similar to: multiple barplot

Dear all, I know there are 'coef', 'predict', 'fit' to get the corresponding outputs. Is that possible to get the value of R-squared from a 'lm' output? Many thanks.

Is that possible to create superscript text on the graph legend, for example to put "cm2" (centimeter square) on the legend. Please show me how to do it. Thanks. -- Agus Susanto [[alternative HTML version deleted]]

Dear members, I want to create 8 graphs and write it into one page using mfrow=c(4,2). How to make all graphs (including the titles, legends, line types) to be scale down (resized proportionally). As an illustration, below is the code: pdf("testmfrow.pdf") par(mfrow=c(4,2)) x<-seq(1:10) y1<-rnorm(10) y2<-rnorm(10,mean=2,sd=1) y3<-rnorm(10,mean=3,sd=1)

Hi R community, I am new bird to R and moved recently from SAS. I am no means expert on either but very curious learner. So your help crucial for me to learn R. I have already got positive expression. I was trying to fit a mixed model in animal experiment but stuck at simple point. The following similar example is from SAS mixed model pp 212. # data genetic_evaluation <-

Package: xen-utils-4.1 Version: 4.1.4-3+deb7u1 Severity: important When an LVM LV that serves as the root disk for a Xen DomU contains a boot loader (or possibly other data) in its volume boot record, pygrub fails to boot it, printing "Error: boot loader didn't return any data" before exiting. I think this is because of the function "is_disk_image" on line 45 of

hello guys, I need to do a BLUP in the simplest model y = Xm + Zg + e however I have missing data in the analysis which I can?t consider as 0(zero). So I need to generate the matrix X'Z, Z'X and Z'Z step by step; I can?t use crossprod(x) #neither X'X <- t(x)%*%x because I should skip the elements with missing data in the matrix I?ll try to be more clear, supposing a matrix x

I am seeking for a method to calculate, given a fitted lme model and some data for a subject, the random effects predictors for this subject. I can only find predictors for the subjects used in creating the fit. Of course I could just add the subject and redo the fit. But I want to avoid just this refitting. Thanks for help wbk

dfhfsdhf at ghghgr.com I ran a simple lme model: modelrandom=lmer(y~ (1|Test) + (1|strain), data=tempsub) Extracted the BLUPs: blups=ranef(modelrandom)[1] Even wrote myself a nice .csv file....: write.csv(ranef(modelrandom)[1],paste(x,"BLUPs.CSV")) This all works great. I end up with a .csv file with the names of my strains in the first column and the BLUP in the second

Hello, I wish to learn how to extract best linear unbiased predictor values from a linear mixed model of repeated measures on individuals which has a random error structure (random =~ 1|individual). Thanks for your time, Kind regards Matt -- Matt Robinson Institute of Evolutionary Biology University of Edinburgh

Queridos R-users: Tengo una duda que hace mucho tiempo que estoy intentando resolver, os explico a modo de ejemplo: Tengo estos efectos: Año(5 niveles),Localidad (10 niveles) y genotipo (3 niveles), año y localidad son aleatorios y genotipo es fijo (los he escogido yo). Me gustaría hacer obtener una tabla parecida a la Tabla Anova donde aparezca cada factor y sus interacciones y

Hi all, To follow up on an older thread, it was suggested that the following would produce confidence intervals for the estimated BLUPs from a linear mixed effect model: OrthoFem<-Orthodont[Orthodont$Sex=="Female",] fm1OrthF. <- lmer(distance~age+(age|Subject), data=OrthoFem) fm1.s <- coef(fm1OrthF.)$Subject fm1.s.var <- fm1OrthF. at bVar$Subject fm1.s0.s <-

On Thursday 20 March 2014 14:15:29 Richard W.M. Jones wrote: > On Thu, Mar 20, 2014 at 02:48:11PM +0100, Pino Toscano wrote: > > Always close the file (ignoring its result) after a parsing, and > > cleanup the parse_context object before any exit(). > > > > This eases the debugging of memory issues in the actual parser. > > --- > > > >

I want to compute confidence intervals for the random effect estimates for each subject. From checking on postings, this is what I cobbled together using Orthodont data.frame as an example. There was some discussion of how to properly access lmer slots and bVar, but I'm not sure I understood. Is the approach shown below correct? Rick B. # Orthodont is from nlme (can't have both nlme and

On Mon, 2014-04-21 at 15:43 +0200, Sjors Gielen wrote: > Package: xen-utils-4.1 > Version: 4.1.4-3+deb7u1 > Severity: important > > When an LVM LV that serves as the root disk for a Xen DomU contains a boot > loader (or possibly other data) in its volume boot record, pygrub fails to boot > it, printing "Error: boot loader didn't return any data" before exiting.

Hello. I'm running a generalized linear model and am interested in using the random effects that are output for further analysis. My random effect is interacting with two different fixed effects (which which are factors with two levels each). When I retrieve the random effects I get something like this: (Intercept) nutrient (Intercept) light (Intercept) Aa-0 0.59679192

Dear all, I was trying to understand how "multcomp" package works by running the examples given in the documentation. However I still don't understand when it comes to multiple comparison set by user (please refer to "Ksub" in the code). Therefore I run 2 other cases along with the original example (case 1), with the expectation I'll get the point from the output. The

Hi everybody, I am trying to use the libopus trivial example I found here: http://git.xiph.org/?p=opus.git;a=blob;f=doc/trivial_example.c When I run it I get my new decoded file with the same size(+/-) as my initial .wav file. I try to start it with vlc but I can't. I think this is a problem of header/container but I am not sure. Does anybody have an idea where it may come from ? Benjamin

I am wondering if it is possible for an extension that is served by a zaptel device to revert to dial tone once a call disconnects. For instance, if I make a call to another extension, talk with them, and THEY hang up, can I then be presented with a new dial tone rather than a congestion tone? Further, can an extension be set up so that, once the call goes back to dial tone, if the user does NOT

Buenas, tengo la siguiente inquietud. Tengo un data frame con los microdatos de la ECH de mi pais. He realizado un cuadro sin problemas en excel pero me gustaria una rutina de R para poder generar la tabla. El data.frame se llama ECH2009. Cuenta con las siguientes variables para este caso: idhogar region estrato integranteshogar expansor ingpercapsvl Computador TvAbonado Internet 1 capital 1 2

*Dear All,* *I'm trying to do Multivariate BLUP in R. I'd highly appreciate if someone can share R code and data for Multivariate BLUP. Thanks* * * *Regards! * -- * Muhammad Yaseen * [[alternative HTML version deleted]]