similar to: Problem with llines in lattice

Another question about lattice: Is there a way to use plotmath in the labels and strips? E.g. xyplot(y~x|group,data=test.df, panel=function(x,y,subscripts,df) { llines(x,y,col="black",lwd=2) llines(x,df[subscripts,"lowerCI"],lty=2,col="#aaaaaa") llines(x,df[subscripts,"upperCI"],lty=2,col="#aaaaaa") },

I'm baffled as to how the Lattice package achieves clipping. Would someone mind explaining this to me? Firstly, my attempt using "just" the grid package: x<-seq(0,3,by=0.3)/2.8 y<-seq(0,1,by=0.1) grid.newpage() grid.rect(gp=gpar(fill="pink")) vp<-viewport(width=0.8, height=0.8) pushViewport(vp) grid.rect(gp=gpar(fill="white")) grid.xaxis()

Dear R-helpers, How do I tell panel.polygon what greoup and panel it applies to whithin xyplot(y ~ x | c, groups = g panel = function(x, y, groups, ...){ panel.polygon(x = xpol[c, g], y = ypol[c, g], default.units = 'native') panel.xYplot(x, y, groups, ...) llines(x = c(1, 6), y = c(-24.283333, 35.941667), lwd = 2, lty = 3, col = 4) } x[c, g] and y[c, g] describe

Hi all, I have been previously been using scatterplot3d package to create some graphs but unfortunately it does not allow me to rotate the plot on all three axis. The cloud() function in the lattice package does allow me to do so. When I was using scatterplot3d I was using a script (Shown Below) to calculate the mean, quartiles and range limits for all three axis and I was representing that on the

Dear lattice wizards, I am trying to figure out how to plot predicted values in xyplot, where the intercept, but not the slope, varies among conditioning factor levels. I am sure it involves the groups, but I have been unsuccessful in my search in Pinhiero and Bate, in the help files, or in the archive, or in my attempts on my own. My example follows: FACT is a factor with levels a,b,c

Hi, I was taken off guard by the following behavior in a lattice plot. I frequently want to add a predicted curve defined at more points than in the formula expression of xyplot. There have been numerous examples of how to do this on r-help, but I still often struggle to make this work. I just realized that specifying one of the axes on a log scale does not guarantee that the added data for a

I would like to use llines() to draw lines with square endings in lattice plots. But the default behavior seems to be to draw lines with round endings. How can I change this? I'm looking for a parameter like par('lend') or get.gpar('lineend'), but trellis.par.get() doesn't seem to have anything analogous. I searched the archives but saw nothing on this. I'm

If I have a contourplot (in the lattice package) and I want to add straight lines to it, how do I do this? I see that there are llines() and lsegement() functions for lattice plots, but they don't seem to do anything in this case: library(lattice) library(KernSmooth) x=rnorm(10000) y=x+rnorm(x,0,.5) a=bkde2D(cbind(x,y),.7) z=as.vector(a$fhat) grid=expand.grid(x=a$x1,y=a$x2) grid$z=z

Hi all - I'm trying to generate lattice barchart graphs with missing values, and came across the following: This does not run. I would expect it to: library(lattice) D = data.frame(X=1, Y=factor(letters[2], letters[1:2])) barchart(~ X, D, groups=Y) Error in grid.Call.graphics("L_rect", x$x, x$y, x$width, x$height, resolveHJust(x$just, : invalid line type which is simply

Full_Name: Volker Franz Version: 1.5.1 OS: Debian-Linux Submission from: (NULL) (134.176.77.64) Hi, working with the panel.superpose function, I found out that this function does not pass the subscripts and groups arguments to panel.groups functions. In my view, this seems an unnecessary restriction, because the subscripts-mechanism which allows to access the original data should also work if

Hi, I have a data frame like this: ScoreDoseSex 2.81Dose1M 1.81Dose1M 1.22Dose1M 0.81Dose1M 0.49Dose1M 0.22Dose1M 0.00Dose1M -0.19Dose1M -0.17Dose1F -0.32Dose1F -0.46Dose1F -0.58Dose1F -0.70Dose1F -0.81Dose1F -0.91Dose1F -1.00Dose1F -1.77Dose2M -1.85Dose2M -1.93Dose2M -2.00Dose2M -2.07Dose2M -2.14Dose2M -2.20Dose2M -2.26Dose2M -2.32Dose2F -2.38Dose2F -2.17Dose2F -2.49Dose2F -2.54Dose2F

i am trying to replicate the following graph using xyplot : attach(x) plot ( jitter(type), mortality, pch=16, xlim = c(0.25, 3.75)) lines ( c(1-0.375,1.375) , c ( median(mortality[type==1]), median(mortality[type==1])), lwd=5,col=2) lines ( c(2-0.375,2.375) , c ( median(mortality[type==2]), median(mortality[type==2])), lwd=5,col=2) lines ( c(3-0.375,3.375) , c ( median(mortality[type==3]),

I am trying to use the Lattice package to produce the same result as I can with the base graphics. With base graphics I can type: x <- 1:100 y <- x+rnorm(length(x)) g <- lm( y ~ x ) model.y <- g$coef[1]+g$coef[2]*x plot(x,y) # a plot of the data lines( x, model.y ) # a plot of the model, superimposed on the first plot With Lattice graphics I've got this far:

Hi, I want to customise the segments on an xyplot. Below is a simple example of what I'm trying to do... #Example dataset x <- c(-0.25, 0.25, 0.8) y <- c(-0.5, 0, 0.75) gp <- c("A", "I", "C") my.data <- cbind.data.frame(x,y,gp) #setting up the parameters to customise the lines with. ltype <- c(1,2,3) env.col <-

Hi I have a problem with passing line and symbol parameters to user defined panel functions I had a look at the archives and created a panel function on what was shown and on panel.loess. I could not to get panel.locfit to work for what I intend it for. There is another layer to work with before success as lp() is called from locfit. xx <- structure(list(Farm = c("A",

Hello R Users! I'm trying to use the panel.linejoin function to draw points and lines (type="o") but it wouldn't do it. Modifying the panel.linejoin function as such (adding type argument to the panel.lines call). *original* panel.lines(vals[xx], yy, col = col.line, lty = lty, lwd = lwd, ...) *modified panel.lines(vals[xx], yy, col = col.line, lty

Hi, I'm creating some lattice plots that have a key and I'd like to put a label on the key. The problem is that the text label for the key prevents the values of the group variables from being shown (see example below). I don't think that this is a feature, but I might be abusing the title arg for key. I'm using R Version 2.3.0 (2006-04-24) on Windows XP and lattice V0.13-8

Hi is it possible to fit a trend line (or some other panel function) through each of multiple data series plotted on the same graph? Specifically, while one can do something like xyplot(a+b+c~x) which plots three series, a,b & c, but can one automatically fit lines through each of them? I suppose one could generate three more variables afit, bfit, and cfit with a model & predict and

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 =

I suggest to add a panel function to levelplot (or perhaps to an other 3d lattice function) which is able to translate the z values into the size of the rectangles. It could be used to display categorical data. I append the proposed code and two examples: - panel.catlevelplot() - example1.catlevelplot.esoph() - example2.catlevelplot.esoph() Wolfram Fischer #------ CODE