similar to: Stacked density plots

Hi R-Users, I posted this question a while ago on the bioconductor mailing list but got no answers. Maybe here is somebody who might know a solution: I failed at drawing multiple filters in a densityplot() using the FlowCore/FlowViz packages. I found a way to draw multiple filters in xyplot(), using the glpolygon method within the panel-function, but some similar attempts for densityplot

Hello, I am try to make a density plot where plots are stacked like the one found here: http://dsarkar.fhcrc.org/lattice/book/images/Figure_14_03_stdBW.png I am facing problems, however. Using the code example below, I'd like to generate a separate panel for each val of id2. Within each panel, I'd like to have individual histograms each on separate lines based on the value of id1. ?Note

R 2.8.1 Windows XP I am trying to plot the results of a coxph using plot(survfit()). The plot should, I believe, show two lines one for survival in each of two treatment (Drug) groups, however my plot shows only one line. What am I doing wrong? My code is reproduced below, my figure is attached to this EMail message. John > #Create simple survival object >

On Thu, 29 Jan 2009 20:55:19 +0100 r-help-request at r-project.org wrote: > Welcome to the R-help at r-project.org mailing list! > > To post to this list, send your email to: > > r-help at r-project.org > > General information about the mailing list is at: > > https://stat.ethz.ch/mailman/listinfo/r-help > > If you ever want to unsubscribe or change your

Dear R users: Analysis of the impact of a time-dependent covariate (GVHD or use of steroid after bone marrow transplantation) on two competing endpoints (invasive fungal infection and death) is frequently encountered in the setting of BMT data. Coxph package can be used as the following: for the analysis of GVHD: > gvhd -> coxph(Surv(start,stop,status = =1) ~ GVHD, data=bmt.data)

Dear R users: Analysis of the impact of a time-dependent covariate (GVHD or use of steroid after bone marrow transplantation) on two competing endpoints (invasive fungal infection and death) is frequently encountered in the setting of BMT data. Coxph package can be used as the following: for the analysis of GVHD: > gvhd -> coxph(Surv(start,stop,status = =1) ~ GVHD, data=bmt.data)

Hi there, I want to generate different samples using the followindg code: g<-sample(LETTERS[1:2], 24, replace=T) How can I specify that I need 12 "A"s and 12 "B"s? Thank you, Judith ____________________________________________________________________________________ Be a better friend, newshound, and

Hi, the first attached patch extends the argument parsing code to allow (shell like) spaces. A config like LABEL BIOSupdate KERNEL dmiselect.c32 APPEND "ESPRIMO P5925" "memdisk initrd=/dos/FSC-E5925.img raw" will result in args[]: ESPRIMO P5925 memdisk initrd=/dos/FSC-E5925.img raw instead of (current code): "ESPRIMO P5925" "memdisk

Hi all, I'm trying to get a vertical line at a specific point in a densityplot. abline seems to be what's required, but it doesn't align itself to the scale used in the plot. example: library(lattice) x<-rnorm(100) plot.new() densityplot(x) abline(v=0) ----- The line seems to use some other coordinate system. What kind of call do I use to make abline use the graph's

I'm trying to use a lattice function within a function and have problems passing the "groups" argument properly. Let's say I have a data frame d <- data.frame(x = rnorm(100), y = c("a", "b")) and want to plot variable x in a densityplot, grouped by the variable y, then I would do something like densityplot(~ x, d, groups = y) If however I wanted to

Hi, I have created two separate overlapping density plots- see example code below. What I wish now to do is combine them into one figure where they sit side by side. Any help would be great! many thanks in advance, josh. ##################### thedataA <- data.frame(x1=rnorm(100,1,1),x2=rnorm(100,3,1)) #create data thedataA.m<-melt(thedataA) densityplot(~value, thedataA.m,

Hello dear R-helpers, I haven't been able to figure out of find a solution in the R-help archives about how to delete all the characters contained in groups of parenthesis. I have a vector that looks more or less like this: myvector<-c("something (80 km/h, sd) & more (6 kg/L,sd)", "somethingelse (48 m/s, sd) & moretoo (50g/L , sd)") I want to extract all

Hi, I have the following script: ---- t.R --- grafica <- function() { v <- read.csv('preprocessed/komolongma.ece.uprm.edu.active',sep=',') x <- as.ts(v$active) bitmap(file="output.png") densityplot(~x,col='blue',main='Density Plot') dev.off() } grafica() ---- t.R --- When I "sourced" it from R prompt, it quietly runs.

Hi All, I'm trying to add a 'rug' representation of my data to a plot created with densityplot(). While I can do this in the simple case, I can't do it properly when I include the "groups" argument. I have an example below. I am running a reasonably new version of R. print(sessionInfo()) R version 2.12.0 Patched (2010-11-07 r53537) Platform: i686-pc-linux-gnu

hi, after installing R-2.6.0 the function "names" doesn't work anymore on my windows xp machine. for example for a simple vector i get > z <- 1:3 > names(x) Error in UseMethod("name"): no applicable method for "names" ... instead of NULL. the same is true for lists and dataframes. attr(z, "names") is a workaround, but i don't want to

Hi Dear R users, For a pair plotting, usaully we use par( ) function. Apparently it does not work anywhere. I want to have 3 plots in a single figure, like this: par(mfrow=c(3,1)) densityplot( a) densityplot(b) densityplot(c) But it does not work. How is it possible to have such a figure with densityplot( ) in a single figure? So many thanks for any help. Amir Safari

Hi folks, This is really minor but to someone not familiar with the various tentacles of the lmer package it could be really annoying. I was trying to plot the posterior density of the fixed effect parameters of a lmer model, > hr.mcmc = mcmcsamp(hr.lmer, n=50000) > densityplot(hr.mcmc, plot.points=F) There is this error, "Error in densityplot(hr.mcmc, plot.points = F) : no

We obtained some disturbing results from convolve() (inaccuracies and negative probabilities). We'll try to make the context clear in as few lines as possible... Our function panjer() (code below) basically computes recursively the probability mass function of a compound Poisson distribution. When the Poisson parameter lambda is very large, the starting value of the recursive scheme ---

Hi all, I'm interested in doing a multiple density plot on a number of columns in a dataframe. >DF lineA.1 lineA.2 lineB.1 lineB.2 r1 5.355354 6.665575 10.288498 11.74750 r2 3.643415 5.427600 11.407112 13.97065 r3 5.813674 6.438502 9.628871 11.57456 r4 5.241340 5.125049 10.456221 12.35381 r5 4.640885 8.635518 8.344704 11.98484 r6 4.559852 6.416171 10.419599 10.89247 r7

Hi! I have been using pxelinux with memdisk to boot our workstations with our custom floppy, which is a MSDOS boot disk (actually it is win98) On one of the PC's I'm testing, a Fujitsu-Siemens which has an AMDtek based on-board network card and when PXE is activated, it gets an IP from the DHCP, then it finds the TFTP server, downloads pxelinux.0, executes it which causes the floppy to