similar to: mixed effects or fixed effects?

Greetings! I am a new user of R. The only one in my department, all others use SPSS. I have two data sets of students with test scores, pretest and posttest. The first column StuNum and then columns of scores. The problem is that the lists are slightly different not all students are in both data sets. So I did: intersect(pretest$StuNum, posttest$StuNum) -> common.id At this point I need

Dear list, I would like to run an ANCOVA using car::Anova with repeated measures factors, but I can't figure out how to do it. My (between-subjects) covariate always interacts with my within-subject factors. As far as I understand ANCOVA, covariates usually do not interact with the effects of interest but are simply additive (or am I wrong here?). More specifically, I can add a covariate as

Dear R users, I use the excelent Anova function of the library car because the easy way to get sphericity correction. Unless I use the scan function. I have not been able to access the values ​​of sum squares and degrees of freedom for each effect in the univariate summary table. Example of the car library for Anova function: library(car) phase <- factor(rep(c("pretest",

Is there an easy way to make graphs for the following data. I have pretest and posttest scores for men and women. I would like to form a 'titlted segment' plot for the data. That is, make segments joining the scores, with different types of segments for men and women. Example data: menpre <- c(43,42,26,39,60,60,46) menpost <- c(40,41,36,42,54,58,43) womenpre <-

Hi, I am new to R (and not really a stats expert) and am having trouble interpreting its output. I am running a human learning experiment, with 6 scores per subject in both the pretest and the posttest. I believe I have fitted the correct model for my data- a mixed-effects design, with subject as a random factor and session (pre vs post) nested within group (trained vs control). I am

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

Hello dear R members. I have been learning the Anova syntax in order to perform an SS type III Anova with repeated measures designs (thank you Prof. John Fox!) And another question came up: where/what are the (between/within) residuals for my model? ############ Play code: phase <- factor(rep(c("pretest", "posttest", "followup"), c(5, 5, 5)),

Data set up as one observation/subject looks like (with a total of 10 subjects) Two treatments: shoe type with 3 categories and region with 8 categories ==> 24 "treatment" columns Subject PHallux PMidToes PLatToe PMTH1 PMidMTH PLatMTH PMidfoot PRearfoot LHallux LMidToes LLatToe LMTH1 LMidMTH LLatMTH LMidfoot LRearfoot DHallux DMidToes DLatToe DMTH1 DMidMTH DLatMTH

(Have searched for this already) Hi, How do you find the strength of correlation between two variables using an ANOVA table? "Pr(>F)" gives the statistical significance of the association, but not the strength of the correlation. See data (from R) below Readable: "Df" "Sum Sq" "Mean Sq" "F value"

I have a data file with indicates pretest scores for a linguistics experiment. The data are in long form so for each of 33 subjects there are 400 rows, one for each item on the test, and there is a column called ‘Correct’ that shows ‘C’ for a correct response and ‘E’ for an incorrect response. I am trying to write a formula that will create a vector that indicates the number of correct answers

HI All, I have a long data file generated from a minimal pair test that I gave to learners of Arabic before and after a phonetic training regime. For each of thirty some subjects there are 800 rows of data, from each of 400 items at pre and posttest. For each item the subject got correct, there is a 'C' in the column 'Correct'. The line: tapply(ALLDATA$Correct,

I have finally decided to look into testing and I am going through the examples in the AWDWR book and I tried the following and it does not work... even though I don''t see why it shouldn''t. =========== posts.yml =========== basic_post: id: 1 title: Title body: Body created_at: 2006-02-01 00:00:00 updated_at: 2006_02-02 00:00:00

Dear R developers, Is there a way to pretest a package on the Solaris-sparc and solaris-x86 systems equivalent to the win-builder check? My psych package (1.1.10 and 1.1.11) passes all checks for the Mac on my system, on the win-builder checking system supported by Uwe, and then passes Kurt's tests to install on CRAN. But it then fails when being built for the solaris systems. Rather

I am trying to import a series of text files generated by stimulus presentation software. The problem that I am having is that the number of rows I need to skip is not fixed (depending on subject's pretest behavior) nor is the first row of the data I want always the same (the stimuli were presented in random order). So I need to bring in the .txt file (using readLines?), look for the row

I was writing unit tests for my models for a while. After that I was tweaking around and again continued writing unit tests. Earlier all my unit tests were working - successfully. But now WHen I run them, it gives me Loaded suite unit/post_test Started EEEE Finished in 0.112698 seconds. 1) Error: test_presence_of_body(PostTest): NoMethodError: undefined method `key?'' for

'Windows' path using GetFullPathName() -- code below. My question is how best to do the opposite -- not necessarily from a 'Windows' program. Ex., given a path such as 'C:\PRETEST\GEM01494\GEM01494.RTF', how do I get '/home/justin/.cxoffice/dotwine/fake_windows/pretest/GEM01494/GEM01494.rtf'? I currently have a 'solution' using a lookup table {

Hello, I have noticed a bug with LSSVM implementation in R. It could be a bug with the LSSVM itself that causes this problem. I thought I should post this message to see if anyone else is familiar with this problem and explain why the result is different for odd and even number of cases. Once the hyperplane is found using LSSVM, the prediction results vary when you predict odd or even number of

Dear all, I am trying to fit a mixed-effects non linear regression, but I have some trouble with it. My data are a balanced panel of 904 subjects with 8 observations (at regular periods) per subject. The functional form of my model is Y=Aexp(-BX1)X2 +e. I want to allow parameters A and B to vary among subjects and also include an autocorrelation term. I have already fitted a standard nonlinear

Dear all, I am unsure about how to specify a model in R and I thought of asking some advice to the list. I have two groups ("Group"= A, B) of subjects, with each subject undertaking a test before and after a certain treatment ("Time"= pre, post). Additionally, I want to enter the age of the subject as a covariate (the performance on the test is affected by age),

flight 22043 xen-unstable real [real] http://www.chiark.greenend.org.uk/~xensrcts/logs/22043/ Regressions :-( Tests which did not succeed and are blocking, including tests which could not be run: test-amd64-i386-xl 9 guest-start fail REGR. vs. 22033 build-armhf 4 xen-build fail REGR. vs. 22033 test-amd64-i386-xl-qemut-winxpsp3-vcpus1