This question follows from this other one. I was unable to implement answers there.
Define:
df2 <- data.frame(variable=rep(c("vnu.shr","vph.shr"),each=10), value=seq(1:20))
Plot:
require(ggplot2) qplot(variable,value, data=df2,geom="boxplot")+ geom_jitter(position=position_jitter(w=0.1,h=0.1))
I would like to have the boxplots in the reverse order (e.g. one in right on left and so on).
I have tried various ways of reordering the factors using levels
, ordered
, relevel
, rev
and so on, but I simply cannot seem to get the syntax right.
The format is boxplot(x, data=), where x is a formula and data= denotes the data frame providing the data. An example of a formula is y~group where a separate boxplot for numeric variable y is generated for each value of group.
The use of jitter is a great technique in dot plots, box plots with dots, and scatter plots. Jitter is a random value (or for our purposes pseudo-random) that is assigned to the dots to separate them so that they aren't plotted directly on top of each other.
The boxplot compactly displays the distribution of a continuous variable. It visualises five summary statistics (the median, two hinges and two whiskers), and all "outlying" points individually.
Have you tried this:
df2$variable <- factor(df2$variable, levels = c('vph.shr','vnu.shr'),ordered = TRUE)
I just picked an ordering there, since my system is configured slightly differently than yours I suspect, so my 'default ordering' may differ. But you can just switch the position of levels when specifying them.
A few other options, depend on your tastes:
For just reversing the current ordering:
factor(df2$variable,levels = rev(levels(df2$variable)),ordered = TRUE)
or you can use subsetting to specify a specific ordering if you don't want to type out each level by hand:
factor(df2$variable,levels = levels(df2$variable)[1:2],ordered = TRUE)
You've already accepted a (perfectly fine) solution, but here's another option using relevel()
. I'm not sure why it wasn't working for you?
#default plot ggplot(df2, aes(variable, value)) + geom_boxplot()
#Reverse reverse! df2$variable2 <- with(df2, relevel(variable, "vph.shr")) ggplot(df2, aes(variable2, value)) + geom_boxplot()
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