similar to: Error bars within xyplot, panel = function(x,y, ....)

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 =

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

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

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)

Hi, all, I'm trying to modify the code to a log scale for y-axis from the post http://tolstoy.newcastle.edu.au/R/help/06/06/28612.html However, the error bar did not change accordingly. The following is the code I used based on the singer.ucl data. Thanks in advance! prepanel.ci <- function(x, y, ly, uy, subscripts, ...) { y <- as.numeric(y) ly <-

Hello, I am attempting to write a script that adds error bars to a barchart. I basing my attempt heavily on the following thread: http://tolstoy.newcastle.edu.au/R/e2/help/06/10/2791.html I can't seem to get around the problem that was discussed in the thread. The following example should illustrate my problem. Sorry about the messy example but I am 1) trying to make it as close as possible

Hi. I've got a lattice plot with multiple panels and two groups superimposed on each panel. Each panel has an independently scaled y-axis (scales = list(relation = "free")). I've successfully put up 95%CI error bars using panel.arrows (and some help from the mailing list). My question is whether I can "unscale" the arrowheads so that they appear to have the same

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),

First a bit of background: After doing a search for a flexible polar plot function and coming up empty, I have begun writing one myself. Since I am new to writing mid-level graphics routines, this has required some learning about lattice, grid and related things. I am to the point where I have a workable proof of concept, but still need to make some improvements. My goal is to have

Full_Name: Volker Franz Version: 1.5.1 OS: Debian-Linux Submission from: (NULL) (134.176.77.64) Hi, working with the panel.superpose function, I found out that this function does not pass the subscripts and groups arguments to panel.groups functions. In my view, this seems an unnecessary restriction, because the subscripts-mechanism which allows to access the original data should also work if

Dear all, I'm trying to replicate the panel function behaviour that Deepayan and others discuss here: https://stat.ethz.ch/pipermail/r-help/2007-April/130779.html and Oscar Lamigueiro refers to here and provides sample code for: http://www.r-bloggers.com/confidence-bands-with-lattice-and-r/ where a polygon is generated around lines on panels to display the confidence interval bounds for

Dear List, I am writing a custom panel function and xyplot method to plot the results of a procrustes analysis from the vegan package. I am having trouble getting the call to panel.arrows to work as I wish when conditioning. The attached file contains the function definitions for the xyplot method and the custom panel and prepanel functions I am using. This example, using data and functions from

Hi: Yesterday, I posted a question regarding how to handle different graphical behavior between two factors in xyplot() [package lattice]. After a public and private reply from Deepayan Sarkar, the problem has been resolved nicely, including the addition of a stacked legend for the two factors in question. The latter requires package latticeExtra. library(lattice) library(latticeExtra) # Test

Dear R users, About a year ago Deepayan offered a suggestion to incorporate error bars into a dotplot using the singer data as an example <<http://finzi.psych.upenn.edu/R/Rhelp02a/archive/63875.html>>. When I try to utilize this code with a grouping variable, I get an error stating that the subscripts argument is missing. I have tried to insert them in various ways, but cannot

Hi, We had some exchanges off the list with Deepayan Sarkar about a bug (?) we cannot fix (it seems it does not occur under Unix). It likely needs the help of somebody on Windows. The initial problem was that when running the following script (Windows XP, R 1.8.1 as well as R 1.9.0): > lset(col.whitebg()) > xyplot(rdens ~ annee | habitat, > groups = sp, type = 'b', >

Dear R Gurus! I would like to generate a multi-panel plot with grouped and reference lines in each panel .. Example dataset and code are provide below. Where am I getting wrong in the code below? Any assistance will be highly appreciated. Thanks so much! -Santosh --------start dataset ------- X,l,y1,y2,y3,y4,f -99,15,0.178,0.127,0.152,0.116,a 0,0,0.218,0.12,0.174,0.145,a

Dear useRs, I have a longitudinal experiment with several treatment groups, ~20 subjects per group, ~6 timepoints and a continuous dependent variable. I have been successfully been using lattice::xyplot with this data. However, I have been stumped with a particular application of it. I would like to use xyplot on my data, broken into treatment groups with the groups argument, using

As you may not be surprised to hear, no sooner did I post the previous message than I realized I had a really dumb mistake. I've now gotten a bit farther but am still stuck. New code: graph <- function (x, data, groups, xlab) { pg <- function(x, y, group.number, ...) fnord body(pg) <- substitute({ panel.xyplot(x, y, ..., group.number=group.number) panel.text(2,

Hi, The problem is that I would like to do an interaction plot with intervals based on Tukey's honestly significant difference (HSD) procedure, but I do not know how to do it in R. I have 3 factors "A", "B" and "C" and a response variable "response". I would like to study a model where there are main effects and second order interaction effects.

Hola, Lo puedes hacer utilizando el parámetro "groups=ID". Mira el ejemplo de xyplot equivalente: xyplot(decrease ~ treatment, OrchardSprays, *groups = rowpos*, type = "a", auto.key = list(space = "right", points = FALSE, lines = TRUE)) Saludos, Carlos Ortega www.qualityexcellence.es El 30 de julio de 2013 17:47, Manuel Ibarra