similar to: Lattice: panel.superpose function does not pass subscripts and groups arguments (PR#2377)

Dear R-users, i want to plot gene regulation data in a lattice barchart. To illustrate the problem i encounter, the following code uses the "barley"dataset: library(lattice) barley[["SD"]] <- 5 PLOT <- barchart(data=barley, yield~variety|site, groups=year,origin=0, as.table=TRUE, scales=list(x=list(relation="same", rot=30), y=list(alternating=3,tck=-1)),

Hi, I am trying to superimpose (overlay) regression lines to scatter plots by groups with xyplot (dysfunctional code below). However, my call of panel.superpose breaks down because of the subscripts requirement. I tried to research the documentation and examples, but I cannot figure out how to make xyplot plug subscripts to a panel... call. Could you have a look? It would be greatly appreciated.

I investigated why I was getting this error message... Error in Ops.factor(groups[subscripts], vals[1]) : Level sets of factors are different which led me to putting a browser in panel.superpose: Called from: panel.superpose(x, y, subscripts, ...) Browse[1]> vals vals [1] 1 2 3 Levels: 1 2 3 Browse[1]> groups[subscripts] groups[subscripts] [1] 1 2 3 1 2 1 2 3 1 2 3 1 2 3 Levels: 1 2

Folks at R help, I can't quite get the panel function to work the way I want within barchart. I guess I'm still not understanding how to piece together multiple panel arguments, especially when "groups" is specified. Example: I want to be able to add the value of "yield" to each section of each bar in this graph: barchart(yield ~ variety | site, data = barley,

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

I've generated a version of the classic dotplot of the barley data with library(lattice) data(barley) trellis.device("postscript", color=TRUE, file="barley2x3.ps") old.settings <- trellis.par.get() trellis.par.set("background", list(col = "white")) lset(list(superpose.symbol=list(pch=c(19, 1, 25, 2, 15, 22, 23),

Background: OS: Linux Mandrake 10.1 release: R 2.0.0 editor: GNU Emacs 21.3.2 front-end: ESS 5.2.3 --------------------------------- Colleagues I'm plotting fish egg densities in temperature-salinity space (i.e. mean temperature ~ mean salinity | fish egg densities) for two survey years. The bivariate plot is overlaid on a temperature ~ salinity plot (not means) showing the distribution of

Hi, The following produces almost exactly what I needed. The problems are that the 'panel.dotplot' call (commented) generates the error 'Error in NextMethod("[") : argument "subscripts" is missing, with no default'. The other problem is that the colors alternate between the levels of the 'site' variable, rather than 'year'. barley$yield2

Dear All, I am hoping to implement a barchart using trellis graphics where all elements have a line width of 2. Using trellis.par.set(), I am able to make most elements lwd=2, but not all. In particular, the top of the box (above the upper most strip) and the left y-axis remain one point. Code with a barchart() example is below. Any advice would be greatly appreciated. Thanks for your

Background: OS: Linux Mandrake 10.1 release: R 2.0.0 editor: GNU Emacs 21.3.2 front-end: ESS 5.2.3 --------------------------------- Colleagues I have solved the miscoding with subscript and groups in panel.superpose. I was neglecting to pass in the variables correctly. "sardine.egg.T.S.space.2001.and.2002.exp" <- function() { library(lattice) library(grid) ##

Dear R users, I try to use xyplot() to display two different response variables from the same dataframe per panel, but don't succeed: xyplot(ptot.seaslog ~ vmcwit | seas, data=reeks, as.table=TRUE, panel = function(x,y){ panel.xyplot(x, y, ylim=c(0,1)) panel.superpose(x=reeks$vmcwit, y=reeks$ptotbin, panel.groups = "panel.xyplot",

Josh Coalson <xflac@yahoo.com> wrote: > thanks for the patch. No prob :) > also, if you have miroslav's patch again a more updated version > of bitbuffer.c that would be great. I have been meaning to get > around to applying it for a long time. This is Miroslav's patch, from the mailing list post I dug up in the archives: --- orig/src/libFLAC/bitbuffer.c +++

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))))

Dear R-users, I'm using lattice package and function xyplot for the first time so you will excuse me for my inexperience. I'm facing quite a simple problem but I'm having troubles on how to solve it, I've read tons of old mails in the archives and looked at some slides from?Deepayan Sarkar but still can not get the point. This is the context. I've got data on 9 microRNAs, each

Ok, here is a patch waiting for new CVS :). It works fine for me, but please check it before commiting... -- Miroslav Lichvar -------------- next part -------------- --- src/libFLAC/bitbuffer.c.orig 2003-01-30 17:36:01.000000000 +0100 +++ src/libFLAC/bitbuffer.c 2003-01-30 21:53:18.000000000 +0100 @@ -51,6 +51,25 @@ */ static const unsigned FLAC__BITBUFFER_DEFAULT_CAPACITY = ((65536 - 64) *

Hi all, I've read the emails of Dan, Deepayan and Sundar about adding error bars to the lattice plots ( https://stat.ethz.ch/pipermail/r-help/2006-October/114883.html), but I still have the problem when I want to adding error bars to barchart. I tried both the solution of Deepayan and Sundar but without luck. Here is my code (I changed prepanel.ci and panel.ci a little to plot bars

The following works fine with the x11 device, though it may well be that an initial plot is overwritten. With a pdf or postscript device, I get two plots, the first of which still has the red border from having the focus, while the second is the plot that I want. library(lattice); library(grid) plt <- xyplot(uptake ~ conc, groups=Plant, data=CO2) print(plt)

Hello everyone I have dataset containing a monetary value (ABS) and two factors (Fct, Group). I am able to create useful using: bwplot(ABS~Group|Fct) and dotplot(ABS~Group|Fct) Question: What do I have to do to overlay the dotplot with the bwplot (same data set)? I've found a couple of posts that hinted at the possibility of doing that, and checked the panel.superpose() help, but the info

I would like to plot 3 best-fit models in a single panel of a lattice plot, superimposed on 3 corresponding datasets in the same panel. My goal is to show the models as lines of 3 different colors, and the data as points whose colors correspond to the model colors. In essence, I have two levels of grouping: 1) model vs. data, and 2) model number. Since there is only one ?groups? variable, I

Hello everyone I have dataset containing a monetary value (ABS) and two factors (Fct, Group). I am able to create useful using: bwplot(ABS~Group|Fct) and dotplot(ABS~Group|Fct) Question: What do I have to do to overlay the dotplot with the bwplot (same data set)? I've found a couple of posts that hinted at the possibility of doing that, and checked the panel.superpose() help, but the