similar to: R-beta: newbie question on repeated measure anovas

Hi, sorry if this is explained somewhere but I didn't find anything. How can I use "Anova" from the car package to test a modell without between subject's factors? Suppose I have the following data mat.1 mat.2 mat.3 di ex 1 85 85 88 1 1 2 90 92 93 1 1 3 97 97 94 1 1 4 80 82 83 1 1 5 91 92 91 1 1 6 83 83

ad 1) ggplot2, Hmisc, RODBC ad 2) A package to produce high quality tables with summary statistics for publications in scientific journals. Regards, Frank >>> Ralf B <ralf.bierig@gmail.com> 02.03.2010 21:13 >>> Hi R-fans, I would like put out a question to all R users on this list and hope it will create some feedback and discussion. 1) What are your 3 most useful R

Accidentally dropped R-devel from this reply. On Fri, 1 Sep 2017, luke-tierney at uiowa.edu wrote: > On Fri, 1 Sep 2017, Ralf Goertz wrote: > >> Am Fri, 1 Sep 2017 07:20:58 -0500 (CDT) >> schrieb luke-tierney at uiowa.edu: >> >>> On Fri, 1 Sep 2017, Ralf Goertz wrote: >>> >>>> Many good programs like vim adjust their internal width

On Fri, 1 Sep 2017, Ralf Goertz wrote: > Am Mon, 28 Aug 2017 09:33:31 +0200 > schrieb Ralf Goertz <r_goertz at web.de>: > > > Hello, me again > >> Hi, >> >> I guess there have been discussions about this in the past and from >> what I understood hooking an R-function to facilitate automatic >> adjustment is problematic. So why not doing it

Am Mon, 28 Aug 2017 09:33:31 +0200 schrieb Ralf Goertz <r_goertz at web.de>: Hello, me again > Hi, > > I guess there have been discussions about this in the past and from > what I understood hooking an R-function to facilitate automatic > adjustment is problematic. So why not doing it like this: would anybody care to comment? I think it is quite important to have an

Hi, I guess there have been discussions about this in the past and from what I understood hooking an R-function to facilitate automatic adjustment is problematic. So why not doing it like this: --- R-3.4.1/src/unix/sys-std.c 2017-03-24 00:03:59.000000000 +0100 +++ R-3.4.1/src/unix/sys-std.patched.c 2017-08-28 09:16:02.714204023 +0200 @@ -1005,6 +1005,9 @@ // introduced in

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

Does anyone have any suggestions for how to test for violation of the sphericity assumption and apply the Huynh-Feldt correction to a repeated-measure model? My model follows the format below: Rep.anova=aov(Y~X1*X2+Error(Subject/(X1*X2),data=DataFile)) I've already looked at the explanations aov() and Error() in Baron's “Notes on the use of R for psychology experiments and

Hi, I am looking for a way to study some phase data with a circular distribution measured in rad.I would like to do a two way ANOVA (if possible mixed, with inter and intrasubject).I haven´t found a package that does that in R?Does sombeody know if there is one or how to do the analysis.Thanks in advance J ToledoCNDR UPenn [[alternative HTML version deleted]]

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

Hi, does the shapiro wilk test in R-1.3.0 work correctly? Maybe it does, but can anybody tell me why the following sample doesn't give "W = 1" and "p-value = 1": R> x<-1:9/10;x [1] 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 R> shapiro.test(qnorm(x)) Shapiro-Wilk normality test data: qnorm(x) W = 0.9925, p-value = 0.9986 I can't imagine a sample being

Hi, I need to determinate HSD value from a matrix like that Thesis Days A1 Cx 0 66.07 Cx 0 60.24 Cx 0 42.86 Tw 0 66.07 Tw 0 60.24 Tw 0 42.86 Aa 0 66.07 Aa 0 60.24 Aa 0 42.86 Qe 0 66.07 Qe 0 60.24 Qe 0 42.86 Cx 56 310.86 Cx 56 223.17 Cx 56 186.77 Tw 56 149.42 Tw 56 127.75 Tw 56 138.59 Aa 56 130.24 Aa 56 214.83 Aa 56 137.95 Qe 56 186.64 Qe 56 189.09 Qe 56 187.87 this is my script

Hi R users, I google the website and I found that there are three ways to perform repeated measure ANOVA: aov, lme and lmer. http://www.mail-archive.com/r-help at stat.math.ethz.ch/msg58502.html But the questions are which one is good to use and how to do post-hoc test? I use the example that is provided in the above link and I try > tt<-aov(p.pa~group*time+Error(subject/time),data=P.PA)

Hello everyone, I am trying to do within subjects repeated measures anova followed by the test of sphericity (sample dataset below). I am able to get either mixed model or linear model anova and TukeyHSD, but have no luck with Repeated-Measures Assuming Sphericity or Separate Sphericity Tests. I am trying to follow example from "car" package, but it seems that I am not getting something

Pursuant to a prior "on topic" thread (http://tolstoy.newcastle.edu.au/R/e4/help/08/07/17192.html ) where I found I could not use AOV to perform an anova on my large data set, I'm now trying to code the analysis "by hand" so to speak. However, as demonstrated below, when comparing my attempt to aov() using a smaller data set, I seem to betray some sort of

You may want to look into RAnalyticFlow: http://www.ef-prime.com/products/ranalyticflow_en/index.html Regards, Frank ******************************************************** Dr.med. F. Bloos, Ph.D./U.W.O. Oberarzt Klinik f. Anästhesiologie und Intensivtherapie Klinikum der Friedrich-Schiller-Universität Jena Erlanger Allee 101 07747 Jena GERMANY Tel: +49 - 3641-932 32 83; Fax: +49 -

Hi, is there a specific/appropriate function/package to perform post hoc tests when running a two way repeated measures anova? I'm looking for something that will be equivalent to the 'TukeyHSD()' for between subjects anova (with 'aov()'). For one way repeated measures anova, the 'pairwise.t.test()' function seems to work correctly but the results are questionable for

Hello, I am trying to test some results I have for significance. It has been recommended that I use R and I am completely new to this. Set-up: Groups: two groups of 8 subjects (16 total) Two conditions: alert and passive Measurements: responses for three different stimuli (A, B, and C) measured in each condition Experiment: Testing the order of conditions Group one: Alert A, B