Update: As of ggplot2 2.2.0, stacking for negative values is handled automatically, without having to create separate layers for the positive and negative values. If I understand what you’re looking for, the trick is to put the two positive and negative data in separate layers, and also to use stat = “identity”: dat <- read.table(text … Read more
You can provide a vector of colors to the axis.text.x option of theme(): a <- ifelse(data$category == 0, “red”, “blue”) ggplot(data, aes(x = x, y = y)) + geom_bar(stat = “identity”, aes(fill = category)) + theme(axis.text.x = element_text(angle = 45, hjust = 1, colour = a))
Posting as answer because comment thread getting long. You have to specify the order by using the factor levels of the variable you map with aes(x=…) # lock in factor level order df$derma <- factor(df$derma, levels = df$derma) # plot ggplot(data=df, aes(x=derma, y=prevalence)) + geom_bar(stat=”identity”) + coord_flip() Result, same order as in df: # or, … Read more
Ok, so all philosophizing aside, and in case anyone is interested, here is an ugly hack to do it. The idea is to use different labels (think paste(period, name) except I replace the period into 0-space, 1-space, etc. so that they don’t show). I need this plot and I don’t want to arrange grobs and … Read more
If you want all the bars to get the same color (fill), you can easily add it inside geom_bar. ggplot(data=df, aes(x=c1+c2/2, y=c3)) + geom_bar(stat=”identity”, width=c2, fill = “#FF6666”) Add fill = the_name_of_your_var inside aes to change the colors depending of the variable : c4 = c(“A”, “B”, “C”) df = cbind(df, c4) ggplot(data=df, aes(x=c1+c2/2, y=c3, … Read more
You said : Maybe my data.frame is not in a good format? Yes this is true. Your data is in the wide format You need to put it in the long format. Generally speaking, long format is better for variables comparison. Using reshape2 for example , you do this using melt: dat.m <- melt(dat,id.vars = … Read more