Re: [R] factor analysis of dynamic structure (FADS) for a huge time-series data

Dear Newmiller, Thank you for your reply. I’ve just posted the same question in the another forum for stats as you suggested. Meanwhile, I would like to keep the question submitted to learn from R users, if it is available . Park On Sun, May 9, 2021 at 6:01 AM Jeff Newmiller wrote: > This no

Re: [R] factor analysis of dynamic structure (FADS) for a huge time-series data

: Saturday, May 08, 2021 at 5:05 AM From: "Hyun Soo Park" To: "r-help@r-project.org" Subject: [R] factor analysis of dynamic structure (FADS) for a huge time-series data Dear R users, I want to find the latent factors from a kind of time-series data describing temporal changes of c

Re: [R] factor analysis of dynamic structure (FADS) for a huge time-series data

This not being a question about R, but rather about statistics, or possibly about a contributed package, means (per the Posting Guide) that you should be asking in a statistics forum like stats.stackexchange.com or corresponding with the author of the package in question. If you are lucky someon

[R] factor analysis of dynamic structure (FADS) for a huge time-series data

Dear R users, I want to find the latent factors from a kind of time-series data describing temporal changes of concentration using a factor analysis technique called 'factor analysis of dynamic structure (FADS).' I learned how to form the data for the analysis using a proper package embedding FADS

[R] Factor Analysis fit statistics from zelig() model = "factor.bayes" (executes mcmcfactanal() function)

Hello, I am running a factor analysis with a multiply imputed dataset in zelig (specifying model = factor.bayes). I cannot find a way to get fit statistics for the specified model (a 2-factor model in this particular analysis). The summary() function only returns lambda (factor loadings) and psi

Re: [R] Factor analysis and time as an offset variable

Thank you for your reply. I am grouping citation and some social media indictors ( number of tweets, mendeley readers, etc). The number of citaions a paper recievs or the number of social media indicators that a papers receives depends on time. For example a paper published in 2009 has more time to

Re: [R] Factor analysis and time as an offset variable

That step is easy, but context is hard. You really need to provide a reproducible example. There are many models, many analysis tools, and many timescales to choose from. In fact, this could easily be mistaken for a question about statistics (not really on-topic here) since you have failed to

[R] Factor analysis and time as an offset variable

Hi, Is it possible to use time as an offset (exposure variable) in factor analysis? If yes, would you please advise how? Thanks, Tahereh Tahereh Dehdarirad PhD Student of Library and Information Science University of Barcelona, Spain [[alternative HTML version deleted]] __

[R] Factor Analysis using weights for each variable

Hi R-users, I have 1020 time series ( each of length 10,000), say, X1,X2,..,X1020 and I want to perform Factor Analysis using 50 factors on their correlation matrix. The issue is: for every series, I have a weight, i.e. *the series X_i has a pre-defined weight of w_i* ( i = 1,2,, 1020). I

Re: [R] Factor Analysis/Inputting Correlation Matrix

ey man!! you need to change the format of your data as matrix data <- as.matrix(correlation_data) solucion <- factanal(covmat = data, factors=2) that´s all!!! enjoy Rafael Ch. -- View this message in context: http://r.789695.n4.nabble.com/Factor-Analysis-Inputting-Correlation-Matrix-tp359

Re: [R] Factor Analysis with orthogonal and oblique rotation

Varimax is orthogonal, promax is oblique. Varimax is generally not recommended. See: Preacher, K. J., & MacCallum, R. C. (2003). Repairing Tom Swift's electric factor analysis machine. Understanding Statistics, 2(1), 13-43. (Google the title and you'll find a PDF). The fa() function in the psy

[R] Factor Analysis with orthogonal and oblique rotation

Hello I seem to find only two types of rotation for the factanal function in R, the Varimax and Promax, but is it possible to run a orthogonal and oblique rotations in R? Thanks in advance Rosario __ R-help@r-project.org mailing list https://stat.ethz.

Re: [R] Factor analysis on ordinal & nominal data

At 6:19 AM -0700 6/14/11, Jay wrote: Hi, are there readily available R packages that are able to perform FA on ordinal and/or nominal data? If not, what other approaches and helpful packages would you suggest? If by ordinal and nominal you mean just a few categories (e.g., a mood scale or per

[R] Factor analysis on ordinal & nominal data

Hi, are there readily available R packages that are able to perform FA on ordinal and/or nominal data? If not, what other approaches and helpful packages would you suggest? BR, Jay __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/lis

Re: [R] Factor Analysis/Inputting Correlation Matrix

Hi Matt, Did you try reading the documentation for factanal()? You can pull it up by typing: help("factanal") These give basically identical results using the raw data, the covariance matrix, and the correlation matrix. factanal(x = mtcars, factors = 3) factanal(factors = 3, covmat = cov(mtcars

[R] Factor Analysis/Inputting Correlation Matrix

Can someone please direct me to how to run a factor analysis in R by first inputting a correlation matrix? Does the function "factanal" allow one to read a correlation matrix instead of data vectors? Thanks, Matt. [[alternative HTML version deleted]]

Re: [R] factor analysis - constraints

On Apr 19, 2011, at 13:58 , Robert Ruser wrote: > 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

[R] factor analysis - constraints

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 _

Re: [R] Factor analysis and cfa with asymptotically distributed data

Jane, >> Does someone know how to do fa and cfa with strong skewed data? Your best option might be to use a robustly estimated covariance matrix as input (see packages robust/robustbase). Or you could turn to packages FAiR or lavaan (maybe also OpenMx). Or you could try soft modelling via packa

[R] Factor analysis and cfa with asymptotically distributed data

I have friendship data which is strong skewed. So it doesn't make sense to use maximum likelihood methods for fa and cfa. But I couldn't find any function for asymptotically distributed data for doing a factor analysis. Only: apca() but there is no possibility to allow for factor correlations.

Re: [R] Factor analysis

On Sat, Nov 13, 2010 at 2:07 PM, Brima wrote: > > Thanks very much. However, I got an error message when I tried. > What I did is that I created a correlation matrix named dat which is the > only data I have and tried using the below > >> fa<- factanal(covmat = dat, factors=2, rotation="none", sco

Re: [R] Factor analysis

Thanks very much. However, I got an error message when I tried. What I did is that I created a correlation matrix named dat which is the only data I have and tried using the below > fa<- factanal(covmat = dat, factors=2, rotation="none", scores="none") Error in factanal(covmat = dat, factors = 2,

Re: [R] Factor analysis

Hello On Sat, Nov 13, 2010 at 7:57 AM, Brima wrote: > > Hi all, > > This could be very basic. I want to do exploratory factor analysis but I > don't have the data, rather I have the correlation matrix. How do I do this > with just the correlation matrix? I know for principal components, I can > j

Re: [R] Factor analysis

See ?factanal, and ?ability.cov for a worked example. On Fri, 12 Nov 2010, Brima wrote: Hi all, This could be very basic. I want to do exploratory factor analysis but I don't have the data, rather I have the correlation matrix. How do I do this with just the correlation matrix? I know for pri

[R] Factor analysis

Hi all, This could be very basic. I want to do exploratory factor analysis but I don't have the data, rather I have the correlation matrix. How do I do this with just the correlation matrix? I know for principal components, I can just find the eigen values. Best regards -- View this message in

[R] factor analysis: extract principal components until the eigen value <1

Hello, I am trying to do factor analysis using principle components analysis. I use “fa” in package “psych”. I would like extract principal components until the eigen value <1. Two questions: First, can I calculate the eigenvalue of the covariance matrix and decide the number of eigenvalues>

Re: [R] Factor Analysis function source code required

On Tue, 15 Sep 2009, Moumita Das wrote: 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(

[R] Factor Analysis function source code required

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(pr

Re: [R] Factor Analysis in R

On Sat, 2009-08-08 at 17:38 +0530, Arup Pramanik wrote: > hi, > > Thanks for your reply but now it is giving me a message that Error in > factanal(~., data = sony_factor, factors = 10, na.action = na.omit) : > factor analysis applies only to numerical variables. All the > variable which I am ha

Re: [R] Factor Analysis in R

On Fri, 2009-08-07 at 19:07 -0700, Arup wrote: > Hi I am trying to run Factor Analysis using R...I am using the syntax > factanal(m1, factors=3) but it's giving me an message Error in cov.wt(z) : > 'x' must contain finite values only > ...I am using a data set which is having only numeric variabl

[R] Factor Analysis in R

Hi I am trying to run Factor Analysis using R...I am using the syntax factanal(m1, factors=3) but it's giving me an message Error in cov.wt(z) : 'x' must contain finite values only ...I am using a data set which is having only numeric variables and have some NA's also in it..What should I do nex

Re: [R] Factor Analysis Output from R and SAS

64774 0.96165 Bill -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Tae-Young Heo Sent: March-31-09 7:07 AM To: r-help@r-project.org Subject: [R] Factor Analysis Output from R and SAS Dear Users, I ran factor analysis using R and

Re: [R] Factor Analysis Output from R and SAS

t; From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] > On > > Behalf Of Tae-Young Heo > > Sent: March-31-09 7:07 AM > > To: r-help@r-project.org > > Subject: [R] Factor Analysis Output from R and SAS > > > > Dear Users, > > >

Re: [R] Factor Analysis Output from R and SAS

nal Message- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf Of Tae-Young Heo > Sent: March-31-09 7:07 AM > To: r-help@r-project.org > Subject: [R] Factor Analysis Output from R and SAS > > Dear Users, > > I ran factor analysis u

Re: [R] Factor Analysis Output from R and SAS

-BEGIN PGP SIGNED MESSAGE- Hash: SHA1 Hi, > 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 f

[R] Factor Analysis Output from R and SAS

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 so

Re: [R] Factor Analysis-factanal function

Ontario, Canada web: socserv.mcmaster.ca/jfox > -Original Message- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf Of "Ocaña Riola, Ricardo" > Sent: January-30-09 5:30 AM > To: r-help@r-project.org > Subject: [R] Fac

[R] Factor Analysis-factanal function

Dear friends, I'm using R to produce the following Factor Analysis: > matriz.cor<-hetcor(matrix(as.factor(data), ncol=variables, byrow=T))$correlations > factanal(x=data, factors=2, covmat=matriz.cor, scores='regression') Then the screen output shows the following message: Error en

[R] factor analysis for binary data with FactoMineR package

Hi List, I'm following on the discussions regarding the use of exploratory factor analysis with binary data, from nabble: http://www.nabble.com/PCA--for-Binary-data-to11050371.html#a11092127 and i tried using FactorMineR package but unfortunately i have trouble understanding what are the typ

Re: [R] Factor Analysis

milton, Ontario, Canada L8S 4M4 905-525-9140x23604 http://socserv.mcmaster.ca/jfox > -Original Message- > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] > project.org] On Behalf Of Kathleen Kemp > Sent: January-12-08 9:11 AM > To: r-help@r-project.org > Subject: [R] Factor An

Re: [R] Factor Analysis

you may check the ltm package: http://wiki.r-project.org/rwiki/doku.php?id=packages:cran:ltm I hope it helps. Best, Dimitris Dimitris Rizopoulos Ph.D. Student Biostatistical Centre School of Public Health Catholic University of Leuven Address: Kapucijnenvoer 35, Leuven, Belgium Tel: +32/(

[R] Factor Analysis

Good Morning, Is it possible to use the R program for a CFA with dichotomous data? Thank you, Kathleen Kathleen Kemp, M.A. Doctoral Clinical Psychology Student, Concentration: Forensic Psychology Drexel University Philadelphia, PA 19104 [EMAIL PROTECTED] [[alternative HTML version d