similar to: read.octave fails with data from Octave > 3.2.X

I have encountered a problem with faceted bar plots. I have tried to create something like the example explained in the ggplot2 book (see pp. 126-128): library(ggplot2) mpg4 <- subset(mpg, manufacturer %in% c("audi", "volkswagen", "jeep")) mpg4$manufacturer <- as.character(mpg4$manufacturer) mpg4$model <- as.character(mpg4$model) base <-

Dear All I would need to perform a MANOVA with both fixed (group, sex, group*sex) and random (brood) effects. I wonder if this is at all possible and if R does that. At the moment, I only know that I can run a classic MANOVA with R. Thank you David ______________________________________________ David Costantini, PhD http://www.davidcostantini.it NERC Postdoctoral research associate

Hi, I know that the type of model described in the subject line violates the principle of marginality and it is rare in practice, but there may be some circumstances where it has sense. Let's take this imaginary example (not homework, just a silly made-up case for illustrating the rare situation): I'm measuring the energy absorption of sports footwear in jumping. I have three models (S1,

A (late) update to this question: On Fri Aug 17 07:33:29, Henrik Singmann wrote: > Hi Diego, > > I am struggeling with this question also for some time and there does > not seem to be an easy and general solution to this problem. At least I > haven't found one. > However, if you have just one repeated-measures factor, use the solution > describe by me here:

Dear R users, I want to announce an update of the package "phia", version 0.2-0, now on CRAN: <http://cran.r-project.org/web/packages/phia/> "phia" (Post-Hoc Interaction Analysis) is aimed at the analysis of the expected values and other terms of in linear, generalized, and mixed linear models, on the basis of multiple comparisons of factor contrasts, and is specially

Dear R users, I want to announce an update of the package "phia", version 0.2-0, now on CRAN: <http://cran.r-project.org/web/packages/phia/> "phia" (Post-Hoc Interaction Analysis) is aimed at the analysis of the expected values and other terms of in linear, generalized, and mixed linear models, on the basis of multiple comparisons of factor contrasts, and is specially

Hi All, I have data about seed predation (SP) in fruits of three differents colors (yellow, motted, dark) and in two fruiting seasons (2007, 2008). I performed a GLMM (lmer function, lme4 package) and the outcome showed that the interaction term (color:season) was significant, and some combinations of this interaction have significant Pr(>|z|), but I don't think they are the right

Hello, I have created two boxplots with following R code. There is one outlier in B group. The outlier is 33. But the all other data are between 0 to 4. How can I skip y-axis around 5 to 25, and expand 0-4 for this case. Also I want keep the outlier in my boxplot. I want my boxplot look like the second one, keep the outlier, and make an interrupt of y-axis from 5 to 25. Thanks, Jianghong

Hello, When plotting a barchart with ggplot it drops the levels of the factor for which no counts are available. For example: library(ggplot) mtcars$cyl<-factor(mtcars$cyl) ggplot(mtcars[!mtcars$cyl==4,], aes(cyl))+geom_bar() levels(mtcars[!mtcars$cyl==4,]) This shows my problem. Because no counts are available for factorlevel '4', the label 4 dissapears from the plot. However, I

I have a doubt about the calculation of tests for fixed effects in mixed-effects models. I have read that, except in well-balanced designs, the F statistic that is usually calculated for ANOVA tables may be far from being distributed as an exact F distribution, and that's the reason why the anova method on "mer" objects (calculated by lmer) do not calculate the denominator df nor a

Dear R users, I have a very basic query, but was unable to find a proper anwser. I have the following data.frame x y 2 0.12 3 0.25 4 0.11 6 0.16 7 0.20 and, due to further calculations, I need the data to be stored as x y 1 0 2 0.12 3 0.25 4 0.11 5 0 6 0.16 7 0.20 8 0 How do

Hello all, So I am using the (formula entry) method for randomForests: randomForest(y~x1+x2+...+x39+x40,data=xxx,...) but the issue is that some of the items in that package dont take a formula entry - you have to explicitly state the y and x vector: randomForest(x=xxx[,c('x1','x2',...,'x40')],y=xxx[,'y'],...) Now my question is whether there is a function/way

Dear all, I have a (probably very basic) question. I am imputing data with the mice package, using 10 chains. I can then write out the 10 final values of the chains simply by name1 <- complete(imp, 1) : : name10 <- complete(imp,10) Not a big deal, I just wanted to do that in a little loop as follows: for (i in 1:10){ set[i] <-

Hi all, I have been struggling with ANOVAs on R. I am new to R, so I created a simple data frame, and I do some analyses on R just to learn R and then check them on SPSS to make sure that I am doing fine. Here is the problem that I've run into: when we use the aov function, it uses SS Type I as default (on SPSS it is Type III). Then I used the Anova function under cars package using the

Hi All, I am frustrated by mixed-effects model! I have searched the web for hours, and found lots on the nested anova, but nothing useful on my specific case, which is: a random factor (C) is nested within one of the fixed-factors (A), and a second fixed factor (B) is crossed with the first fixed factor: C/A A B A x B My question: I have a functioning model using the aov command (see

For some time I have been looking for a convenient way of performing post-hoc analysis to Repeated Measures ANOVA, that would be acceptable if sphericity is violated (i.e. leaving aside post-hoc to lme models). The best solution I found was John Fox's proposal to similar requests in R-help: http://tolstoy.newcastle.edu.au/R/e2/help/07/09/26518.html

To whom it may concern I made some analysis with R using the command Anova. However, I found some problmes with the output obtained by selecting type II o type III sum of squares. Briefly, I have to do a 2x3 mixed model anova, wherein the first factor is a between factor and the second factor is a within factor. I use the command Anova in the list below, because I want to obtain also the sum

Mathew Brown Institute of Bioclimatology University of G?ttingen B?sgenweg 2 37077 G?ttingen, Germany t: +49 551 39 9359 mathew.brown at forst.uni-goettingen.de On 9/24/2011 6:00 PM, r-help-request at r-project.org wrote: > Send R-help mailing list submissions to > r-help at r-project.org > > To subscribe or unsubscribe via the World Wide Web, visit >

Hi, In the R console, I have the following: > runif(10) Error in runif(10) : '.Random.seed' is not an integer vector but of type 'list' > Can someone advise me of the solution of the problem? Mei-Yuan Chen Department of Finance NCHU, aiwan

Hi all, several packages print messages during loading. How do I avoid to see them when the packages are in the defaultPackages? Here is an example. With this in ~/.Rprofile ,----[ ~/.Rprofile ] | old <- getOption("defaultPackages") | options(defaultPackages = c(old, "filehash")) | rm(old) `---- I get as last line when starting R: ,---- | filehash: Simple key-value