similar to: Adding reference lines to xyplot

Dear R-users, I am trying to create a multipanel scatter plot which displays weighted regression lines for each subgroup. I am having diffuculty figuring out how the Trellis multipanel plotting functions work, in general. Does someone know where there are some beginners examples on how to create and use panel.xxx functions in conjunction with the xyplot functions? Back to the matter at hand

sorry, I had a typo there, it's datadist(b) for the analysis of data frame "b". --- Robert Balshaw <Robert.Balshaw at syreon.com> wrote: > Not sure if this will help, but did you mean to use > datadist(a) for > the analysis of B? > > Rob > > > -----Original Message----- > > From: r-help-bounces at stat.math.ethz.ch > >

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 <-

I wish to create a multipanel plot (map) from several datasets ("d" and "q" in the example below). I can condition the main xyplot statement on the "site" variable, but I don't know how to pass a conditioning variable to panel.xyplot plot so that the x-y coordinates from dataset q are only plotted at the appropriate site. library(lattice) d <-

I'm using R V 2.2.1. When I try an example from the as.Date help page, I get an error. > x <- c("1jan1960", "2jan1960", "31mar1960", "30jul1960") > z <- as.Date(x, "%d%b%Y") Error in strptime(x, format) : 2 arguments passed to 'strptime' which requires 3 > Any suggestions would be appreciated. Thanks, Rob

The following: library(grid) grid.newpage() example(Grid) has the yaxis label partly cut off and the x axis label does not appear at all. Also ?grid.multipanel in that example brings up documentation for grid-internal but this would not seem to be internal if its part of an example. I am using: > R.version.string # Windows XP [1] "R version 2.2.0, 2005-09-20"

Dear All I have a problem with the height of the boxes in the key in the following. (The text is over 2 lines to accentuate the problem of no space between the rectangles.) Is there an easy way to put a space between the rectangles; size controls the width but there appears to be nothing for the height? xyplot(1~1, key = list(corner = c(0.8,0.8),

Hi R experts, I'm using the xyplot function in lattice to draw a multipanel plot consiting of 5x6 scatterplots. Now I need to link single points in each of those scatterplots (=panel),but the points, that need linking are different for each panel. I tried to use the panel.segments function for that, but I can't address each panel separately. Links right for panel 1, show up in all other

Is there a simple way to specify a theme or trellis (lattice) parameters so that, in a multipanel (conditioned) plot, there is no color and in the strips there is no shading? This is the effect achieved on page 124 of Deepayan Sarkar's "Lattice" (figure 7.2). I managed to trick lattice into making a grayscale plot on my interactive display as follows: > graphics.off() >

I cannot achieve a multipanel display of several levelplots. Here is part of my code. At first, create the layout: push.viewport(viewport(layout=grid.layout(1, 2))) Then for the left panel: push.viewport(viewport(layout.pos.col=1,layout.pos.row=1)) push.viewport(viewport(width=0.6, height=0.6)) levelplot(z~x*y, grid) pop.viewport() Similar code for the right panel. However, there is always

As usual, the R newsgroup set me straight (thanks to Douglas Bates, Robert Balshaw and Albyn Jones). There is really no difference between using orthogonal polynomials of the form: Linear -3 -1 1 3 Quadratic 1 -1 -1 1 Cubic -1 3 -3 1 Versus > poly(c(1:4),3) 1 2 3 [1,] -0.6708204 0.5 -0.2236068 [2,] -0.2236068 -0.5 0.6708204 [3,] 0.2236068

Hi, How might I use xyplot to plot segments where the segments are in the input data? (ie a directed acyclic forest). Here's an example in base graphics: n = data.frame(id = c(1,2,3,4), parent = c(0,1,2,2), value = c(5,5.5,7,3), date = c(1,2,3,3.5)) plot(n$date, n$value) do.call( segments, with( merge(n,n,by.x="parent", by.y="id"),

Dear R-projects users I would like like to ask if there is any way to produce a multipanel plot with the filled.contour function. In the help information of filled contour it is said that this function is restricted to a full page display. With kind regards Prodromos Zanis -- **************************************************** Dr. Prodromos Zanis Centre for Atmospheric Physics and

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Estimado Javier, adjunto el grafico retocado con GIMP, borre las lineas que sobran en cada panel. Obviamente, no es la idea hacerlo de este modo, sino con R, pues quiero cambiar el color de la recta y hacer varios otros graficos, cuya edicion manual requeriria mucho tiempo. Espero entiendas mejor mi explicacion ahora. Cada una de esas rectas es un

Hello, Is possible to place a label on a multipanel figure outside the boundaries of any single one of the existing graphs in a panel? Specifically, I have a function that creates a panel with quartz() and then fills it with 6 graphs consisting of exactly the same plot for 6 different groups. I would like to add one title for the entire figure at the top of the figure, but I cannot figure out

Hi, I'm making a multipanel lattice densityplot figure with 2 factors (3 and 20 classes in each factor) with the following statement (the type="percent" is there to prevent plotting the actual points which detract from the figure - is there another way of doing this?): densityplot(~End-Begin | Type * Chromosome, data=Mon, layout=c(5,12), xlab="Element

I want to plot biplots. I have seen the function biplot, but there are some extra features I would like, that I do not know how to achieve. 1. My observations, and my variables, fall into groups. Is there a way to, say, plot the observations in several different colours, according to which group the observation falls into? Similarly with the variables? I am used to the lattice idiom, in which one

Dear list members, i am trying to create multiple figures with identical layout (i.e. font sizes etc.) for a publication created with Latex. To do so (i.e. to get identical font sizes) I save all plots as a pdf with widths and heights as they would later appear in the paper (to prevent scaling etc.). My problem now is that I create several multipanel plots with par(mfrow=c(...)) which sometimes

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Estimada comunidad, tengo que hacer un grafico con 4 paneles (4 graficos pegados juntos) y sobre este tengo que dibujar 4 rectas ajustadas a los datos de cada panel. Intente hacerlo con lattice usando el siguiente codigo : library(lattice) library(latticeExtra) xYplot(Cbind(mf[,3],mf[,5],mf[,6])~dia|factor(sol),data=mf,xlab="Time

Hi everybody, I want an x-axis which has xlim=c(max, min) rather than xlim=c(min, max) in order to reflect the type of the process (cooling): library(lattice) myprepanel <- function(x,y,...) list(xlim=rev(range(x))) x <- rep(1:10, 100) z <- factor(sample(10, 1000, T)) y <- rnorm(1000, x, as.numeric(z)) xyplot(y~x|z, scales=list(x="free"), prepanel=myprepanel) This works