similar to: CI -- fixed effects -- response -- mixed models

Dear Friends, Please note that in the following CI lower > CI higher: > require(lmer) > require(gmodels) > fm2 <- lmer(Reaction ~ Days + (1|Subject) + (0+Days|Subject), sleepstudy) > ci(fm2) Estimate CI lower CI upper Std. Error p-value (Intercept) 251.66693 266.06895 238.630280 7.056447 0 Days 10.52773 13.63372 7.389946 1.646900

Dear R-helpers, (1) I can't figure out how to tell Dotplot that I want the colors of the CI bars to be the same as the colors of the dots. For example: t2a.ci3 <- data.frame(est = c(7, 20, 75), lower = c(-9, 0.5, 42), upper = c(22, 39, 109)) mypal <- c('skyblue3', 'mistyrose3') condNames <- c('noise', 'horn', 'marimba') Dotplot(1:2 ~

> > Message: 107 > Date: Tue, 12 Sep 2006 05:25:09 -0400 > From: Michael Kubovy <kubovy at virginia.edu> > Subject: Re: [R] Reading fixed column format > To: Anupam Tyagi <AnupTyagi at yahoo.com> > Cc: r-help at stat.math.ethz.ch > Message-ID: <3EBEC9D3-559C-4607-838D-46042D36A3AA at virginia.edu> > Content-Type: text/plain; charset=US-ASCII;

Dear r-helpers, plot(all.effects()) uses trellis for its output, and often produces several effect plots in a layout. Can anyone tell me how to set the arguments to plot.effect which default to row=1, col=1, nrow=1, ncol=1, more=FALSE so that I can plot multiple effect plots on one layout? I was hoping that a call like last <- rep(c(TRUE, FALSE), c(3, 1)) lay <-matrix(c(1:4,), 2, 2,

In the course of exploring response prediction, I stumbled upon a small discrepancy between the CIs produced by predict.lm() and all.effects() require(mlmRev) require(effects) hsb.lm <- lm(mAch ~ minrty * sector, Hsb82) hsb.new <- data.frame( minrty = rep(c('No', 'Yes'), 2), sector = rep(c('Public', 'Catholic'), each = 2)) hsb.eff <-

Hi, Can someone please offer a procedure for going from CIs produced by intervals.lme() to fixed-effects response CIs. Here's a simple example: library(mlmRev) library(nlme) hsb.lme <- lme(mAch ~ minrty * sector, random = ~ 1 | cses, Hsb82) (intervals(hsb.lme)) (hsb.new <- data.frame minrty = rep(c('No', 'Yes'), 2), sector = rep(c('Public',

Dear R-helpers, I don't see a difference between the following two plots of effect objects, which I understand should be different. What am I missing? require(doBy) require(effects) data(budworm) m1 <- glm(ndead/20 ~ sex + log(dose), data=budworm, weight=ntotal, family=binomial) m1.eff <- all.effects(m1) plot(m1.eff, rescale.axis = FALSE, selection = 2, main = 'rescale =

Dear R-helpers, How do I transform v <- c('insd-otsd', 'sppr-unsp') into c('insd--otsd', 'sppr--unsp') ? _____________________________ Professor Michael Kubovy University of Virginia Department of Psychology USPS: P.O.Box 400400 Charlottesville, VA 22904-4400 Parcels: Room 102 Gilmer Hall McCormick Road Charlottesville, VA 22903

Take a look at the "scales" argument in dotpolot. Maybe you need something like: position<-exp(-5:0)/(1+exp(-5:0)) dotplot(type~freq/(3027-freq), scales=list(x=list(log=T, at=position, lab=round(position, 3))) ) Stefano >-----Messaggio originale----- >Da: r-help-bounces at stat.math.ethz.ch >[mailto:r-help-bounces at stat.math.ethz.ch]Per

Dear R-listers, Can someone suggest a method for generating a finite Bernoulli sequence that is likely to have a given point-biserial correlation with an existing Bernoulli sequence? _____________________________ Professor Michael Kubovy University of Virginia Department of Psychology USPS: P.O.Box 400400 Charlottesville, VA 22904-4400 Parcels: Room 102 Gilmer Hall

Dear r-helpers, I downloaded http://popgen.unimaas.nl/~jlindsey/rcode/rmutil.tar (it was originally .tgz, but got unzipped by my browser). Can anyone give me detailed instructions on installing this and Lindsey's other packages on R version 2.4.0 (2006-10-03)---(powerpc- apple-darwin8.7.0, locale: C)? _____________________________ Professor Michael Kubovy University of Virginia

Dear R-helpers, How do I tell panel.polygon what greoup and panel it applies to whithin xyplot(y ~ x | c, groups = g panel = function(x, y, groups, ...){ panel.polygon(x = xpol[c, g], y = ypol[c, g], default.units = 'native') panel.xYplot(x, y, groups, ...) llines(x = c(1, 6), y = c(-24.283333, 35.941667), lwd = 2, lty = 3, col = 4) } x[c, g] and y[c, g] describe

Dear R-helpers, I would like the bands in an xYplot() to be gray without dark edges. I've tried playing around with col.bands, but that seems not to affect the edges, although changin col.fill does change the fill as I would expect. I would appreciate pointers. _____________________________ Professor Michael Kubovy University of Virginia Department of Psychology USPS: P.O.Box

Dear r-helpers, After updating to R version 2.2.1, 2005-12-20, powerpc-apple- darwin7.9.0 (from binary), JGR wouldn't launch. I then deleted everything I could find related to JGR, and reinstalled it from the latest binary. Both R and JGR are installed in /Applications/ \~LocalApps/mathStat/. Advice on how to identify the source of the problem? My machine: Machine Name:

Dear r-helpers, When use latex() on a matrix, I set the option dcolumn = T. As a result, in front of each tabular I get \newcolumntype{.}{D{.}{.}{-1}} The LaTeX compiler complains about these multiple redeclarations. _____________________________ Professor Michael Kubovy University of Virginia Department of Psychology USPS: P.O.Box 400400 Charlottesville, VA 22904-4400 Parcels: Room

Dear R-helpers, This produces a red title. How do I make it black, without making the labels black? legend(title = 'Channel Integration', 0.7, 0.3, c('loudness','luminance'), col = c('red', 'blue'), text.col = c('red', 'blue'), lty = 1, xjust = 0.5, bty = 'n') _____________________________ Professor Michael Kubovy University

Dear R-helpers, I need to generate all the binary sequences of length n (here n = 8) that start with 1 and have no fewer than two of each digit, and are not cyclic permutations of each other. Here is what I have done: len <- 8 df <- as.data.frame(numeric(2^(len - 1)) %o% numeric(len)) require(partitions) for (i in 1:2^(len - 1)) df[i, ] <- binary(i, dim = len)[[1]] df <-

Here's a small dataset: type <- c('hierarchical','partial','single','complete','single +hierarchical','single+partial','partial+hierarchical','single+partial +hierarchical') freq <- c(1455,729,688,65,29,28,16,17) lodds <- log(freq/(3027 - freq)) dotplot(type~lodds) I would like to have the x-axis have ticks at nice,

How does one define PDFs as yet undefined in R, such as the ex- gaussian, the sum of two RVs, one exponential, one Gaussian? The PDF would then be the convolution of an exponential PDF, dexp(), and a normal, dnorm(). Kindly cc me in your reply to r-help. Thanks, _____________________________ Professor Michael Kubovy University of Virginia Department of Psychology USPS: P.O.Box 400400

Dear r-helpers, Could you please help me solve the following problem: When I run require(AlgDesign) trt <- LETTERS[1:5] blk <- 10 trtblk <- 3 BIB <- optBlock(~., withinData = trt, blocksizes = rep(trtblk, blk)) In response to the last command, R complains: Error in optBlock(~., withinData = trt, blocksizes = rep(trtblk, blk)) : object ".Random.seed" not found The