similar to: Plot Data Points in boxplots

I was running solaris 10 6/06 with latest kernel patch on ultra 20 (x86) with two internal disks, the root with the OS (c1d0) as UFS and the userland data on c2d0s7 formatted as ZFS. An update made the system unusable and required reinstallation of the OS on c1d0 (solaris 6/06). I cannot figure out how to remount the second drive c2d0s7 which is formatted as ZFS. I have not created any ZFS

Hello, Apologies for the post here. I have read the R-Admin (learned a lot!) and searched the web for days, but still fail at compiling R on my Ultra 20 running solaris 10 x86 1/06. This is the tail of './configure' output: ..... checking for dlopen in -ldl... yes checking readline/history.h usability... no checking readline/history.h presence... no checking for readline/history.h... no

Hello, I hope there is a simple explanation for this. I have been using odfWeave with great satisfaction in R 2.5.0. Unfortunately, I cannot get beyond the following error message with a particular file. I have copied and pasted into new files and the same error pops up. It looks like the error is occurring before any of the R code is run (?). Any suggestions on how to track this down and fix

Hello, I apologize for the post if this is not the appropriate place. I have searched the R List archives and the Vanderbilt.edu website, but am not able to understand how to use the accrualReport.s and associated scripts available at the Vanderbilt site. It must be very simple, but I am at a loss for ideas. Any suggestions or pointers in the direction of examples? thanks very much. aric

Dear all, I am trying to learn lapply. I would like, as a test case, to try the lapply alternative for the Shadowlist<-array(data=NA,dim=c(dimx,dimy,dimmaps)) for (i in c(1:dimx)){ Shadowlist[,,i]<-i } ---so I wrote the following--- returni <-function(i,ShadowMatrix) {ShadowMatrix<-i} lapply(seq(1:dimx),Shadowlist[,,seq(1:dimx)],returni) So far I do not get same results

Hello, I apologize for the post as I am certainly overlooking a simple solution to my difficulties with getting a legend to print on a survplot from the rms package. I am plotting the following: survplot(survest(fita), n.risk=T, conf='none', cex.n.risk=.85, dots=T, col='gray10', lty=2) survplot(survest(fit), n.risk=F, conf='none', add=T) survplot(survest(fitb), n.risk=F,

What I want to do is create a horizontal bar chart matrix for a set of data that have a common set of variables (e.g., % of As, % of Bs, etc.) listed on the Y-axis and groups (e.g., Classes) on the X-axis. The key here is that the bars for each individual class plot are "centered" rather than left or right-justified. In archaeology plots similar to this are called battleship curves or

Dear all I would like to ask you if an assignment can be done inside a lapply statement. For example I would like to covert a double nested for loop for (i in c(1:dimx)){ for (j in c(1:dimy)){ Powermap[i,j] <- Pr(c(i,j),c(PRX,PRY),f) } } to something like that: ij<-expand.grid(i=seq(1:dimx),j=(1:dimy)) unlist(lapply(1:nrow(ij),function(rowId) { return

Dear R-users I hope someone could help me on this problem. I want to create a multiple kiteChart showing the real values with a scalebar on each indicating the scale . Here are some sample data to show what I want to achieve. Y <- read.table(textConnection("Sample1 Sample2 60 20 150 50 300

Hi, I do not have much R experience just the basics, so please excuse any obvious questions. I would like to create bubble plot that have Categorical data on the x and y axis and then the diameter if the bubble the value related to x and y. Attached to the email is a pic of what I would like to do. I do hope someone can help me. -- Regards/Groete/Mit freundlichen Gr??en/recuerdos/meilleures

hi, I have been trying to do this in R (have implemented it in Excel) but I have been using a very inefficent way (loops etc.). I have matrix A (columns are years and ages are rows) and matrix B (columns are birth yrs and rows are ages) I would like to first turn matrix A into matrix B And then I would like to convert matrix B back again to the original matrix A. (I have left out details of

Dear R devel, Apologies for these (most probably trivial) questions, doing my first attempt to call C from R (and actually learning C in the process). I need to pass a matrix to C, and after reading R-exts.pdf (many times), I was unable to find how to handle matrices at C-level... except for, what probably is the answer, that matrices are in fact vectors with dimensions. This is a sample code I

I am attempting to install the Hmisc, rreport and Design packages, but am not able to do so. I am running R v1.9.1 on Mac OS 10.3.5. I have tried installation using both the GUI version of R and also running R from sudo in a terminal session. In the terminal I receive the following error: * Installing *source* package 'Design' ... ** libs g77 -fno-common -g -O2 -c lrmfit.f -o

Hi, I'm working on some lattice wireframe figures that have two conditioning factors, and I want the strips labelled on the top and left of the entire plot, rather than above each individual panel. useOuterStrips() does this, but it draws internal axis lines, even after I explicitly set axis.line to 0. Is there a way to use useOuterStrips but without axis boxes? I've included a short

Hello everyone, I am using ggplot to plot but I am getting the following error which I do not understand Error: geom_text requires the following missing aesthetics: label My code is dimx<-256 library(ggplot2) dev.new() xandy<-expand.grid(seq(1:dimx),seq(1:dimy)) xx<-data.frame(xandy[[1]],xandy[[2]],Powermap=Powermap) subsetxx<-subset(xx, xx$Powermap>threshold)

I've searched the archives and read the xyplot help but can't figure out the 2 lattice questions below? Consider: library(lattice) DF <- data.frame(x=rnorm(20), y=rnorm(20), g1=rep(letters[1:2], 10), g2=rep(LETTERS[1:2], each=10), g3=rep(rep(letters[3:4],each=5),2)) xyplot(y ~ x | g1 + g2, groups=g3, data=DF) 1) Is there a way to get one strip per row and column

Dear all with image I can plot only one set of values in one plot. Do somebody have any insight how to put those 2 matrices into one picture so that in one cell in image picture are both values from mat[1,1] and mat2[1,1]. mat<-matrix(1:4, 2,2) mat2<-matrix(4:1,2,2) x <-1:2 y <-1:2 image(x, y, mat) image(x, y, mat2) The only way I found is to mix x or y for both matrices let

Dear all I have the following time stamps (in the following format) MeasurementSet$TimeStamps        [,1] [,2] [,3] [,4] [,5]   [,6]   [1,] 2011    7    2   13   43 48.718   [2,] 2011    7    2   13   43 54.281   [3,] 2011    7    2   13   43 59.843   [4,] 2011    7    2   13   44  5.390   [5,] 2011    7    2   13   44 10.859   [6,] 2011    7    2   13   44 16.375   [7,] 2011    7    2   13   44

Apologies if this is not the best list on which to ask for help. I have compiled R 2.6.0 using Sun Studio 12 compilers. I can install most CRAN and bioconductor packages that I need, with the exception of RSQLite. Unfortunately this is critical for other packages that I need. I have tried to compile it using R CMD INSTALL to generate a config.log file. I don't know how to fix the reported

Why will the following command not work sapply(objects(),dim) What does it say about the objects list? What does it say about the dim command? Likewise, the following also does not work all<-ls() for (f in all) print(dim(f)) -- Farrel Buchinsky [[alternative HTML version deleted]]