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...,4,3,12,4,3,10,27,4,14,7,10,4,9,8,3,5,3,8,5,2,8,38,3,3,3,4); plot(x=c(1,2),y=rep(1,2),ylim=range(data),xlim=c(0.5,2.5),type="n",main=c("Adjusted boxplot vs. Classical boxplot"),ylab=c("Loss Data"),xlab=c(""),axes=F) adjbox(x=datac,pars=list(outpch=16,outcex=2,outcol="light blue"),add=T,at=1,col="light blue") boxplot(x=datac,pars=list(outpch=16,outcex=2,outcol="light green"),add=T,at=2,col="light green") axis(2,at=seq(0,max(data)+10,by=10),col="orange",labels=F) axis(1,at=c(1,2),col="orange",labels=c(&...

Dear all, I am a total beginner in R, so sorry if this is the wrong place. I am using R 2.10.1 on a Mac (Mac OS 10.6.2). I have this small dataset : growth sugar 75 C 72 C 73 C 61 F 67 F 64 F 62 S 63 S I have no problem reading the table, or getting the summary, but if I try boxplot(growth~sugar, ylab="growth", xlab="sugar", data=Dataset), I have the following error :

Hi, I am trying to color the data points on my boxplot but I only get the default black. Not sure why. Any ideas? Thank you, Mark Here is my code. > dat.g100 <- dat.sg[100,] # selected gene (row) from a dataframe of 37 columns > d1 <- as.matrix(dat.g100[,1:18]) # subset 1 > d2 <- as.matrix(dat.g100[,19:37]) # subset 2 # boxplots > par(mfrow=c(2,1)) > boxplot(d1,

Hi all, Is there a way to change the color of the boxplot plots outliers? Thanks. Hanna [[alternative HTML version deleted]]

dear R experts: I am playing with boxplots for the first time. most of it is intuitive, although there was less info on the web than I had hoped. alas, for some odd reason, my R boxplots have some fat black dots, not just the hollow outlier plots. Is there a description of when R draws hollow vs. fat dots somewhere? [and what is the parameter to change just the size of these dots?] Also, let

Hello, I would like to plot my data in a fashion similar to a boxplot, but plot the true data points without a box, just overlay lines of the summary generated by the boxplot. I have less than 10 observations within each group, so I think showing the actual data would be more effective than the box of the boxplot. I have been unable to find a way to do this. Here is example data: >