similar to: lattice panel.linejoin type question

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

Dear list, Is there a way to reorder the xaxis using lattice. Using the following data, the x-axis is ordered as BP GH MH PF RE RP SF VT but I would like the x-axis to be ordered as PF RP BP GH VT SF RE MH. Kön Skalor Tillfälle Medelvärde 1 Kvinnor BP 1-inskrivning 36.45283 2 Kvinnor GH 1-inskrivning 38.62255 3 Kvinnor MH 1-inskrivning 62.88889 4

Hi List, Am trying to customize a legend in trellis: Draws 2x5 lines in 5 colors and 2 linetypes. I would like to add two more items to the legend showing the key for the line types above the colored legend. Any suggestions welcome - thanks Herry ############################# #Following example code: library(gregmisc) trellis.device(bg="white") i1=0 i2=-1.89767506 i3=-1.17087085

Hi, I am having an issue with a custom panel for lattice. The problem comes when I try passing a groups argument. Here is the custom panel, a wrapper for smooth spline. I copied panel.loess and replaced the loess arguments with smooth.spline(). [Note: I would like to use the cross-validation fitting properties of smooth.spline.] library(lattice)

Dear list, I have following plot, where I have set the color (red and green) and lines (lty=2:3) in the panel.groups but can't not figure out how change the lines and color of the legend in the "key" to the same lines and color as in the panel.groups. bwplot(means ~ age | scales , dat, panel = "panel.superpose", groups = sex,scales = list(x = list(rot =

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

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 <-

Thank you for providing advice on this graphics question. I am building an interaction.plot. d=data.frame(xx=c(3,3,2,2,1,1),yy=c(4,3,4,3,4,3),zz=c(5.1,4.2,4.4,3.5,3.3,-1.1,-1.3) d[[1]]<-as.factor(d[[1]]) d[[2]]<-as.factor(d[[2]]) print(d) interaction.plot(d$xx, d$yy, d$zz, type="b", col=c("red","blue"), legend=F, lty=c(1,2), lwd=2, pch=c(18,24),

hi I plot a series of observation data every minutes in a day as the attachment below plot(wnd,type='l',lty=1,col='red',lwd=1,xlab=xxlab,ylab=yylab,ylim=YY) In the figure, the x-axis tickment is the number of data How can I change it fore example 1h 2h 3h 4h and so on ? -- TANG Jie Email: totangjie at gmail.com Tel: 0086-2154896104 Shanghai Typhoon Institute,China

On Mon, 15 Jul 2002 08:39:05 +0100, Paul Hewson <PHewson at devon.gov.uk> wrote regarding "RE: [R] lattice question: adding slopes to bwplot" Hi, Thanks. It made sense indeed: enough to discover the panel.linejoin function which does what I was looking for. <error here> I also understand now why I didn't find this, and associated, routine:

Dear R community, I am still new to R, but I am attempting to use it for (hopefully) all my plotting needs. I have been using lattice and Hmisc for most plots so far successfully, but I need help creating a plot I desire for some new data I have. This data frame consists of the same type of measurement (Eh) for 27 different locations. I have 8000+ measurements for each location, and my

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

Hi folks, I need some help in customizing the abline() function to be used in a lattice plot. I have attached a reproducible example below. I need help in the following snippet: disc <- xyplot(cnt_gt50pct_disc ~ week_num|sku_num, data=DF,type = "h",lwd=2,panel = function(...) { panel.abline(v = 8, lty = 2) panel.xyplot(...) }) Is there a way I can give

Hi Dears, When I introduce an interaciton in a piecewise model I obtain some quite unusual results. If that would't take u such a problem I'd really appreciate an advise from you. I've reproduced an example below... Many thanks x<-rnorm(1000) y<-exp(-x)+rnorm(1000) plot(x,y) abline(v=-1,col=2,lty=2) mod<-lm(y~x+x*(x>-1)) summary(mod) yy<-predict(mod)

Hello - and sorry for what might look like a simple graphics question. I am building an interaction plot for d: d=data.frame(xx=c(3,3,2,2,1,1),yy=c(4,3,4,3,4,3),zz=c(5.1,4.4,3.5,3.3,-1.1,-1.3)) d[[1]]<-as.factor(d[[1]]) d[[2]]<-as.factor(d[[2]]) print(d) interaction.plot(d$xx, d$yy, d$zz, type="b", col=c("red","blue"), legend=F, lty=c(1,2), lwd=2,

Hello, I would like to change the background color in only -one- of the strips in a multipanel lattice xyplot, from the default yellow-brown color. Until now, I only managed to change the background strip color in all of the strips using the par.settings, but I do not get it to work for only 1 strip. Below is the current code I am using. The resulting plot is here:

Hi all. I would like to highlight overlapping regions of two densities and I could not find a way to do it. Here is the sample code: myd <- c(2,4,5, 4,3,2,2,3,3,3,2,3,3,4,2,4,3,3,3,2,2.5, 2, 3,3, 2.3, 3, 3, 2, 3) myd1 <- myd-2 plot(range(density(myd)$x, density(myd1)$x), range(density(myd)$y, density(myd1)$y), type = "n") lines(density(myd), col=1, lwd=4)

Hi Everyone, I would like to add errorbars to a lattice plot. I already have a function that adds error bars to a plot (originally written by George Gilchrist) which takes as arguments the coordinates of the point and then the size of the error bar. I would like to integrate it in my lattice code but I seem to be stumped. I can put the error bar function inside my code as if it were a panel

I'm fitting data from a mixture experiment, and I'd like to present the results in a ternary graph with contours. I found this code by Walmes Zeviani http://n4.nabble.com/Triangular-filled-contour-plot-td1557386.html which is just what I want--except I would like the axis titles and labels to be proportionately larger than the ternary graph itself, for legibility in publication. When I

Dear All, I am using xyplot() with many groups like this: statselect <- levels(dat$stat) xyplot(relmse~T|lambda, groups=stat, data=dat, panel = panel.superpose, key=simpleKey(statselect, lines=T)) However, I want lines not scatterplots and if I set panel.groups=panel.linejoin that connects the lines according to the relmse and not according the consecutive values of T. Is there