search for: pretest

Hi, I am running a learning experiment in which both training subjects and controls complete a pretest and posttest. All analyses are being conducted in R. We are looking to compare two training methodologies, and so have run this experiment twice, once with each methodology. Methodology is a between-subjects factor. Trying to run this analysis with every factor included (ie, subject as a random...

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) women...

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 to select from pretest the students in common...

(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"

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 confused about the output. The summary command gives me this table: > D.lme<- lme(s...

Kurt writes KH>> * I am also not sure whether one should include the write.table() KH>> function I posted some time ago. It seems to be a bad idea to make a KH>> contrib package out of it (containing only a single function ...). Yes, I think we should have a good "write" function for data.frames. However, I would go even further and 'vote' for a GENERIC

It used to be the case that when I submitted a package and it gave notes or warnings in the CRAN checks, I was required to bump the package version before re-submission. I hope this is no longer the case.? I recently submitted a package that gave one fairly trivial NOTE, fixed that, and would like to re-submit. -Michael -- Michael Friendly Email: friendly AT yorku DOT ca Professor,

'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 { 'C:': '/home/justin/.cxoffice/dotwine/fake_windows', 'Y:': '/home/justin', ...

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...

...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", "posttest", "followup"), c(5, 5, 5)), levels=c("pretest", "posttest", "followup")) hour <- ordered(rep(1:5, 3)) idata <- data.frame(phase, hour) mod.ok <- lm(cbind(pre.1, pre.2, pre.3, pre.4, pre.5,...

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 cre...

...mber of cases is enhanced by a huge factor. Thanks, Parmee iris <- unique(iris) rbf <- rbfdot(0.5) lssvm> k <- kernelMatrix(rbf, as.matrix(iris[,-5])) lssvm> klir <- lssvm(k, iris[, 5]) lssvm> pre <- predict(klir, k) > ktest <- as.kernelMatrix(k[1:148,]) > pretest <- predict(klir, ktest) > table(pretest,iris[1:148,5]) pretest setosa versicolor virginica setosa 50 0 0 versicolor 0 49 2 virginica 0 1 46 > ktest2 <- as.kernelMatrix(k[1:147,]) > pretest2 <-...

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

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

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 containing the text "Begin Main" (see exact row below) and start reading data to a table from that poin...

...buted packages" but there are some questions about car on R-help, so I thought this would be the correct place. ###### Example follows ##### require(car) set.seed(1) n.OBrienKaiser <- within(OBrienKaiser, age <- sample(18:35, size = 16, replace = TRUE)) phase <- factor(rep(c("pretest", "posttest", "followup"), c(5, 5, 5)), levels=c("pretest", "posttest", "followup")) hour <- ordered(rep(1:5, 3)) idata <- data.frame(phase, hour) mod.ok <- lm(cbind(pre.1, pre.2, pre.3, pre.4, pre.5, post.1, post.2, post.3, post.4, p...

...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)), levels=c("pretest", "posttest", "followup")) hour <- ordered(rep(1:5, 3)) idata <- data.frame(phase, hour) idata mod.ok <- lm(cbind(pre.1, pre.2, pre.3, pre.4, pre.5, po...

When building R-devel with gcc 5.2.0 (mingw-w64 v4) on Windows, make check fails reg-tests-1b.R at the following check: x <- c(1:2, NA) sx <- sd(x) !is.nan(sx) Here 'sx' should be 'NA' but it is 'NaN'. It turns out this problem only appears when the function is byte compiled with optimization level 3: mysd <- function (x, na.rm = FALSE) sqrt(var(if

Dear R-help, I'm having problem creating a dll using Rcmd SHLIB with R-1.3.1 on WinNT4: C:\TEMP>Rcmd SHLIB tryf.o make[1]: `libR.a' is up to date. make: *** No rule to make target `'tryf.o', needed by `tryf.a'. Stop. C:\TEMP>Rcmd SHLIB tryf.f make[1]: `libR.a' is up to date. make: *** No rule to make target `'tryf.o', needed by `tryf.a'. Stop. I

Dear R-help, I'm having problem creating a dll using Rcmd SHLIB with R-1.3.1 on WinNT4: C:\TEMP>Rcmd SHLIB tryf.o make[1]: `libR.a' is up to date. make: *** No rule to make target `'tryf.o', needed by `tryf.a'. Stop. C:\TEMP>Rcmd SHLIB tryf.f make[1]: `libR.a' is up to date. make: *** No rule to make target `'tryf.o', needed by `tryf.a'. Stop. I