similar to: Call trellis function in a function (PR#8827)

Hi, i have a script how i launch lattice to make a densityplot. in the script: jpeg(file="XXX.jpg") densityplot(~f_diametro+m_diametro+n_diametro, plot.points="rug", auto.key=T) dev.off() does'nt work and in R i dont have any output but if i launch by R row by row, runs correctly..... any idea?

Full_Name: FAN Version: 2.4.0 OS: Windows Submission from: (NULL) (159.50.101.9) These are expected: > grep("[\-|c]", c("a-a","b")) [1] 1 > gsub("[\-|c]", "&", c("a-a","b")) [1] "a&a" "b" but these are strange: > grep("[d|\-|c]", c("a-a","b")) integer(0)

Dear People, If I define foo <-function() { x <- rnorm(500) trellis.device(postscript, file="plot.ps") densityplot(~x) dev.off() } and call foo() then plot.ps is just a blank plot. However, if I extract the lines inside foo and run them, ie. x <- rnorm(500) trellis.device(postscript, file="plot.ps") densityplot(~x) dev.off() then plot.ps is created

Hi, I have a the code for a plot that works perfectly running in R and printing to a Quartz object but which doesn't work when I make the trellis device a pdf. The code is as follows: ---- trellis.device(device="pdf", new=TRUE) trellis.par.set(my.theme()) dotplot(Y ~ X | C, groups=G, data=D, layout=c(2,1), ... ) trellis.focus("panel", 1, 1) for (y in 1:5) {

Hi, I was trying to make a graph using trellis, and my code is: ----------------------------------------------------------------- library(lattice) makeGraph <- function(){ trellis.device() tbg <- trellis.par.get("background") tbg$col <- "white" trellis.par.set("background",tbg) # Test Data mfr <- matrix(sample(1:100,50,replace=T),ncol=2)

Hello I wonder whether someone can tell me what I am doing wrong. Here is the code (from Bayesian Computation with R - Chapter 2.3.R) that I am trying to run #################################### # Section 2.3 Using a Discrete Prior #################################### graphics.off() # Close all graphics rm(list=ls()) # Clear all variables library(LearnBayes)

hello, i need help with: data$f1<-as.factor(data$f1) data$f2<-as.factor(data$f2) s3<-equal.count(data$s2,number=3) densityplot(~y| f1 + f2 + s3, data=mydata ) this produces 3 plots, *successively*, one for each value of s3. i was hoping it would produce one plot. is trellis limited to 2 conditional variables? if not, what are the appropriate commands? thanks! [[alternative HTML

Hi All, Can you please help me, why this code in not generating line chart? library(ggplot2) par(mfrow=c(1,3)) #qplot(TIME1, BASCHGA, data=Orange1, geom= c("point", "line"), colour= ACTTRT) unique(Orange1$REFID) -> refid for (i in refid) { Orange2 <- Orange1[i == Orange1$REFID, ] pdf('PGA.pdf') qplot(TIME1, BASCHGA, data=Orange2, geom= c("line"),

Hey, folk. I am trying to get many figures by using the function "xyplot" in the library "lattice". I tried to using the loop to finish it quickly. But I cannot open the saved file after I run the program. But if I use the function "plot" to get other simply figures, it can work. So I want to ask how I can get the saved figures by using "xyplot". The

Full_Name: Xiao Gang FAN Version: 2.4.0 OS: Windows XP Submission from: (NULL) (159.50.101.9) Dear All, This is not really a bug report, but rather a change wish to the Base R behaviour on some functions when applying them to character strings vectors/matrices. Actually in R, we can do thinks like, the most naturally way in this the world: > "a" < "b" [1] TRUE >

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 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

Full_Name: Xiao Gang FAN Version: 2.4.0 OS: Windows Submission from: (NULL) (159.50.101.9) > library(chron) > as.Date(as.POSIXct(strptime("1994-01-24","%Y-%m-%d"))) [1] "1994-01-23"

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,

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

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.

Hello, I'm doing some graphics for a paper and a need customize such with filled region above the density curve. My attempts I get something very near what I need, but I don't solve the problem of use semitransparent filled. Below a minimal reproducible code. Someone has any idea? require(lattice) # toy data... dt <- expand.grid(A=1:2, B=1:3, y=1:50) dt$y <- rnorm(nrow(dt), dt$B,

Hi I would like to superimpose group-specific densityplots on top of an overall histogram using panel.histogram and panel.densityplot. Furthermore, I would like to automatically adjust the range of the y-axis to take into account the ranges of both histogram and densityplot. This last part is where I have a problem. I believe using the prepanel argument of histogram is typically the way to go,

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