I've made two bar plot (one for women, one for men that represent my two data set) for each age groupe (variable 1) regarding their relational status (variable 2). However, i can't ad a simply legend whose title would be "Sex" and which, for each colour of the two bar plots, would give the corresponding sex modality ("man" and "woman")
Here is my code :
library(tidyverse)
library(scales)
age10 <- c("18-34","35-54", "55 ", "55 ","35-54","18-34","18-34","35-54","35-54","35-54")
relation <- c("stable","non stable", "stable", "stable", "stable", "stable", "non stable", "non stable", "stable", "stable")
sexe <- c("woman", "woman", "man", "man", "woman", "man", "woman", "man", "woman", "woman")
df <- data.frame(age10,relation,sexe)
df_woman <-
df %>%
filter(sexe != "man")
dff_woman <-
df_woman %>%
group_by(age10, relation) %>%
summarise(n = n()) %>%
mutate(pct = n / sum(n), relation = str_squish(relation)) %>%
filter(relation == "stable")
df_man <-
df %>%
filter(sexe != "woman")
dff_man <-
df_man %>%
group_by(age10, relation) %>%
summarise(n = n()) %>%
mutate(pct = n / sum(n), relation = str_squish(relation)) %>%
filter(relation == "stable")
ggplot()
geom_bar(data = dff_man, aes(fill = relation, y = pct, x = age10, color = "man"),
stat = "identity", fill = "#99d8c9", width = 0.4, position=position_nudge(x = 0.2))
geom_bar(data = dff_woman, aes(fill = relation, y = pct, x = age10, color = "woman"),
stat = "identity", fill = "#bcbddc", width = 0.4, position=position_nudge(x = -0.2))
scale_y_continuous(label = percent)
facet_wrap(~relation)
labs(
x = "Age group", y = "Percentage")
expand_limits(y = 1)
theme(text = element_text(family = "Times New Roman"))
I don't want the outline of my bars to be coloured, but the caption should refer to the colour of the bars I've search for answer here :