similar to: split plot experiment with a repeated measure

Please advise the proper format for coding the random effects of a split-plot experiment WITH repeated measures. I have been unable to figure out how to use either lme or lmer's "grouping" to properly assign the error terms. I am measuring univariate responses. Here is the set-up: WP - whole plot factor SP - split-plot factor SSP - split-split-plot factor, also the repeated measure

I am in the process of transferring from an old version of S+ to using R having used a variety of other packages in the past. I'm hugely impressed with R but it has an excellent but depressing habit of exposing that I'm not a professional statistician and has done so again. Someone has run a nice little repeated measures design on my advice, students randomised to four orders of a

Now that I have winbind working, life is good. However, I've hit upon a real kick in the pants. As you can see from my email address, we have a convention here of usernames being firstname.lastname. So, when I go to change the owner ship of a file: $ chown chris.palmer myfile Linux thinks I mean user chris, group palmer, and says "invalid group" (there is no palmer group,

Hi, I have a experiment with block, plots, sub-plots, and sub-sub-plots with repeated measures and 3 factors (factorial design) when we have been observed diameter (mm), high (cm) and leaves number (count). However, we don't have one treatment in one factor, so, my design is unbalanced. On a previous message here, a friend tell me that "It appears to me that your design is a split-split

Hi, My name is Dan Ott and I recently learned R mainly for the purposing of running ANOVA's and linear regression. I just started using a data set where I want to run a repeated measures anova as well as a split-plot anova. My question is: What is the syntax for repeated measures and split-plot anova's? I did a little searching online and it appears that aov might be used for a

Dear all, I am trying to analyze data from an experiment like this: Factors: Hormone - Levels: SH, CH (S = without; C=with; H=Hormone) Time - Levels: 19/08/09, 04/09/09, 18/09/09, 08/10/09, 20/10/09 (DD/MM/YY) Nutrition - Levels: Completa, Sem (without) Macronutrition - Levels: Ca, K, Mg, P, Sem (without) Time is the measures day. It reflect the days after germination. Blocks : 4 plants per

Dear R-help I have two separate experiments, one a repeated-measures design, the other a split-plot. In a standard ANOVA I have usually undertaken a multiple-comparison test on a significant factor with e.g TukeyHSD, but as I understand it such a test is inappropriate for repeated measures or split-plot designs. Is it therefore sensible to use Helmert contrasts for either of these designs?

Hello once again, I've got winbind doing authentication not just for the samba service but also sshd and login. It's great. However, I have to give a fully-qualified username (e.g. "GENEEDINC+chris.palmer") as the username when logging in via these methods. I wondered, Is there any way to get winbindd to insert the domain and the separator for the user, when none is provided? I

Ahhrg List, there was a hitch in the previous code. Updated and functional version follows after my initial question: I am trying to randomise a dataframe with mixed factors/numeric variables and return a new (randomised) dataframe with the same columns (as factors/numeric). simgap<-function(x) { ma<-max(x) mi<-min(x) Xout<-runif(length(x),min=mi,max=ma) return(Xout) }

On 26 Apr 2016 23:28, "Tim Dunphy" <bluethundr at gmail.com> wrote: > > Hey guys, > > I tend to work on small production environments for a large enterprise. > > Never more than 15 web servers for most sites. > > But most are only 3 to 5 web servers. Depends on the needs of the > client.I actually like to install Apache and PHP from source and by >

Hi all, Has anyone tested for FA in R? I need to seperate out the variance due to measurement error from variation between individuals (following Palmer & Strobeck 1986). Andy Higginson Animal Behaviour and Ecology Research Group School of Biology University of Nottingham NG7 2RD U.K. This message has been checked for viruses but the contents of an attachment may still contain

Hi, The following function use to work, but now it doesn't giving the error "> CallSnow(, 100) Using snow package, asking for 2 nodes 2 slaves are spawned successfully. 0 failed. Error in checkForRemoteErrors(val) : 2 nodes produced errors; first error: no applicable method for 'lapply' applied to an object of class "list" ". Where this is the

Hi, I'm studying math, and i have to make an analysys using Randomised Block Design. I have two factors, i know how to do this in Statistica, but how to do this in R, i read some manuals but the only thing that i have found was 2 factor ANOVA. Please could someone help me, or give some usefull links ?? Krzytsztof Suwada

I'm just curious, but wondering if there has been any work in making these algorithms available in R. They are aimed at accelerating matrix-vector products using approximation ideas, and might be useful in applications such as kernel machines, Gaussian processes/kriging. Thanks Mark Palmer Landscape Monitoring and Modelling CSIRO Mathematical and

Hi there, some statistical programs (e.g. SPSS) calculate a correction of the degrees of freedom in a repeated measure analysis of variance (see Greenhouse-Geisser (1958) or Huynh-Feld (1976)) by a factor epsilon. This factor is used to correct the deg. of freedom to get a corrected f-test. Is this also possible with R? Thanks, Sven P.S.: I read in the lm help page: singular.ok logical,

I was recently asked to perform a GLM analysis (the person comes from the JMP world) on a repeated measures design. I have found some things using aov but I cannot find anything with glm. In fact, multiple regressions in general with repeated measures seems to be poorly covered in documentation. I remember SPSS has separate commands to handle them. I have within variables SOA and ec and a

Hi, is there a way to use a repeated measure anova approach in R? I can't believe there isn't, but I couldn't figure out how. Please Help ------------------------------- Ralf Goertz Institute for Psychology, Jena, Germany E-mail Ralf.Goertz at uni-jena.de http://www.uni-jena.de/allgpsy/rg -------------------------------

I am new to R, therefore this might be a naive question, sorry in advance for that. I have data on 4 groups of mice (#of subjects: 8,8,8,9) where the first group is the control group and 2-4 are 3 doses of a neuro-inhibitor. For each mouse we measured the exploration time of a familiar and a new object (thus repeated measure design), and I want to test whether there are different exploration

Dear all, I have tried to use R for the repeated measures experiment design in a phonetic study, and in the resulting forms I met some problems which perturb the final interpretation of the results. I will explain the experiment design first: the same 7 subjects were answering a question about 25 linguistic stimuli; the stimuli were the same utterances which were processed in 3 different ways (3

Hi all I am running a 2-way repeated measure anova with 1 between-subjects factor (Group=treatment, control), and 1 within-subject factor (Time of measurement: time1, time2). I extract the results of the anova with: summary(aov(effect ~ Group*Time + Error=Subj/Time, data=mydata)) Now, this must be clearly a dumb question, but how can I quickly extract in R all the post-hoc t-tests for the