I have a dataframe in R that I want to plot in a faceted ggplot bar chart.
I use this code in ggplot:
ggplot(data_long, aes(x = partei, y = wert, fil
using the comments above I came up with this code:
names <- levels(unique(data_long$kat))
plist <- list()
plist[]
for (i in 1:length(names)) {
d <- subset(data_long,kat == names[i])
d$partei <- factor(d$partei, levels=d[order(d$wert),]$partei)
p1 <- ggplot(d, aes(x = partei, y = wert, fill = kat, width=0.75)) +
labs(y = "Wähleranteil [ % ]", x = NULL, fill = NULL) +
geom_bar(stat = "identity") +
facet_wrap(~kat) +
scale_y_continuous(limits=c(0, 100)) +
coord_flip() +
guides(fill=FALSE) +
theme_bw() + theme( strip.background = element_blank(),
panel.grid.major = element_line(colour = "grey80"),
panel.border = element_blank(),
axis.ticks = element_line(size = 0),
panel.grid.minor.y = element_blank(),
panel.grid.major.y = element_blank() ) +
theme(legend.position="bottom") +
scale_fill_brewer(palette="Set2")
plist[[names[i]]] = p1
}
do.call("grid.arrange", c(plist, ncol=4)
not as elegant though... but it gives this:
all nicely ordered descending :-)