similar to: pch with plot and legend

Hi all, I I need to manipulate the x axis in a stripchart. I will use one of the data sets included in R to explain what I need to do. attach(ToothGrowth) stripchart(len[supp=='VC']~dose[supp=='VC'], vertical=TRUE, group.names=c('A','A','A')) stripchart(len[supp=='OJ']~dose[supp=='OJ'], add=TRUE, vertical=TRUE, at=c(1:3)+.1,

Thank you for your guys reply for my previous question. But I got one more question about the boxplot. With the code in the R-help: boxplot(len ~ dose, data = ToothGrowth, boxwex = 0.25, at = 1:3 - 0.2, subset = supp == "VC", col = "yellow", main = "Guinea Pigs' Tooth Growth", xlab = "Vitamin C dose mg", ylab =

Dear List, ? I am creating a boxplot with two subsets, very similar to the example by Roger Bivand at ?boxplot (reproduced below).? I am trying to change the labels on the x-axis to have one number to cover both subsets.? I can do this in other plots by using axis=FALSE followed by a separate axis() command.? I have also tried variations in the names= argument but can't get it to work.?

Dear list, How can I add the mean and standard deviation to each of the boxplots using the example provided in the boxplot function? boxplot(len ~ dose, data = ToothGrowth, boxwex = 0.25, at = 1:3 - 0.2, subset = supp == "VC", col = "yellow", main = "Guinea Pigs' Tooth Growth", xlab = "Vitamin C dose mg",

Hello all, I've put together a quick and dirty menubar + dialogs + spreadsheet GUI for R using the RGtk package. Performance is not great (OOP is a real memory hog?), the design may be worse, but the hope is that it will be useful in an introductory stats course while we await the arrival of a real gui with ObveRsive and SciViews. The package can be found at

Hello all, I've put together a quick and dirty menubar + dialogs + spreadsheet GUI for R using the RGtk package. Performance is not great (OOP is a real memory hog?), the design may be worse, but the hope is that it will be useful in an introductory stats course while we await the arrival of a real gui with ObveRsive and SciViews. The package can be found at

For what it is worth, here are my experiences. When I first got my zaurus I compiled R version 1.4.0 for the it. It took some time to do, but managed with the skiffclusters at familiar.org. (libf2c was the hardest part). Compilation should be easier now that there are onboard compilers but I haven't tried. I thought this would be neat to have in the classroom. (It did get one student to buy

Hello, I am trying to make a package for windows using my linux installation of R. I tried to make the package by first using R CMD build (under linux) to create a tar.gz package. Then I uncompressed and rearchived as a zip package. After installing this under windows, the data files work fine, but the R files aren't seen under windows. Is there some easy way to create a working zip package

Hi, sorry for bothering your guys. I will trying to make some nice graph using boxplot. when I check the help file of boxplot, there is a sample code as: boxplot(len ~ dose, data = ToothGrowth, add = TRUE, boxwex = 0.25, at = 1:3 + 0.2, subset = supp == "OJ", col = "orange") legend(2, 9, c("Ascorbic acid", "Orange juice"),

Dear all How does one resolve the variance between the actual availability of data sets in the default implementation with those mentioned in the documentation? I am unable to attach some of the datasets, even though help() is available for the same datasets. For example, "ToothGrowth" is a dataset that is widely mentioned in the documentation as being part of the base install.

Dear All, The latest issue of The R Journal is now available at: https://journal.r-project.org/archive/2018-2/ Many thanks to all contributors - especially reviewers and authors. Regards, John Verzani CUNY/College of Staten Island -- John Verzani Department of Mathematics College of Staten Island, CUNY verzani at math.csi.cuny.edu [[alternative HTML version deleted]]

Dear All, The latest issue of The R Journal is now available at: https://journal.r-project.org/archive/2018-2/ Many thanks to all contributors - especially reviewers and authors. Regards, John Verzani CUNY/College of Staten Island -- John Verzani Department of Mathematics College of Staten Island, CUNY verzani at math.csi.cuny.edu [[alternative HTML version deleted]]

Is it possible to add standard error bars to the means on interaction plots? Thanks Murray -- Murray Pung Statistician, Datapharm Australia Pty Ltd 0404 273 283 [[alternative HTML version deleted]]

Hi to all, Does anybody knows why this is giving an error? data(ToothGrowth) # Two-way design with options bargraph.CI(dose, len, group = supp, data = ToothGrowth, xlab = "Dose", ylab = "Growth", cex.lab = 1.5, x.leg = 1, col = "black", angle = 45, cex.names = 1.25, density = c(0,20), legend = TRUE) Error in dn.call[[1]] :

For those who are interested, I've finished release of 0.4 of pmg and have placed it on my website at http://www.math.csi.cuny.edu/Statistics/R/pmg. The pmg package provides some GUI elements using the RGtk package and friends: RGtk, OOP, RGtkExtra, RGtkHTML, RGdkPixbuf, RGtkViewers and REventLoop from www.omegahat.org and gtkDevice from CRAN. (These require a form of UNIX such as linux, OS

Dear John, Actually, I was using gWidgetsRGtk2. The solution you suggest works fine. Thank you very much. Best regards. Olivier -- ____________________________________ Olivier G. Nuñez Email: onunez en iberstat.es Tel : +34 663 03 69 09 Web: http://www.iberstat.es ____________________________________ El 27/05/2009, a las 17:28, John Verzani escribió: > Dear Olivier, > > I

Dear all I have written a function to perform a very simple but useful task which I do regularly. It is designed to show how many values are missing from each variable in a data.frame. In its current form it works but is slow because I have used several loops to achieve this simple task. Can anyone see a more efficient way to get the same results? Or is there existing function which does

Hi folks, Win7 64bit R 1.12.0 I run following command on R:- > ToothGrowth > attach(ToothGrowth) > plot(dose,len) > matrics=lm(len~dose) > abline(metrics) Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : plot.new has not been called yet Only a grey diagram is displayed without content > plot(abline(metrics)) Error in int_abline(a = a, b = b, h = h, v

Kaiya Liu wrote: > > Hi, > > I encountered a problem when I did interaction plots using the > interaction.plot() function. The labels for the trace factor appeared on > the plot when I did the plots in separate windows, but disappeared/cut off > when multiple plots were placed in one window. Can anybody help me? >From the example of ?interaction.plot: data(ToothGrowth)

This relates to a message from Christophe Pallier to r-help some time ago. Like myself, he finds aggregate very useful, but the interface a little cumbersome. I've implemented a more compact formula interface, found at the bottom of this message: data(ToothGrowth) # I used to aggregate like this: aggregate(list(len=ToothGrowth$len),