search for: outpch

I'd like to suggest changes to three help pages, regarding the use of pch=NA to suppress plotting symbols. See below. Arni R 2.0.1 on WinXP === help(bxp) === The argument outpch=" " needs to be replaced with outpch=NA in two places. I actually wrote this part of the documentation myself at one point, but have now realized that pch=NA and pch=" " are not the same: x <- split(rlnorm(26e4), letters) ## NA generates small file postscript(&quo...

I'd like to iterate my earlier request (#7737) to change the documentation for bxp(). The argument outpch=" " needs to be replaced with outpch=NA in two places. I actually wrote this part of the documentation myself at one point, but have now realized that pch=NA and pch=" " are not the same: x <- split(rlnorm(26e4), letters) ## NA generates small file postscript(&quo...

...,5,4,4,7,4,7,7,4,16,4,3,12,4,3,10,27,4,14,7,10,4,9,8,3,5,3,8,5,2,8,38,3,3,3,4); 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="oran...

...tput of my bwplot-output. Altogether I figured most of the things out on my own. The one thing which puzzles me though are the symbols for the outliers. I can easily change the form of the median symbol by using "pch" but I don't know how to do this for outliers. Obviously the "outpch" of the "bxp"-function is not implemented. Any clue how to do this? Any documentation reference at hand? cheers Vincent [[alternative HTML version deleted]]

Hey, Here is a snippet that generated a boxplot and separates points so that they do not overlap. I have a problem to avoir text overlapping. Any help would be helpful. > attach(InsectSprays) boxplot(count ~ spray, data = InsectSprays, outpch = NA) stripchart(count ~ spray, data = InsectSprays, vertical = TRUE, method = "jitter", pch = 21, col = "maroon", bg = "bisque", add = TRUE) text(count ~ spray , row.names(InsectSprays), pos=4,cex=0.6) detach(InsectSprays) thanks...

Hi, I am new in R and would like to dot plot my real data points from different categories and put box plot overlapping. To give a feeling of the distribution of my data and the real values. I managed to that in excel but it takes a lot of time and it makes the program crash quite often! http://n4.nabble.com/file/n2134530/Excelversion.jpg I managed to get a box plot and a dot plot of my three

dear all, could somebody tell me how I can plot mild outliers as a circle(?) and extreme outliers as an asterisk(*) in a box-whisker plot? Thanks very much in advance -- View this message in context: http://www.nabble.com/mild-and-extreme-outliers-in-boxplot-tp25040545p25040545.html Sent from the R help mailing list archive at Nabble.com.

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 :

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

http://www.nabble.com/file/p14668788/paragraphs.png Hi, R is is world full of wonders... I created the attached plot, and I think it's exactly what I need! Well, actually I think it is more that wht I need... I wanted R to show the mean values of the categories on the x-axis and maybe the standard derivation as well. I am pretty confident that the bold horrizontal lines in the plot show