bfoste01 bfoste01 - 5 months ago 27
R Question

dplyr to create aggregate percentages of factor levels

How do I use dplyr to create proportions of a level of a factor variable for each state? For example, I'd like to add a variable that indicates the percent of females within each state to the data frame.

# gen data
state <- rep(c(rep("Idaho", 10), rep("Maine", 10)), 2) <- sample(1:1000,8,replace=T)
gender <- rep( c("Male","Female"), 100*c(0.25,0.75) )
gender <- sample(gender, 40) <- data.frame(, state, gender)

Here's an attempt that I know is wrong, but gets me access to the information:

middle %>%
group_by(state, gender %in%c("Female")) %>%
summarise(count = n()) %>%
mutate(test_count = count)

I have a hard time with the count and mutate functions, which makes it hard to get much further. It doesn't behave as I'd expect.


To add a new column to your existing data frame: %>% 
    group_by(state) %>%
    mutate(pct.female = mean(gender == "Female"))

Use summarize rather than mutate if you just want one row per state rather than adding a column to the original data. %>%
   group_by(state) %>%
   summarize(pct.female = mean(gender == "Female"))
# # A tibble: 2 x 2
#    state pct.female
#   <fctr>      <dbl>
# 1  Idaho       0.75
# 2  Maine       0.70