similar to: Connecting lines across missing data points, xyplot

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 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

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,

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 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

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 <-

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

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

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

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:

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,

I have the following graphic where I drop unused factors in the x axis, however I cannot get the first point on the second panel. It seems shifted. Any ideas? The example is below: data <- data.frame( Room=as.factor(c(132,132,132,132,132,132,132,132,132,196,196)),

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

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

All, I'm re-running some analysis that has been augmented with additional data. When I use the exact same code for the augmented data, the behavior of the aggregate function is very strange, viz., one of the resulting variables is now coded as a factor while it was coded as numeric for the original data. Unfortunately, I cannot provide a reproducible code example since it only seems to occur

Dear R users, this is a follow up of this message http://tolstoy.newcastle.edu.au/R/e6/help/09/05/13897.html I'm reproducing the core of it for convenience. > // > / data(Oats, package = "MEMSS") / > / tp1.oats <- xyplot(yield ~ nitro | Variety + Block, / > / data = Oats, / > / panel = function(x, y, subscripts, ...) { /

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