similar to: Assigning line colors in xyplot

Dear List, I try to make a xyplot with different colors and symbols, I came this far: library(DAAG) xyplot(csoa~it|sex*agegp,data=tinting,groups=target,pch=list(1,2),auto.key=list(space = "right")) this produces a plot with different colors and symbols but unfortunately the legend does only follow the color scheme and not the different symbols. Any suggestions what to change? And

Hi All, I am trying to use xyplot to plot several lines in one panel with red color for a group of lines, say 3 lines and blue color for another group of lines, say 4. I know this can be easily done using regular plot function. But i could not figure out how to do this in xyplot. Any help would be greatly appreciated. Xuesong [[alternative HTML version

Dear R gurus.. Is it possible to control span settings for different values of a grouping variable, when using xyplot? an example code shown below d=data.frame(x=rep(sample(1:5,rep=F),10),y=rnorm(50),z=rep(sample(LETTERS[1:2],rep=F),25)) xyplot(y~x,data=d,groups=z,panel=panel.superpose,panel.groups=panel.loess(span=c(2/3, 3/4,1/2)) or something like..

Dear all, Lattice provides automatic coloring for subgroups on each panel by the simple use of a groups statement. For an application I want to change these colors to a predifined set. This works well using a panel function in stead of the default as long as there are only points in the graphs. When I set type="b" things get messed up. Any idea why? I include sample code for

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),

Dear R-users, has anybody combined the glm function with the Newey-West estimator of variance, similar as in Stata 7.0? I'd like to estimate corrected standard errors within a logistic regression model, taking into account the auto-correlated binary observations within individuals. I use R1.5.1 on Mac OS X (10.2). Thanks, Christof

Hi, how can I make the point characters thicker (NOT larger) in xyplot when groups= argument is used? dat<-data.frame(x=1:100,y=1:100,group=rep(LETTERS[1:5],each=20)) ### lwd=2 doesn't work here xyplot(y~x,groups=group,data=dat,col=1:4,pch=1:4,lwd=2) ### lwd=2 works with panel.points(), but grouping is messed up! xyplot(y~x,groups=group,data=dat,col=1:4,pch=1:4,

I'm having trouble with the order of the panels using xyplot. I had used this bit of code before and received the desired plot (the code was not identical, but very similar; perhaps more importantly I was working with an older version of R) . Now the panels appear right to left instead of left to right, as it says in the help files, which is what I would like. Does anyone know if this has

using either one of the following codes: xyplot(X ~ time | center, type="l", panel=panel.superpose, groups=subject, col = treatment) xyplot(X ~ time | center, groups = subject, panel = function(x, y, ...){ panel.superpose(x, y, col = treatment, type = "l", ...) }) I get two different colours for the lines by these colours do not match the corresponding treatment

Dear listers, Let use say that I want to display the Pixel dataset (in the NLME library) xyplot(pixel~day|Dog, groups=Side, data=Pixel, panel=panel.superpose, panel.groups=panel.xyplot, type="b", pch=16) (I know, there are better examples, ...) Now, how could I change the colours of the symbols accordingly to another factor changing within subject and side form time to time? (let us

Hi, R is very new for me, so excuse if my questions are too basic... BTW, are there any forum where new R users could get help without annoying this huge mailing list ? In following code, I'd like to choose the color for each of the curve diplayed. png(filename = filename, width = 950, height = 600, pointsize = 10, bg = "white") xyplot(HITS+MS1*3+FREQ~TIME

Dear community, I am looking for a possibility to draw 'regression lines' instead of 'smooth' lines in grouped xyplots. The following code should give you a small example of the data structure. library(lattice) data(Gcsemv, package = "mlmRev") # Creates artificial grouping variable ... Gcsemv$Groups <- ifelse(as.numeric(as.character(Gcsemv$school))>65000,

Hi xyplot(y ~ x | subject) plots a separate graph of y against x for each level of subject. But I would like to have an own function for each level. Something like xyplot(y ~ x | subject, panel = function(x,y) { panel.xyplot(x,y) panel.curve(x,y) { # something that dependents on the current subject ... } }) How I get the current

Hello, I would like to display two groups of dots in different colors or style and additionnaly a linear regression for all the dots in panel plots of a Trellis graph. Actually to get in each panel the equivalent of: plot(x[mois==3],y[mois==3],col="blue") points(x[mois==9],y[mois==9],col="red") abline(lm(y~x), col="green") "mois" being a grouping

All, When specifying colors to xyplot w/ a groups argument, using auto.key no longer maintains the colors properly. I've searched the docs and help but haven't found exactly what I need ... I saw a few examples in the archives involving par.settings but that doesn't seem to do it. I also saw some people using key instead of auto.key, but that didn't seem consistent. Is there a

If I wish to color groups in xyplot I can do this: library(lattice) x <- 1:10 y <- cbind(x, x+1) xyplot(y ~ rep(x,2), group = col(y), col = 1:2) How do I color different points differently within a group. For example, I want to produce this plot (except that I only want to have two groups, not 11): xyplot(y ~ rep(x,2), group = c(rep(1, 10), 2:11), col = 1:11) I am

Dear All, I wonderif there is a simple way to draw a regression line in the xyplot: more specifically, let: age <- c(20:30, 31:40 ) age.cut <- cut(age, breaks = 2 ) y<- rnorm(20) x <- rnorm(20,4,1) xyplot(y ~ x| age.cut, xlab="x", ylab="y") How to draw (in the plot given by xyplot) the two regression lines (y ~ x) corresponding to the two category

All I want to overlay two variables on the same plot following their appropriate grouping. I have attempted to use subscripting in panel with panel.xyplot, but I can't get the grouping to follow into the panel...here is an example... dat<-data.frame( y= log(1:10), y2=10:19, x=1:10, grp = as.factor(1) ) dat2<-data.frame( y= log(10:19), y2= 20:29, x=1:10, grp = as.factor(c(2)) )

Dear R Users, I have an xyplot() where different plotting symbols are used for subgroups (originally used within S-Plus, but hopefully it?s also applicable to R users). How can I fit separate regression lines for every subgroup? So far, I can only plot the overall fitted line. The code looks like this: trellis.device() sps<-trellis.par.get("superpose.symbol") sps$pch<-1:7

Hi all, Using xyplot I want to print to Y variables (y1, y2) versus X, conditional on the group. How can I obtain a line (type="l") for one relationship (ie. y1 ~ x) and points (type="p") for the other (y2 ~ x) ? library(lattice) # create some sample data df<-data.frame(group=as.factor(c(rep("a",4), rep("b",4))), # grouping variable for conditional