similar to: html image maps for panels of a lattice graphic

How to show panels for factor levels of conditioning variables which do have no values? E.g. there are panels for "Grand Rapids" when they have values: data( barley ) with( barley, dotplot(variety ~ yield | year * site, layout=c(6,2) ) ) There are no panels for "Grand Rapids" when there are no values for "Grand Rapids": my.barley <- subset( barley, ! ( site ==

How one can add a text (e.g. the labels of an axis) in a space between grouped panels which was created by using the argument ``between''? Example: data(barley) dotplot(variety ~ yield | site * year, data=barley, between=list(x=c( 0, 0, 6 )) How to add labels for the y axis in the space in the middle? Thanks Wolfram

On some errors during the plot of a lattice/grid graphics, there is written a message like "Error using packet 1: missing value where TRUE/FALSE needed" into the concering panel and the next panel is plotted. Which option I could use to stop the execution to have a look at the error by a traceback? Regards - Wolfram

Actually, this is supposed to work (and is given as an example in my DSC-2003 paper), and at some point, did. It seems this was broken as a consequence of a careless change in panel.levelplot. The first 5 lines should have been label.style <- match.arg(label.style) x <- as.numeric(x[subscripts]) y <- as.numeric(y[subscripts]) minXwid <- min(diff(sort(unique(x))))

This is the same bug as that reported by Wolfram Fischer a few days back. I'm working on it, and hopefully it would be fixed by the next release of lattice (sometime next week). Deepayan On Friday 13 December 2002 08:57 am, Luis Torgo wrote: > I've come across the following error when using free scales with bwplot (I > use > > a small example data set just to illustrate the

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

I have some geospatial data where two layers are thematic and the third is a percentage, so the maps need to have different themes. thumbDf <- as( stack( thumb), "SpatialGridDataFrame") names(thumbDf at data) <- c("pri", "sec", "pct") thumbDf at data$pri <- factor(thumbDf at data$pri, levels=c(0:8), labels= names( peelClasses)) thumbDf at

x.fun <- function( formula, data ) dotplot( formula, data ) x.grp <- function( formula, groups, data ) dotplot( formula, groups, data ) data( barley ) > x.fun( variety ~ yield | site, data=barley ) # no problem > dotplot( variety ~ yield | site, groups=year, data=barley ) # no problem > x.grp( variety ~ yield | site, groups=year, data=barley ) object "year" not found

Dear all, Being a newbie to R, I've trawled through many old posts on this list looking for a solution to my problem, but unfortunately couldn't quite figure it out myself. I'd be very grateful if someone here on this list could perhaps help me out. I have a lattice plot with several panels and would like to add some text next to the y-axis on the right hand side of each row of

I want to display cumulative summary functions with lattice. First I tried to get cumulated data: library(lattice) data(barley) d.cum <- with( barley, by( yield, INDICES=list(site=site,year=year), FUN=cumsum ) ) I got a list of vectors. I tried to get a dataframe which I could use in xyplot. But neither of the following functions led to the goal: d.cum.df1 <-

What is the most elegant way to specify that strip panels are to have transparent backgrounds and graphs are to be in black and white when lattice is being used with Sweave? I would prefer a global option that stays in effect for multiple plots. If this is best done with a theme, does anyone have a lattice theme like col.whitebg but that is for black and white? I'm using the following

I have a problem with including extra data in a lattice graphic. I am trying to put some calculated values in an extra column of a boxplot. A minimal example should show what I am trying to do: foo <- data.frame( Treatment=rnorm(1:12,2),

I think it is easiest to describe what I want in terms of the concrete problem I have. I have data from a number of countries in each of which a sample of people was interviewed. In presenting the results in a forthcoming collaborative publication much emphasis will be placed on the multi-centre nature of the study. Although I suspect colleagues may do this with shaded maps I would prefer to

R 1.8.1: ___COMMAND____________________________________________ levelplot( yield ~ year * variety | site, barley ) ___ERROR_MESSAGE______________________________________ Error in Summary.factor(..., na.rm = na.rm) : "min" not meaningful for factors ___COMMENT____________________________________________ levelplot( yield ~ as.numeric(year) * as.numeric(variety) | site,

I am interested to know how to make for clouds: - aspect ratio = 1 - labels attached to points - vertical lines from the points to the x/y base plane I tried: t = c( 'A', 'B', 'C', 'D' ) x = c( 100, 0, 200, 100 ) y = c( 0, 100, 0, 100 ) z = c( 80, 0, 20, 40 ) q = data.frame( x, y, z ) rownames( q ) = t print(cloud( z ~ x *

Is there an easy way to have scales beginning with zero and ending with the local maximum data value of each panel when using a lattice function with ``scales=list( relation="free" )''? Thanks. Wolfram

PROBLEM # Allocating strip labels by the function strip.fun(): strip.test() # Result: No strips: ok. No strings: NOT OK. # The distance ``y.text=unit(6,"points")'' is ignored; # the strings are not seen on the output. TRIALS FOR WORKAROUNDS strip.test( strip.lines=1 ) # Result: 2 strips: ok, but not whished. 2 strings: ok.

I'm trying to set up a lattice plot with two y-axes for each panel. (Yes, I know that multiple y-axes are generally a bad idea; the graph is for someone else and they want it that way.) I've used a custom yscale.component in xyplot to achieve this: myyscale.component <- function(...) { ans <- yscale.components.default(...) ans$right <- ans$left foo <-

Dear all I have made some lattice graphs (bwplot(dead ~ treat | group,...). 'group' is a factor with three levels (Artemia larvae, Abalone larvae and Abalone spat), and the result is a graph with three panels corresponding to the levels in 'group', ordered in alphabetical order from bottom to top, as expected. How does one re-order the order in which the levels of

Dear R users, My apologies for a simple question for which I suspect there is a simple answer that I have yet to find. I'd like to plot panels in lattice with different graphical parameters for the axes. For example, the code x<-rnorm(100) y<-rnorm(100) z<-c(rep(1,50), rep(2,50)) library(lattice) xyplot(y~x|z) plots two panels with the default black axes. Running the following