has a count of 'Other Party' 393, but result shows 3490.
library(tidyverse)
fct_count(gss_cat$partyid)
#> # A tibble: 10 x 2
#> f n
#> <fct> <int>
#> 1 No answer 154
#> 2 Don't know 1
#> 3 Other party 393
#> 4 Strong republican 2314
#> 5 Not str republican 3032
#> 6 Ind,near rep 1791
#> 7 Independent 4119
#> 8 Ind,near dem 2499
#> 9 Not str democrat 3690
#> 10 Strong democrat 3490
partyid2 <- fct_collapse(gss_cat$partyid,
missing = c("No answer", "Don't know"),
rep = c("Strong republican", "Not str republican"),
ind = c("Ind,near rep", "Independent", "Ind,near dem"),
dem = c("Not str democrat", "Strong democrat"),
group_other = TRUE
)
fct_count(partyid2)
#> # A tibble: 5 x 2
#> f n
#> <fct> <int>
#> 1 missing 155
#> 2 rep 2707
#> 3 ind 8942
#> 4 dem 6189
#> 5 Other 3490
Created on 2019-08-08 by the reprex package (v0.3.0)
Using the example given in the package.
Remove the grouping of Other Party, add group_other=TRUE, expect Other has a count of 'Other Party' 393, but result shows 3490.
Created on 2019-08-08 by the reprex package (v0.3.0)