similar to: define colors for groups in lattice xyplot

Hi: In lattice, how does one handle separate graphical behavior for two different factors? In the xyplot below, the objective is to use the levels of one factor to distinguish corresponding shapes and colors, and the levels of the other factor to perform level-wise loess smooths. # Illustrative data: d <- data.frame(time = rep(1:8, each = 6), val = rnorm(48), gp1 =

Hi, I have binary (0,1) data for a trait as my response variable, and a dependent variable, genotype, with three classes (AA, AB, BB). I would like to plot this data so that across the three genoytpes, even though the points are all either 0 or 1, i want them to stack up or be seen using 'jitter'. So far I have been able to do this using xyplot {lattice} (code below) but could not get

All, I have data across 5 time points that I am graphing via xyplot, along with error bars. For one of the variables I have missing data for two of the time points. The code below is okay but I can't seem to get the lines to connect across the missing time points. Does anyone now how to rectify this? Cheers, David Afshartous library(lattice) ## the data junk = data.frame( Visit =

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

Hola, Por si lo quieres con colores rellenando cada punto: #---------------- library(data.table) library(lattice) dat <- read.table("pba.csv", header=TRUE, dec=",", as.is=TRUE) row.names(dat) <- NULL dat <- as.data.table(dat) dat$mycol <- ifelse(dat$sol =="ControlAE", "red", dat$sol) dat$mycol <- ifelse(dat$mycol

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

Full_Name: Carsten Dormann Version: 1.4.0 OS: Windows 2000 Submission from: (NULL) (192.171.129.9) Hello, using the function xyplot I repeatedly had R crashing. One example is from the book of Mick Crawley (Stat. Computing in Splus), where the commandline reads: xyplot(Weight~Age|Genotype, pch=16) I also had the same phenomenon with my own data and commands even simpler. I reinstalled

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 <-

Dear R users, I am trying to use xyplot to draw group mean and CI. The following is the sample code. But I want: 1. Use different colors and symbols to draw individual points, CI and the lines connect group means from different time points; 2. Add jitters to x axis to allow CIs not be overlapped Could anyone modify the attached code to achieve this? Thanks library(lattice)

Estimada comunidad, estoy tratando de hacer un grafico y no resulta (adjuntos datos). Se grafican la vble "con" en el eje X y "can" en el eje Y. Se agrupa por la vble "sol". Se deben agregar como lineas horizontales los valores de "can" asociados a "sol" "ControlAE" y "ControlAB", para lo que uso panel. Pero al agregar

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

I'm using xyplot in a very simple way---a scatter plot of several data sets. I'm having a problem getting auto.key to display different point characters. The following produces a plot that employes different colors, all with pch(1), for the different groups, with a matching key. xyplot(Force~Time, rawData, groups=Sample, panel = panel.superpose, auto.key=TRUE) The following

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

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 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),

Hi All, I have a panel xyplot with 2 lines in each panel. I'd like to label one line only but don't know how to do this. The code below labels both lines. Any ideas how I could change it to show the y-values of only one of the lines? Many thanks! xyplot(apples + bananas ~ year | category, data=fruit, as.table=TRUE, par.strip.text=list(cex=1.2,font="bold"), par.settings =

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,

Hi all, I'm trying to plot error bars in a lattice plot generated with xyplot. Deepayan Sarkar has provided a very useful solution for simple circumstances (https://stat.ethz.ch/pipermail/r-help/2005-October/081571.html), yet I am having trouble getting it to work when the "groups" setting is enabled in xyplot (i.e. multiple lines). To illustrate this, consider the singer data

Dear list, I've been trying this for a few hours and I just don't understand how lattice works with groups and subscripts. Consider the following example, > xx <- seq(1, 10, length=100) > x <- rep(xx, 4) > y <- c(cos(xx), sin(xx), xx, xx^2/10) > fact <- factor(rep(c("cos", "sin", "id", "square"), each=100)) > fact2

I would like to use lattice graphics to plot multiple functions (or groups or subpopulations) on the same plot region, using different line types "lty" or colors "col" to distinguish the functions (or groups). In traditional graphics, this seems straightforward: First plot all the data using 'type="n"', and subsequently execute a series of "points"