similar to: SE of ANOVA (aov) with repeated measures and a bewtween-subject factor

I have problem getting the concept of a nested fixed variable into the nlme scheme. I fear the question is very stupid. In the past I had asked this before, and never got a reply (in other cases, the response was within hours). I also checked the S-list, where several similar enquiries of other people are orphaned. We have a cross-over design, where patient are treated two weeks with placebo,

Moin, Es geht um das Dovecot-Buch. Ich nehme an, da? hier mindestens einer, der sich auskennt, mitliest: Gibt es - au?er der Sprache und dem Preis - einen Unterschied zwischen der ersten (und einzigen?) deutschen Auflage von 2014 und der englischen Auflage von 2016? -- Heiko -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type:

Dear R-Community! For example I have a study with 4 treatment groups (10 subjects per group) and 4 visits. Additionally, the gender is taken into account. I think - and hope this is a goog idea (!) - this data can be analysed using lme as below. In a balanced design everything is fine, but in an unbalanced design there are differences depending on fitting y~visit*treat*gender or

Dear latticists, I would like to spread a lattice conditioned plot over multiple pages, keeping the same layout as if I had only one page as shown in the code below. My workaround is to divide the dataframe into subset that fit on one page, but the code is ugly. Is there a build-in way to achieve this? Dieter library(lattice) nsubj = 13 # This number is variable dt =

Some attribute x from 17 individuals was recorded repeatedly on 6 time points using a Likert scale with 7 distractors. Which statistical test(s) can I apply to check whether the changes along the 6 time points were significant? set.seed( 123 ) x <- matrix( sample( 1:7, 17*6, repl=T ), nrow = 17, byrow = TRUE, dimnames = list(1:17, paste( 'T', 1:6, sep='' )) ) I found

Dear helpers please provide me some helpful answer to my problem while I m trying to run a program .I m attaching both the program and the data to which I have to obtain my estimation results. "Motives.dat" is the data file, and "OBTfile4.3" is the complete code of program. by Running this // rawdata<-matrix(scan(inputFile, n = nsubj*ncomp), nsubj, ncomp, byrow = TRUE) \\

Hi, all. I have a simple design I'm comparing to output from SPSS. the design is 1 repeated measure (session) and 1 between measure (cond). my dependent measure is rl. here is the data I'm using (in a data.frame): mig <- data.frame(subj=factor(rep(subj,3)), cond=factor(rep(cond,3)), session=factor(c(rep(1,nsubj),rep(2,nsubj),rep(3,nsubj))),

Hello, I want to write a data.frame with 10 different entries x (by index y)? into ten different csv-files. In every output file should be one of the ten numbers of x. I tried this one, but I can't write into ten different files, like test1.csv to test10.csv: x <- rnorm(10) y <- c(1:10) z <- data.frame(y,x) n <- nrow(z) for (i in 1:n) write.csv(z$x[i],

I have been asked to analyse the results of (what is to me) a very complicated experiment. The dependent measure is the estimated distance, which is measured as a function of the actual distance. There are also several other IVs. The plot of log estimated distance as a function of log distance is linear. So in the rest of the analysis I will use logestimate and logdistance. My plan is to see

Hi dear R-users I try to reproduce the steps included in a LDA. Concerning the eigenvectors there is a difference to SPSS. In my textbook (Bortz) it says, that the matrix with the eigenvectors V usually are not normalized to the length of 1, but in the way that the following holds (SPSS does the same thing): t(Vstar)%*%Derror%*%Vstar = I where Vstar are the normalized eigenvectors. Derror

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hello James, have you ever tested the pv-drivers on W2k SP4? ;-) At first there is a little failure in install.bat. The version-number of w2k starts with "5.00" instead of "5.0.". So your script couldn''t recognize w2k. The rest of the installation looks ok, but after rebooting the vm nothing happens. Theres still the

Dear List, after updating the exactRanksumTests package I receive a warning that the package is not developed any further and that one should consider the coin package. I don't find the signed rank test in the coin package, only the Wilcoxon Mann Whitney U-Test. I only found a signed rank test in the stats package (wilcox.test) which is able to calculate the exact pvalues but unfortunately

Dear R users The following function is R code for the main compuations in the article: M. Eliasziw, S Lorraine Young, M Gail Woodbury and Karen Fryday-Field (1994): Statistical Methodology for the Concurrent Assessment of Intrarater and Intrarater Reliability: Using Goniometric Measurements as an Example. Physical Therapy 74 (8); 777-788 The function gives the estimated inter- and intrarater

Hallo, Op 22-2-2019 om 13:08 schreef Heiko Schlittermann via dovecot: > Moin, > > Es geht um das Dovecot-Buch. Ich nehme an, da? hier mindestens einer, > der sich auskennt, mitliest: > > Gibt es - au?er der Sprache und dem Preis - einen Unterschied zwischen > der ersten (und einzigen?) deutschen Auflage von 2014 und der englischen > Auflage von 2016? Hier wird leider nur

First of all, I really like R! Still being a newbie, I find things (the difficult ones) to be very simple. Alas, some 'simple' things still escape me. (Maybe the tutorials are often too much focused on the 'difficult' items??) Here comes my 'problem', over which I have sweated for the last 2 hours: My data are of a matrix 10x31, Likert Scale (1-5). 10 questions, 31

Hi, I'm currently working on porting some SAS scripts to R, and hence need to do the same calculation (and get the same results) as SAS in order to make the transition easier for users of the script. In the script, I'm dealing with a two-factorial repeated-measures anova. I'll try to give you a short overview of the setup: - two between-cell factors: facBetweenROI (numbering

Dear list, has anyone written a package/function in R for computing a point- biserial resp. biserial correlation? Thanks in advance Bernd

When finally got some time to do some coding, I started and stopped right after. The stationary test is a good starting point because it demonstrates how we should be able to move the very basic R matrices. I have a real- world small N data set with rows: id(n=1)---t1---variable1 ... id=(N=20)---T=21---variable1 Thus, a good test case. For first id I was considering something like this: lag

Hello My name is Jordan Bortz and I am an experienced OOP/Web developer with over 15 years experience overall and extensive Smalltalk,C#,Java, and Web Design experience.. I have been work with Ruby/RoR extensively lately and am looking to start doing Ruby development projects....I am available for contracts on a remote/telecommute basis pretty much anywhere or for in persnon projects in

Dear List: I have a data manipulation problem that I was unable to solve in R. I did it in SQL, and it may be that the solution in R is to do it in SQL, but I wondered if people could imagine a vector-based solution. Imagine a list A[i] of observers who observe some set of events B[j]. Each observer i may observe one or more events, and each event j may have been observed by one or more