similar to: How to build a package which loads Rgraphviz (if installed)...

I am trying to simulate a dataset using Parallel Latent CTT model and this is what i have done so far: (START) #Importing psych library for all the simulation related functions library(psych) # Settting the working directory path to C:/NCME path="C:/NCME" setwd(path) #Using the function to generate the data GenData <- congeneric.sim(N=500, loads =

Hi All, I am using fleiss kappa for inter rater agreement. Are there any know issues with Fleiss kappa calculation in R? Even when I supply mock data with total agreement among the raters I do not get a kappa value of 1. instead I am getting negative values. I am using the irr package version 0.70 Any help is much appreciated. Thanks and Regards M [[alternative HTML version deleted]]

Hi! I am trying to analyse with R a database that I have previously analysed with SPSS. Steps with SPSS: Factorial analysis Extraction options : I select = Principal component analysis Rotation: varimax Steps with R: I have tried it with varimax function with factanal or with princomp...and the results are different of what I have with SPSS. I think that varimax function is incorporated in

hi, I have following data and code; cov <- c (1.670028 ,-1.197685 ,-2.931445,-1.197685,1.765646,3.883839,-2.931445,3.883839,12.050816) cov.matrix <- matrix(cov, 3, 3, dimnames=list(c("y1","x1","x2"), c("y1","x1","x2"))) path.model <- specify.model() x1 -> y1, x1-y1 x2 <-> x1, x2-x1 x2 <->

Dear R help I have conducted a fa() analysis, and I want to use fa.diagram to assess the extent to which the 11 latent factors predict the 37 items in a psychological battery. However, the display on the screen has very large font size for the coefficients of the relationship between the 11 factors and the 37 items, so the numbers overlap and are therefore illegible. When I output this to a

hi, How can I compute a reliability score of a scale consisting only of dichotomous items? thanks for any help!

Hello,   In SPSS, a multiple regression can be conducted by inputting the means, standard deviations, sample size, and correlation matrix without actually using the raw dataset. Is it possible to do the same in R?   Thanks in advance for your assistance.   Linda [[alternative HTML version deleted]]

Hello, I was wondering if someone could tell me how to output, to file, the residuals from a REML model-fit. The type of residuals I am interested in are the simple "original raw values - model fit" type. Thanks in advance, Josh B. [[alternative HTML version deleted]]

Dear list A strange bug in the psych package is due to the behavior of the diag function: It gives the expected values for 1, a vector (-1,1), but not for -1 Is this a known feature? > diag(1) [,1] [1,] 1 > diag(c(-1,1)) [,1] [,2] [1,] -1 0 [2,] 0 1 > diag(-1) Error in diag(-1) : invalid 'nrow' value (< 0) Bill William Revelle

Hi R, Let, x=1:80 I want to sum up first 8 elements of x, then again next 8 elements of x, then again another 8 elements..... So, my new vector should look like: c(36,100,164,228,292,356,420,484,548,612) I used: aggregate(x,list(rep(1:10,each=8)),sum)[-1] or rowsum(x,group=rep(1:10,each=8)) But without grouping, can I achieve the required? Any other ways of doing

I am looking for simple introduction to cluster analysis using R, that would be understandable to a novice in statistics. Or, could someone perhaps help me understand how to proceed in my analysis? I am very new to both statistics and R, but am trying hard to avoid having to use SPSS as everyone around me... I have dataset on people presenting their opinions on different religious

On 26.04.2015 13:23, William Revelle wrote: > This still seems to be the case. > > I tried uploading the most recent version of psych and got as far as the Step 3 page which says that it has sent out an email. > However, although normally this step takes agout 1 minute, nothing has happened for 16 hours. > > Should we just use the old system of uploading to the ftp site and

Hello! I would like to draw a graph like the following: http://www.optics.rochester.edu/workgroups/cml/opt307/spr04/pavel/plot_small.jpg Aim is to plot confidence intervals of treatments for X(=response1) and Y(=response2) axis simultaneously to visualize aggreement of confidence interval for two responses. Can anyone please provide me some direction to start with? Thanks! -- Kim.

Andrie noticed that first, and I can confirm: from our end, it looks as if the backend to http://cran.r-project.org/submit.html is currently down. Dirk -- http://dirk.eddelbuettel.com | @eddelbuettel | edd at debian.org

Hello, I need to do a principal component analysis with EQUAMAX-rotation. Unfortunately the function principal() I use normally for PCA does not offer this rotation specification. I could find out that this might be possible somehow with the package GPArotation but until now I could not figure out how to use this in the principal component analysis. Maybe someone can give an example on how to do

Dear fellow developers, Is there an easy way to determine how big my packages (psych and psychTools) will be on various versions of CRAN? I have been running into the dread 'you are bigger than 5 MB" message for some installations of R on CRAN but not others. The particular problem seems to be some of the mac versions (specifically r-oldrel-macos-arm64 and r-release-macos-X64 ) When

Dear Users, I ran factor analysis using R and SAS. However, I had different outputs from R and SAS. Why they provide different outputs? Especially, the factor loadings are different. I did real dataset(n=264), however, I had an extremely different from R and SAS. Why this things happened? Which software is correct on? Thanks in advance, - TY #R code with example data # A little

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

Dear friends, How do I stop partial matching of list names? e.g., x <- list(AAAA="aaaaa", BBBBB="bbbbb") is.null(x$A) #returns FALSE even though there is no element A. if(is.null(x$A)) {result <- x$BBBB} else {result <- x$A} result #is aaaa even though there is no x$A element x <- list(CCCC="aaaaa", BBBBB="bbbbb") if(is.null(x$A))

Dear R list, I have discovered a seemingly peculiar feature when using a matrix to index itself (yes, this is strange code, which I have now modified to be more reasonable). #this makes sense s <- matrix(1:3,nrow=1) s[s] #all three elements are shown #but when I try s <- matrix(1:2,nrow=1) s[1] #fine, the first element is shown s[2] #fine, the second element is