r - How to draw a ggplot2 with facet_wrap, showing percentages from each group, not overall percentages? -


i'd draw ggplot facet_wrap, doesn't show actual table percent, percent of given answer in each group. have this, because want show, answer selected , important each group. groups don't have same size.

example data:

group <- c(rep(c("group1"), times = 10),rep(c("group2"), times = 6),rep(c("group3"), times = 4)) choice <- c(rep(c("a","b","c"),length.out = 10), "a","a","a","a","b","c","b","b","b","c") df <- data.frame(cbind(group,choice))

it nice, if not use overall prop.t, prop.c show in plot, because important show, example 66.67% of group 2 prefers choice a.

library(gmodels) crosstable(choice, group, prop.chisq=false, prop.t = true, prop.c = true, prop.r = false, format = "spss")

this plot:

library(ggplot2) g <- ggplot(df, aes_string(x="group", fill="group")) +             geom_bar(aes(y = (..count..)/sum(..count..)))+             ylab("percent") g + facet_wrap(~ choice)

this how looks far

now first bar show: 20%, 20%, 0%, should show 40%, 66.67% , 0% (the percent of each person in group, gave answer).

for second bar should show: 30%, 16.667% , 75%.

and third bar: 30%, 16.667% , 25%

thank help.

it's better calculate percentages beforehand:

library(dplyr) dfl <- df %>%    group_by(group,choice) %>%    summarise(n=n()) %>%    group_by(group) %>%    mutate(perc=100*n/sum(n))  ggplot(dfl, aes(x=group, y=perc, fill=group)) +   geom_bar(stat="identity") +   ylab("percent") +    facet_wrap(~ choice)

this gives: enter image description here

another (and better) way of presenting data use facets group:

ggplot(dfl, aes(x=choice, y=perc, fill=choice)) +   geom_bar(stat="identity") +   ylab("percent") +    facet_wrap(~ group)

this gives: enter image description here


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