Here is my script (example inspired from here and using the reorder
option from here):
library(ggplot2)
Animals <- read.table(
header=TRUE, tex
Define new data frame with all combinations of "Category" and "Reason", merge with data of "Species" from data frame "Animals". Adapt ggplot by correct scale_x_discrete:
Animals3 <- expand.grid(Category=unique(Animals$Category),Reason=unique(Animals$Reason))
Animals3 <- merge(Animals3,Animals,by=c("Category","Reason"),all.x=TRUE)
Animals3[is.na(Animals3)] <- 0
Animals3 <- Animals3[order(Animals3$Category,-Animals3$Species),]
ggplot(Animals3, aes(x=Animals3$Reason, y=Species, fill = Category)) + geom_bar(stat="identity", position = "dodge") + scale_x_discrete(limits=as.character(Animals3[Animals3$Category=="Decline","Reason"]))