[R] Calculate weighted proportions for several factors at once

[Striessnig, Erich]

Hi,

I have a grouped data set and would like to calculate weighted proportions for a large number of factor variables within each group member. Rather than using dplyr::count() on each of these factors individually, the idea would be to do it for all factors at once. Does anyone know how this would work? Here is a reproducible example:

############################################################
# reproducible example
df1 <- data.frame(wt=rnorm(90),
                  group=paste0('reg', 1:5),
                  var1=rep(c('male','female'), times=45),
                  var2=rep(c('low','med','high'), each=30)) %>% tbl_df()

# instead of doing this separately for each factor ...
df2 <- df1 %>%
  group_by(group) %>%
  dplyr::count(var1, wt=wt) %>%
  mutate(prop1=n/sum(n))

df3 <- df1 %>%
  group_by(group) %>%
  dplyr::count(var2, wt=wt) %>%
  mutate(prop2=n/sum(n)) %>%
  left_join(df2, by='group')

# I would like to do something like the following (which does of course not work):
my_fun <- function(x,wt){
  freq1 <- dplyr::count(x, wt=wt)
  prop1 <- freq1 / sum(freq1)
  return(prop)
}

df1 %>%
  group_by(group) %>%
  summarise_all(.funs=my_fun(.), .vars=c('var1', 'var2'))
############################################################

Best regards,
Erich

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