similar to: Lattice scales question: using "at" when log = TRUE

All, I'm trying to make a basic plot: data points superimposed upon the a line connecting the points w/ a different color. Example below doesn't work as the first xyplot call doesn't remain. Suggestions? David Hour = c(NA,1,2,3,4) y = c(2,2,3,2,1.5) xyplot(y ~ Hour, xlab = list("Hour", font=2, cex=2), ylab= list("U_x * V", font=2, cex=2), type = 'l',

All, On p.52 of Deepayan Sarkar's Lattice book there is a nice plot of showing residuals with median lines superimposed or various groups: library("lattice") stripplot(sqrt(abs(residuals(lm(yield~variety+year+site)))) ~ site, data = barley, groups = year, jitter.data = TRUE, type = c("p", "a"), fun = median) Suppose we wanted to make a similar plot for a

All, I've coded a function and it works manually if I copy it line by line into R. However, when I try to "load" (copy and paste) the entire function into R, I get the following error after the listed line of code: + N.j.list = lapply(rej.hyp, length) Error: symbol print-name too long Does anyone you know what this error means? Strangely, when I copy the same line verbatim

All, How does one replace plot symbols with say subject IDs when using xyplot? Or superimpose them next to plot symbols? I searched the archives under various key words but haven't had much. Any suggestions or links much appreciated. Sample code below. David junk.frm = data.frame(ID = rep(1:16, each = 2), x, y, z = rep(c("D", "P"), 16)) y = c( 0.4, 0.6, -0.1,

All, I have data across 5 time points that I am graphing via xyplot, along with error bars. For one of the variables I have missing data for two of the time points. The code below is okay but I can't seem to get the lines to connect across the missing time points. Does anyone now how to rectify this? Cheers, David Afshartous library(lattice) ## the data junk = data.frame( Visit =

All, The code below produces a color 3D graph. I'd like to make it black and white shading. I tried setting col.regions to FALSE but this just made it completely white. I want the graph to look exactly as is, except black (or grey) and white shading. Is this possible? Cheers, David p.list = c(.01, .1, .25, .5, .75, .9) cov.list = c(.2, .1, .05) ### leave out .01 X = rep(p.list, 3)

All, Below is an xyplot plot with multiple panels and a title produced via main: library("lattic") data.ex = data.frame(y = rnorm(10), t = rep(1:5, 2), group = rep(c(0,1), each = 5)) xyplot(y ~ t | as.factor(group), data = data.ex, main = list("Put figure caption here xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx want this line left justified" )) I must be mis-interpreting the

All, Sorry for overly simplistic question, but I can't seem to remember how to create the basic plot shown in Figure 1.1 of Pinheiro & Bates (2004; p.4). The y-axis delineates a factor (Rail) while the x-axis displays the distribution of a continuous variable (time) according to each level of the factor. Didn't see it in archives but perhaps I'm not searching on correct key words,

All, I'm having problems w/ a simple attempt to subset an xyplot. The first plot below is a plot of y versus x for certain values of a third categorical variable z. Now I'd like to further restrict this to certain values of variable y. Neither of the two attempts below work. Any suggestions much appreciated. (note: I don't want to merely use ylim since I have a loess plot and I

All, When saving plots to a pdf file via the pdf function, I would like to be able to automatically expand the graphics device to achieve the same result as when one does this manually (e.g., clicking the green expand button on the upper left of the graph on Mac OS). Consider simple example below: library("lattice") foo.frm = data.frame(Subject = rep(c(1:4), each = 9), Y =

Dear list, I have observed a change in the behaviour of the scales-argument tck of xyplot() after having installed R 2.4.0 (for version info see below). The help page of xyplot() says about the scales-argument tck: 'tck' numeric to control length of tick marks. Can be a vector of length 2, to control left/bottom and right/top separately. But if I issue xyplot( y ~ x, scales=

I using lattice to make some plots and I want to make the y-axis on some of these plots use a log scale. In the following plot: x <- 1:10 y <- 2^x xyplot(log10(y) ~ x) I get tick marks on the y-axis at 0.5, 1.0, 1.5, 2.0, 2.5, and 3.0. I would rather have just 3 tick marks at 1.0, 2.0, and 3.0 but labeled 10, 100, and 1000. I know this can be done using the "at" and

I have a dataframe concerning manner of death from death certificates, from 2005 to 2009 inclusive, with the following structure: > str(MannerYoung.plot.data) 'data.frame': 245 obs. of 4 variables: $ year : Factor w/ 5 levels "2005","2006",..: 1 2 3 4 5 1 2 3 4 5 ... $ manner : Factor w/ 7 levels "Accident","Homicide",..: 1 1 1

All, I can't seem to get auto.key to work properly in an xyplot that is employing panel.text. Specifically, I often change the default grouping colors then use auto.key accordingly, but for some reason the same functionality isn't working for this different type of plot. Any help much appreciated. Cheers, David library("lattice") dat = data.frame( Y = c(rnorm(18,1),

I have not been able to figure out the format for specifying limits, at, labels in scales <- list(relation='free', limits=..., at=..., labels=...) when there is more than one paneling variable, e.g., xyplot(y ~ x | a*b). Thanks for any guidance. Frank ----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context:

I have a Lattice plot in which I want to adjust the number of tick marks used, and I want to have the drawn grid reflect that change. Here is what I'm doing: bwplot(var1 ~ var2, data=df, scales=list(tick.number=10), panel=function(...) { panel.grid(h=0,v=-1,...); panel.stripplot(col="gray40", pch="|", cex=2, ...); panel.bwplot(...); })

All, I'm witnessing some strange behavior when checking the values of one of my variables. My guess is that it has something to do with the number of significant digits being represented, but perhaps not as my variable was created from other variables that only had one decimal place. See below. I'm sure this is something basic, any suggestions much appreciated. Cheers, David >

I am using R 2.8.1 and lattice to produce xyplots conditioned on two factors. What I would like is to have the scales be free between values of one factor, but some within. Thus, in the example: xyplot(mpg ~ disp | factor(gear) + factor(cyl), mtcars, scales=list(x=list(relation="free"))) rather than having the x scales be free within a gear as well, I want it to be the same for

I would like to create an xyplot with varying y-axis limits and horizontal labels at the y-axis tickmarks. The following does not seem to work, although I think it should, going by the documentation for par. R version 2.5.1, Windows XP Prof. Thanks for a clue. Andreas Krause library(lattice) # axis labels for y-axis are horizontal xyplot(Sepal.Length ~ Sepal.Width | Species, data=iris) #

Hello, I am trying to alter the way in which lattice functions (specifically xyplot) print the axis labels when one uses the 'scales' parameter. I can obtain the effect I want by using scales=list(y=list(log=10, labels=expression(yvalues))) where yvalues are the values that would have been printed as the y-axis labels if the "labels" argument had not been present. To help