similar to: Labels in ICLUST

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

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

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

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

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 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

hello, subsequently to a NMDS analysis (performed with metaMDS or isoMDS) is it possible to rotate the axis through a varimax-rotation? Thanks in advance. Bernd Panassiti

Hello, I searched the archives but found no answers. How to modify the hisgram color of function pairs.panels of Psych package ? I tried col() but it was the line color modified. Thanks. Elaine [[alternative HTML version deleted]]

I have a quick statistical question and hoped somebody has a tip for me without me having to go to the local statistician on Monday. I assess 4 statements from 90 subjects. Each of the 4 statements receives one of three responses (say -1, 0, or 1). I can use Cramer's V or Spearman correlations to assess the correlation between each pair of statements, but I am looking for a measure of

Hello, I am a complete beginner to R. I use a mac and want to import and read a .csv dataset stored as .csv file. I understand I eventually enter <- read.csv("size.csv", header=T) , but I can't get R to find my file, which is called size.csv and located /Users/davidoconnor/Desktop/Eart-125/size.csv Thank you very much! David -- View this message in context:

Hi all, Are there base functions that do the equivalent of this? fliptb <- function(x) x[nrow(x):1, ] fliplr <- function(x) x[, nrow(x):1] Obviously not hard to implement (although it needs some more checks), just wondering if it had already been implemented. Hadley -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University http://had.co.nz/

Haj i try to perform a principal component analysis by using a tetrachoric correlation matrix as data input tetra <- tetrachoric (image_na, correct=TRUE) t_matrix <- tetra$rho pca.tetra <- principal(t_matrix, nfactors = 10, n.obs = nrow(image_na), rotate="varimax", scores=TRUE) the problem i have is to compute the individual factor scores from the pca. the code runs perfect

Dear all I am a newbie to R and I would appreciate it very much if someone can give me some advice on this. Please note that I am not a programmer so some of the questions might sound really stupid. I would like to compute McDonald's omega calculation using R, I'm aware I can use the omega function in the psych package. But I'm really not sure how to do it. I have read these two

Hi all: If I have a dataframe of N columns.If I wanna get the min(or max,or mean...etc)of the whole dataframe,how to do it quickly? What I can do is only: min(data[,1:ncol(data)]) Any other suggestion? Thanks! best [[alternative HTML version deleted]]

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 =