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Thanks to Brian Ripley for the time and effort put into developing the factanal package for R. I have found it very useful. However, in trying to replicate some results from previous research, I have run into the need for a couple of extensions and was wondering if they might find their way into future implementations. 1. Though maximum likelihood estimates might be more rigorous and

Hi Can anybody please suggest me about the documentation of "factanal.fit.mle()" (Not factanal()------ searching factanal.fit.mle() in R always leads to factanal()). Is there any function for doing principal component factor analysis in R. Regards Souvik Bandyopadhyay JRF, Dept Of Statistics Calcutta University [[alternative HTML version deleted]]

Hi, I wonder why factor scores produced by factanal are correlated, and I'd appreciate any hints from people that may help me to get a deeper understanding why that's the case. By the way: I'm a psychologist used to SPSS, so that question my sound a little silly to your ears. Here's my minimal example: *********************************************** v1 <-

Dear R-help, Using R 1.2.1 on Windows98 to run a factor analysis on a 64x150 matrix of data generated from a simulation model, factanal() reported that it failed to find a solution. Looking at the factanal code, I see the immediate condition that triggered the result: if (best == Inf) stop("Unable to optimize from these starting value(s)") So I am sure factanal() is giving

Dear R Users, I'm wondering how is it possible to get |factor loadings| <1 in factor analysis model (factanal) performing maximum-likelihood estimation. Is it caused by some constraints? If so, what kind of constraints are placed and when (during the estimation or after)? Robert

Hi All, There were lot of diffrences in the R and SPSS results for Exploratory Factor Analysis.why is it so ?I used standard factor analysis functions like:-- factanal(m, factors=3, rotation="varimax") princomp(m, cor = FALSE, scores = TRUE, subset = rep(TRUE, nrow(as.matrix(m)))) print(summary(princomp(m, cor=TRUE),loadings = TRUE, cutoff = 0.2), digits = 2) prcomp(m, scale = TRUE)

Hi everyone, I'm stuck on my dissertation which is due next week. I'm a business major student and my project is a comparative research on corporate social responsibility (CSR) between Chinese and German firms. According to my literature review, it's quite obvious that German firms have much better CSR initiatives and strategies than the Chinese ones and I wanted to test whether it was

Since R is open source and help may come from varied levels of experience on R-Help, I wonder if it might be helpful to construct a method that can be used to "rate" those who provide help on this list. This is something that is done on other comp lists, like http://www.experts-exchange.com/. I think some of the reasons for this are pretty transparent, but I suppose one reason is that

--=-hiYzUeWcRJ/+kx41aPIZ Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: 8bit Hi, on March 10 I filed a wishlist bug report asking for the inclusion of some changes to factanal() and the associated print method. The changes were originally proposed by John Fox in 2005; they make print.factanal() display factor correlations if factanal() is called with rotation =

Dear colleagues, I would like to run a cluster analysis on a number of variables. They are Likert Scale (0 to 10), but they also have a "Don't know' option at the end of the scale. Apparently, with the 'Don't Know' option in place, they cannot be considered to be linear or ordinal. How can these variables be analysed using R? One option would be to use poLC and treat

For my thesis I''m constructing a questionnaire and I would like to know your opinion about it and perhaps additional questions. The research will focus on the adoption factors and demographic characteristics of companies using rails. So if you happen to know good questions, or think they''re inappropriate, let me know. I''ll start off: Organizational 1. What is your

Hi list, I'm performing a series of confirmatory factor analysis on different groupings of items from data collected with questionnaires. There are some missing values. For those sets with no missing values I call factanal(datamatrix,factors=n) where datamatrix is a table of all observations for the items under investigation. This call fails when there are missing values. help(factanal)

hi, ?m studying moderated effects of percieved social support and justice world belief on relationship between stress coping strategies and depression level. ? haver never run this analysis before soi ? want to check my steps whether correct or not. first ? run regression in step 1 centered independent variables and centered moderators in step2 two way interactions instep 3 three way

Hi there all, This is my first post to the list and I'll first say a few things: - R is great! - The archives of this list have helped me solve all of my problems/questions so far - I only know enough statistics "to be dangerous" I'm looking for a way to do post-hoc tests for the Friedman test. I have a dataset from a within-subjects design with 5 conditions where some of

R- Help Forum Working with the "likert" package and I can't figure out why my "bar" graphs are backwards (see attached). The percentages are place correctly but the bars are backwards. #Sample code # libraries library(likert) # create data band <- c("Band 3","Band 3","Band 3","Band 3","Band 3","Band

Gracias Jorge. Pero tiene que ser otra cosa. El Renviron está bien y unzip está en ese path. Y al hacerlo como indica Oscar no hay problema con el unzip Miraré como está en otro Linux que si funciona a ver que puede ser. Pero será después de Navidad. Saludos [[alternative HTML version deleted]]

Si. Pero no funciona. En ordenador curro si funciona y tb tiene linux. Seguiré investigando has probado con: install_github('paquete",username='usuario')? 2013/12/20 Jose Luis Cañadas Reche <canadasreche@gmail.com>: > Hola a todos. > > Estoy intentando instalar el paquete likert utilizando devtools y obtengo el > siguiente error > > library(devtools) >

I have a collection of functions, class definitions and methods which I would like to test systematically for their correctness after changes to their code, and also after major R revisions. I believe that the correct term for these systematic tests (as opposed to more informal tests) is a 'test suite'. Does anyone [apart from Pat Burns :-) ] have code, or templates, or specific

Hola a todos. Estoy intentando instalar el paquete likert utilizando devtools y obtengo el siguiente error library(devtools) install_github('likert','jbryer') Installing github repo(s) likert/master from jbryer Downloading likert.zip from https://github.com/jbryer/likert/archive/master.zip Error en function (type, msg, asError = TRUE) : <not set> Me pasa también con

I'm creating a stacked bar chart using the likert command in the HH package. My data are in a data frame, with two numeric variables and a categorical variable, I can't get likert to use the column containing the categorical variable as a my y axis label. Here is a quick example: library(HH) #my data are: