similar to: error bar plot with log scale in lattice

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

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

All, I'm trying to adapt some code provided by Deepayan Sarkar from a previous thread (https://stat.ethz.ch/pipermail/r-help/2005-October/081571.html) on this topic. ## This code produces a graph w/o error bars: xyplot(Y ~ Hr, data, groups=DRUG, panel=function(x,y,...){ panel.xyplot(x,y,..., type=c("g", "l") ) panel.points(x,y,..., pch=16,

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 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)

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. 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

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.

After a long and winding road (sorry but I'm a novice) I get to a final result which is quite close to what I need; nevertheless I would like to tweak a little further the xyplot so that I can get ***for each single panel defined by variable z*** a finer control over: -the x and y the limits: I would like to be the same for both axes; -the number of thick marks: again I would like to be same

Dear list member, I struggle with the problem, why the probabilities of choosing one of three mutually exclusive alternatives don?t sum up to 1! Let?s assume we have three alternatives X, Y, and Z. Let?s further assume we know their respective utilities: uX, uY, uZ. I?m interested in calculating the probability of choosing X, Y, and Z. Since I assume that the alternatives are mutually

Hi, How to unlist list column value and add column into data frame. Data frame ID ContractDe PassengersDe TrainnerDe 1 list(ConID=c("Zx","78yu"),ConRes = c("98","Tut")) list(PassID

Dear R-users, i want to plot gene regulation data in a lattice barchart. To illustrate the problem i encounter, the following code uses the "barley"dataset: library(lattice) barley[["SD"]] <- 5 PLOT <- barchart(data=barley, yield~variety|site, groups=year,origin=0, as.table=TRUE, scales=list(x=list(relation="same", rot=30), y=list(alternating=3,tck=-1)),

This is the qqmath example from the lattice package. I added the scales to the example. I would like to switch the axis and not sure how? Meaning I would like the "height" on the x-axis and the probability on the y-axis. Will you show me the correct syntax for this switch thanks. qqmath(~ height | voice.part, aspect = "xy", data = singer, prepanel =

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 all, I am just learning R and I am trying to work through the book "Applied Longitudinal Data Analysis" by Singer & Willett. I have some code for this book that supposedly works in S-Plus (I don't have S-Plus so I can't verify that) and I am trying to run the examples in R. Most of the examples run, but I have one plot that gives me an error message. I have

Dear R-users, I'd like to place an xyplot() at the top of a page and a levelplot() at the bottom of the same page, and have the x-axes be the same. I've come close to finding a solution through Rarchive, and can produce an upside-down version of what I'd like (levelplot() on the top - see code below). However, the following error occurs when I try and plot the xyplot() at the top:

How do I specify a "tight" y-axis, where the plot completely fills the y-axis range, inside the prepanel function? For example, consider the following code: require(lattice) set.seed(12345) x <- 1:1000 y <- cumsum(rnorm(length(x))) prepanel.test <- function(x, y, groups = NULL, subscripts = NULL, ...) { if (is.null(groups)) { result <- list(ylim = range(y)) }

Hi, I'm trying to develop an histogram method for a class called "FLQuant" which is used by the package FLCore (http://flr-project.org). FLQuant is an extension to "array". There is an as.data.frame method that coerces flquant into a data.frame suitable for lattice plotting. The problem is that when I coerce the object and plot it after it works but if the method is

Hi, I'm trying to develop an histogram method for a class called "FLQuant" which is used by the package FLCore (http://flr-project.org). FLQuant is an extension to "array". There is an as.data.frame method that coerces flquant into a data.frame suitable for lattice plotting. The problem is that when I coerce the object and plot it after it works but if the method is