similar to: Several densityplots in single figure

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, A simple question I hope. I wish to add a single vertical line to a plot with several density plots. Here is a simplified example. ############ thedata <- data.frame(x1=rnorm(100,1,1),x2=rnorm(100,3,1)) #create data thedata.m<-melt(thedata) densityplot(~value, thedata.m, groups=variable,auto.key=list(columns=2)) #this gives the two density plots ######### what I wish now is to add a

Hi, I used the following statements to generate unsuccessfully a 5 by 5 multiple densityplots on a single page. If I use plot, the whole thing works. > data <- matrix(rnorm(25), 5, 5) > op <- par(mfrow = c(5, 5)) > for (x in 1:5) {densityplot(data[,x])} > par(op) Thanks Stanley [[alternative HTML version deleted]]

I am trying to plot multiple densityplots on each panel, and using panel.groups to do some additional plotting (not included in the example) as in this example. library(lattice) thedata <- data.frame(x=rnorm(1200),class=rep(1:3,each=200,times=2), group=rep(1:2,each=100,times=6)) densityplot(~x | class,groups=group, xlab='x', panel.groups =

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

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 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 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, 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?

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,

I'm trying to plot a series of densities using/comparing differing weights. I see the reference to weights and subscripts, but I don't understand how to implement that. My data are of the form: I, J, Actual, Distance, Subset, Weight1, Weight2, ... I'm trying to see the effect of the distance distribution (Actual by Distance) compared to the various weighted distributions

densityplot(~x+y) does what I expect it to do if x and y have equal length. I know how to get what I want if x and y have different lengths. But what is this actually doing if x and y have different lengths? The relevant example is x=rnorm(10) y=rnorm(50,1) densityplot(~x+y)

Is there any function like par(new=T) for lattice. I want to plot a histogram in percentages on the right hand side and also superimpose the densityplot with its density scale on the lhs. so far I am only able to do this histogram( temp[,2]~ temp[,1],nint=100,type="desnity", xlab = "Population Size", panel = function(x, ...) {

Hi, I have downloaded a R script from http://www.wessa.net/rwasp_edauni.wasp#output. This script produces a densityplot graphic, amongst others, when is executed from the web page. However, when I run it in my machine the *densityplot* function produces any output, I mean a blank graphic. But, it's interesting if I run the following lines in the R interactive console: > y <-

Hi all, I'm trying to generate a plot containing a scatterplot, with marginal densityplots for x and y. However, when I try to generate a vertical densityplot, I get the message "warning: can't clip to rotated viewport", and nothing shows up. I'm probably misunderstanding how viewports are meant to be used, so if someone could give me a hint, I'd be most grateful. my

Dear all, I am new in R so please forgive the "dumb" question... I am used to work with Mathematica where it is possible to display a 2D array as a collection of shaded squares. The gray level there represents the value of the array element. It is basically a projection of a 2-dimensional histogram. After a lot of reading I still haven't found that kind of function. I would be

Hi, I've been trying to find a way to label the the peak or mean of a densityplot for a while but haven't been successful. Does anyone know how to accomplish this? Thank you for your help in advance. Joon [[alternative HTML version deleted]]

Using "par" seems easily put a "hist" and a density side by side on the same output window. I would like to use some features in "histogram" from Lattice, but how can I put "histogram" and "densityplot" side by side on the same graph? Thank you par(mfrow=c(2,1)) hist(y) plot(density(y)) Jue Wang, Biostatistician Contracted Position for

Hi, This might be a simple problem but I don't know how to calculate a random variable density the way panel.histogram does it before it creates the actual density rectangles. The documentation says that it uses the density function but the actual code suggests that the hist.constructor function (which does not seem to be easily accessible). Any suggestion for computing the density values of