similar to: xyplot problem

Dear all, I hope this is the right mailing list for my question -- I felt that this was too technical for R-help. I am trying to compile R-2.4.0 on a HP-UX system: ./configure MAKE=gmake --prefix=$HOME --without-x --without-tcltk --disable-R-profiling --without-readline --disable-multibyte R is now configured for ia64-hp-hpux11.23 Source directory: . Installation directory:

I'm wondering how the cex parameter is used to scale circles (i.e. does it scale the radius, diameter, area, circumference, etc.?). In my case I'm using lattice with filled circles (pch=19). Based on example, it looks like R scales the radius of the circle: library(lattice) dta<-data.frame(x=rep(1,6),y=rep(1,6),sz=c(1,2,4,8,16,32))

All I want to overlay two variables on the same plot following their appropriate grouping. I have attempted to use subscripting in panel with panel.xyplot, but I can't get the grouping to follow into the panel...here is an example... dat<-data.frame( y= log(1:10), y2=10:19, x=1:10, grp = as.factor(1) ) dat2<-data.frame( y= log(10:19), y2= 20:29, x=1:10, grp = as.factor(c(2)) )

Dear R-helpers, the problem I'm facing today is to convince lattice to paint some areas in gray. The areas I would like to have in gray, are confidence bands I've googled around in the mailing list archives and eventually find some clues. This link is my starting point http://tolstoy.newcastle.edu.au/R/e2/help/07/04/15595.html I'm reproducing here the code for your convenience est

Derar Rxperts, I have a strange situation.. I see curly brackets around "strip.levels" in multipanel strips while using lattice::xyplot. .How do I get rid of the curly brackets? For some reason, I am not able to reproduce the problem using an example below... Any suggestions are highly welcome! Thanks, Santosh q <-

Dear Rxperts, How do I hide the top and right axes in multiple panel plots? A couple of examples are provided below.. Would highly appreciate appreciate your assistance.. #Example 1 library(latticeExtra) xyplot((1:200)/20 ~ (1:200)/20, type = c("p", "g"), scales = list(x = list(log = 2,alternating=0), y = list(log = 10,alternating=0)), xscale.components =

Hello ! I'm struggling again against lattice graprhics. ;) I'm trying to produce a conditionnal xyplot with two conditionning factors (let's say A and B). I want the levels of those factors (A1, A2, etc) to show in the margins of the lattice plot, not in the strips between the panels. A1 A2 A3 plot11 plot12 plot13 B1 plot21 plot22 plot23 B2 I managed to remove the

Hi: In lattice, how does one handle separate graphical behavior for two different factors? In the xyplot below, the objective is to use the levels of one factor to distinguish corresponding shapes and colors, and the levels of the other factor to perform level-wise loess smooths. # Illustrative data: d <- data.frame(time = rep(1:8, each = 6), val = rnorm(48), gp1 =

Although this should be trivial, I'm having a spot of trouble. I want to make a lattice plot of the format y1+y2 ~ x | grp but then fit a lm to each y variable and add an abline of those models in different colors. If the xyplot followed y~x|grp I would write a panel function as below, but I'm unsure of how to do that with y1 and y2 without reshaping the data before hand. Thoughts

Hello, I am a newbie to the lattice package in R, and I'm trying to make a plot using the xyplot function. I have repeated measures data (2 conditions) for two different groups of subjects (teens and adults). So far, I've made a basic graph using xyplot(y ~x, group=subnum, data=mydata, type="b"). Now I would like to make all the teens' lines one color and the adults'

Hi all, I'm not sure how to correctly analyse the following data with glm, and hope for some advice from this list, ideally showing how to specify the model in R and perform the tests, and also for suggestions of literature. The data structure is like this: - 20 plant populations were investigated (random factor pop), which belong to different habitat types (factor ht) - Within

I wish to do a stacked area chart to show how relative proportions of species within a stand have changed over time. I know this is simple, but can someone point me to the right function (if it exists). I have not had any luck finding it in the R-help, but maybe I am searching using the wrong keywords. Thanks, Mike Mike Saunders Research Assistant Forest Ecosystem Research Program Department

Hi, how can I get a more descriptive text instead of the variable names in my XY-lattice plot, according to the table below? Variable text acet = "Acetylaspartate Thalamus" chol = "Choline Thalamus" acetp = "Acetylaspartate parieoc" ino = "Inositole Thalamus" I could not find a solution. Please have a look at my syntax. Thanks a lot,

In the "filled bands" part of xYplot of the Hmisc package, is there a way to have multiple bands with multiple lines? or does it just allow one for now? So I had an example bit ago had a made up line and CI, now if I wanted to make a second line with a CI filled in can I put them on the same plot? x<-seq(1,10,1) y<-seq(1,10,1) ci<-y*.10 ciupper<-y+ci

Hello, I am trying to make a xyplot plot with points that are different symbols. I want to call the symbol type (pch) from a column in my dataframe. Here is a simplified example. In my real example I also have groups, which I have not included here. This example doesn't change the symbols or colors. Any help you can provide would be appreciated. Thanks, John x<-c(1:12)

Dear R-users, I have written the following code to generate some trellis plots. It works perfectly fine except that it is quite slow when it is apply to my typical datasets (over several thousands of lines). I believe the problem comes from the loops I am using to subset my data.frame. I read in the archives that the tapply function is often more efficient than a loop in R. Unfortunately ,

Hi there, sorry for troubling everybody once again, I've got a problem rewriting Sarkar's function for rewriting the tick locations in a logaritmic way (s. http://lmdvr.r-forge.r-project.org/code/Chapter08.R): His example works for log 2 but I need log e (natural logarithm). My problem is that if I replace 2 with "e" (using paste()), I get the error message that the location

Does anybody here have a suggestion for a clever way of creating contour plots for estimated bivariate density functions conditional on a factor? The contourplot function in the 'lattice' package only accepts data that are on the form 'z ~ x * y', not on the form 'x,y' or 'y~x'; otherwise I could probably have used the panel function to do the needed conversion.

Greetings, I am printing lattice plots from the R-interface to a printer, and although the y-axes of the left-most panels are visable on the screen, they are not present on the paper when there are multiple panels (ie, >1). For example: trellis.device(bg='white') histogram(~dbh, data=diameter.df) ###print to a printer from the R-interface by clicking the print button on the

Hi all, I realize this is asking a lot of lattice, but I want to add a second y axis inside a xyplot and have y1 and y2 have different ranges. Given dat below, I can add a second y axis by overlaying a new plot with par(new=T) and label axis 4 with standard graphics. I've seen an example for doing something similar in xyplot even though Deepayan has indicated that lattice isn't the right