> Here is the code I have tried.
The code has to work to be useful.
including the data read - which, because it is on your D: drive, clearly can't
be read..
But here are some comments and some base graphics code that should get you
started;
> As I mentioned below, would like to add the data labels into each box of mean
> value
#You'll need to calculate the mean values separately. A standard
boxplot doesn't include them
> AmbientTr <- read.csv("AmbientBatchbox.csv", stringsAsFactors = TRUE)
#Not possible
> str(AmbientTr)
> summary(AmbientTr)
#Not possible
> install.packages("ggplot2")
#Don;t need to do this every time
> library(ggplot2)
#And you don’t need it at all: you are using 'boxplot', which is in
base graphics
> boxplot(RTF~Batch,data=AmbientTr, ylim = c(0,30), main="RTF By Batch",
> xlab="Batch", ylab="RTF", col ="blue")
#Try assigning the result of boxplot to a variable, such as
bw.data <- boxplot(RTF~Batch,data=AmbientTr, ylim = c(0,30), main="RTF By
Batch",
xlab="Batch", ylab="RTF", col ="blue")
#Then you csan use that data to place labels etc. because boxplot returns the
stats for the boxes, and the locations
#are (by default) at 1:length()bw.data$names.
#For example, after the above plot:
with(bw.data, text(1:length(names), stats[3,], names, pos=1) #labels just below
the medians
#And for placing means on the plot:
RTFmeans <- with(AmbientTr, tapply(RTF, batch, mean))
points(1:length(RTFmeans), RTFmeans, pch=19)
text(1:length(RTFmeans), RTFmeans, paste(round(RTFmeans,0)), pos=3) #labels
just above the points
#... or something like that.
For a ggplot equivalent, you could try the ggplot mailing list; Google it to
find it.
S Ellison
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