This question has been answered here:
Here is the code:
ggplot(l, aes(x=year, y=annual_chg, fill=income,color=income))
geom_col(position = "identity", alpha = 1/2,colour= "black")
facet_wrap(~Class,nrow=1)
theme_classic() xlab(NULL) ylab(NULL)
theme(
legend.text = element_text(color = "white"),
legend.title = element_text(color = "white"),
legend.key = element_rect(fill = "white"))
guides(fill = guide_legend(override.aes= list(alpha = 0)),
colour = guide_colorbar(override.aes = list(alpha=0)))
Here is the data:
df=structure(list(year = c(2018, 2018, 2018, 2018, 2018, 2018, 2018,
2018), annual_chg = c(-0.66, 0.34, 0.59, 1.54, -0.26, 0.49, 0.66,
1.62), Class = structure(c(4L, 3L, 2L, 1L, 4L, 3L, 2L, 1L), .Label = c("Upper-middle class",
"Middle class", "Skilled working class", "Low-skilled working class"
), class = "factor"), income = c("gross income", "gross income",
"gross income", "gross income", "net income", "net income", "net income",
"net income")), row.names = c(NA, -8L), class = c("tbl_df", "tbl",
"data.frame"))
CodePudding user response:
You can use theme(legend.key=element_rect(colour="white"))
.
library(ggplot2)
ggplot(df, aes(x=year, y=annual_chg, fill=income,color=income))
geom_col(position = "identity", alpha = 1/2,colour= "black")
facet_wrap(~Class,nrow=1)
theme_classic() xlab(NULL) ylab(NULL)
theme(
legend.text = element_text(color = "white"),
legend.title = element_text(color = "white"),
legend.key = element_rect(fill = "white"))
guides(fill = guide_legend(override.aes= list(alpha = 0, color = "white")))
theme(legend.key=element_rect(colour="white"))