similar to: How to insert gridlines in lattice density plot

Hi, I have sort of a newbie question. I've seriously put a lot of effort into how to handle simple replicates in a repeated ANOVA design, but haven't had much luck. I really liked reading "Notes on the use of R for psychology experiments and questionnaires", by Jonathan Baron and Yuelin Li ( http://www.psych.upenn.edu/~baron/rpsych/rpsych.html ) but still didn't run across

In the example R script below, horizontal gray gridlines are drawn at y coordinates where the points are drawn with the code: panel.abline(h=y, v=xScale, col.line="gray") How do I change this so that the horizontal gray gridlines are drawn at y coordinates where the y labels are drawn? The challenge is that each panel has different y-ranges (in my real example the y-ranges and

I have been using lattice xyplot and am quite pleased, and I can use the type=c("b","g") to have it print gridlines into the page, yet if I want to have a line plot with points on it, how do I get the xYplot to print gridlines (I use Hmisc xYplot because of its bands method which allows plotting of confidence intervals). Any suggestions? I have looked at the panel functions but

Hello! I promise I looked into help files before asking. Still cannot figure it out. I think it's because I am totally confused what packages use lettice, which use trellis, etc. Sections 1 and 2 below produce the data and the data to plot. My question is about barplot in Section 3. I am trying to: 1. add only horizontal gridlines and manipulate the type and color of that line. tck = 1 is not

Thank you for providing advice on this graphics question. I am building an interaction.plot. d=data.frame(xx=c(3,3,2,2,1,1),yy=c(4,3,4,3,4,3),zz=c(5.1,4.2,4.4,3.5,3.3,-1.1,-1.3) d[[1]]<-as.factor(d[[1]]) d[[2]]<-as.factor(d[[2]]) print(d) interaction.plot(d$xx, d$yy, d$zz, type="b", col=c("red","blue"), legend=F, lty=c(1,2), lwd=2, pch=c(18,24),

dear all, I have a very simple question but I could not figure out. I need to make plots with grid in the background. something like I old retrive like this a=runif(100)*10 b=runif(100)*10 plot(a,b, pch=20, xlim=c(0, round(max(a))), ylim=c(0, round(max(b)))) vs=seq(0, max(a), 0.5) for(i in 1:length(vs)){ abline(v=vs[i], col="lightgrey") } hs=seq(0, max(b), 0.5) for(i in

First, I compliment you all for such a useful project as R. Suggestion: If read.table() could take input from a character string, then one could write raw= " x y z 1 2 3 4 5 6 " df = read.table(raw,head=TRUE) Of course, one can cat() to write raw into a temporary file, and read.table() from that file. However, direct reading might be a good option? Hope this is

This is the specific error messsage from R CMD check --as-cran Error in .check_ncores(length(names)) : 16 simultaneous processes spawned Calls: prepost -> makeCluster -> makePSOCKcluster -> .check_ncores Execution halted Thanks, Ravi ________________________________ From: Ravi Varadhan Sent: Saturday, July 1, 2023 1:15 PM To: R-Help <r-help at r-project.org> Subject: Number

Greetings, The aov() function may mislabel the random effects as in the example below: Has anybody else noticed this? Cordially, Giles Crane, MPH, ASA, NJPHA gilescrane at verizon.net > m2 Call: aov(formula = y ~ ap + pe + Error(ju), data = d) Grand Mean: 77.50667 Stratum 1: ju Terms: ap Sum of Squares 4322.538 Deg. of Freedom 12 13 out of 25 effects not

library(ggplot2) melt.updn <- (structure(list(date = structure(c(11808, 11869, 11961, 11992, 12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996, 13057, 13149, 11808, 11869, 11961, 11992, 12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996, 13057, 13149), class = "Date"), variable = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,

Full_Name: Giles L Crane Version: 2.8.0 2008-10-20 OS: Windows XP Submission from: (NULL) (71.168.215.186) paste(rep(" ",10),sep="") [1] " " " " " " " " " " " " " " " " " " " " As I read the documentation for paste(), this should have produced " " that is,

Dear friends - this is a very simple question - I have a data frame 'data.frame': 87 obs. of 3 variables: $ ID : int 1 1 1 2 2 2 3 3 3 4 ... $ prep : num 1.18 1.38 1.34 1.93 2.38 2.24 1.17 1.13 1.21 1.89 ... $ postp: num 0.63 0.71 0.75 1.01 1.12 1.07 0.87 0.64 0.7 0.8 ... - 29 persons (ID) each measured three times before and after an intervention: prep and postp - I need

Hi all, I'm trying to get a vertical line at a specific point in a densityplot. abline seems to be what's required, but it doesn't align itself to the scale used in the plot. example: library(lattice) x<-rnorm(100) plot.new() densityplot(x) abline(v=0) ----- The line seems to use some other coordinate system. What kind of call do I use to make abline use the graph's

I'm trying to use a lattice function within a function and have problems passing the "groups" argument properly. Let's say I have a data frame d <- data.frame(x = rnorm(100), y = c("a", "b")) and want to plot variable x in a densityplot, grouped by the variable y, then I would do something like densityplot(~ x, d, groups = y) If however I wanted to

Hi, I have created two separate overlapping density plots- see example code below. What I wish now to do is combine them into one figure where they sit side by side. Any help would be great! many thanks in advance, josh. ##################### thedataA <- data.frame(x1=rnorm(100,1,1),x2=rnorm(100,3,1)) #create data thedataA.m<-melt(thedataA) densityplot(~value, thedataA.m,

Hi, I have the following script: ---- t.R --- grafica <- function() { v <- read.csv('preprocessed/komolongma.ece.uprm.edu.active',sep=',') x <- as.ts(v$active) bitmap(file="output.png") densityplot(~x,col='blue',main='Density Plot') dev.off() } grafica() ---- t.R --- When I "sourced" it from R prompt, it quietly runs.

Hi All, I'm trying to add a 'rug' representation of my data to a plot created with densityplot(). While I can do this in the simple case, I can't do it properly when I include the "groups" argument. I have an example below. I am running a reasonably new version of R. print(sessionInfo()) R version 2.12.0 Patched (2010-11-07 r53537) Platform: i686-pc-linux-gnu

Hi Dear R users, For a pair plotting, usaully we use par( ) function. Apparently it does not work anywhere. I want to have 3 plots in a single figure, like this: par(mfrow=c(3,1)) densityplot( a) densityplot(b) densityplot(c) But it does not work. How is it possible to have such a figure with densityplot( ) in a single figure? So many thanks for any help. Amir Safari

Hi folks, This is really minor but to someone not familiar with the various tentacles of the lmer package it could be really annoying. I was trying to plot the posterior density of the fixed effect parameters of a lmer model, > hr.mcmc = mcmcsamp(hr.lmer, n=50000) > densityplot(hr.mcmc, plot.points=F) There is this error, "Error in densityplot(hr.mcmc, plot.points = F) : no

Hi all, I'm interested in doing a multiple density plot on a number of columns in a dataframe. >DF lineA.1 lineA.2 lineB.1 lineB.2 r1 5.355354 6.665575 10.288498 11.74750 r2 3.643415 5.427600 11.407112 13.97065 r3 5.813674 6.438502 9.628871 11.57456 r4 5.241340 5.125049 10.456221 12.35381 r5 4.640885 8.635518 8.344704 11.98484 r6 4.559852 6.416171 10.419599 10.89247 r7