search for: adequaci

Dear colleagues, I've been searching for information on the Kaiser-Meyer-Olkin (KMO) Measure of Sampling Adequacy (MSA). This statistic is generated in SPSS and is often used to determine if a dataset is "appropriate" for factor analysis -- it's true utility seems quite low, but it seems to come up in stats classes a lot. It did in mine, and a glance through the R-help

Hello, This is in response to a post from a couple of years back regarding Kaiser-Meyer-Olkin Measures of Sampling Adequacy. (http://tolstoy.newcastle.edu.au/R/help/05/12/17233.html) As it turns out, last year Trujillo-Ortiz et al. at the Universidad Autonoma de Baja California wrote and posted a script for MATLAB that does the job. You can see it (with a discussion of KMO statistics) at

I've read through many postings about principle component analysis in the R-help archives, but haven't been able to piece together the information I need. I'd like to recreate an SPSS-like experience of factor analysis using R. Here's what SPSS produces: 1. Scatterplots of all possible variable pairs, with regression lines. xyplot(my.dataframe) is perfect but for the lack of

Hi All, How do i calculate KMO for a dataset? *Dataset:---------------------* m1 m2 m3 m4 m5 m6 m7 m8 1 2 20 20 2 1 4 14 12 2 9 16 3 5 2 5 5 15 3 18 18 18 13 17 9 2 4 4 7 7 2 12 2 11 11 11 5 7 8 5 19 5 2 20 18 6 7 4 7 4 7 9 3 3 7 5 5 5 12 5 13 13 12 8 6 6 4 3 5 17 17 16 9 12 12 4 2 4 4 14 14 10 5 14

I would like to be given sufficient access to http://wiki.centos.org/AdditionalResources/Repositories that I may copy the raw text to a SubPage of my HomePage. I propose to edit the links on that SubPage and submit it for review by anyone who may have sufficient knowledge to validate my changes. I have yet to work with the RPM Package Manager, so I will be making edits that need to be reviewed

I am a beginner when it comes to using R, though fortunately I already know something about statistics. I think factor analysis should be used sparingly, but I occasionally use it. It doesn't seem to me that factanal() provides Kaiser's Measure of Sampling Adequacy, which should be computed for factor problems based on a small number of subjects, though perhaps it is elsewhere. Does anyone

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Dear all, I am comparing logistic regression models to evaluate if one predictor explains additional variance that is not yet explained by another predictor. As far as I understand Baron and Li describe how to do this, but my question is now: how do I report this in an article? Can anyone recommend a particular article that shows a concrete example of how the results from te following simple

Hi! I am an R beginer, so perhaps this is a quite simple question... After using the lmer command (under the lme4 package) for fitting a mixed model, it was impossible to use de command plot(model) for checking model adequacy. R returns this message: "Error in as.double(y) : cannot type '%s' coerce to vector". Could anyone be so kind to tell me what to do? How can I

Hello, I am having some problems with fitting an ARMA model to my time series data (randomly generated numbers). The thing is I have tried many packages [tseries, fseries, FitARMA etc.] and all of them giving very different results. I would appreciate if someone could post here what the best package is for my purpose. Also, after having done the fitting, I would like to check for the model's

Dear list members, A new package, called *midasr* (version 0.1), is now available on CRAN: http://cran.r-project.org/package=midasr This package provides econometric methods for working with mixed frequency data. The package provides tools for estimating the time series MIDAS regression, where the response and explanatory variables are of different frequency, e.g. quarterly vs monthly. The

Excellent. Thank you; a most useful option of the MoinMoin wiki. On Tue, Dec 9, 2014 at 1:26 PM, Alan Bartlett <ajb at elrepo.org> wrote: > On 9 December 2014 at 21:19, PatrickD Garvey <patrickdgarveyt at gmail.com> > wrote: > > I would like to be given sufficient access to > > http://wiki.centos.org/AdditionalResources/Repositories that I may copy > the >

Dear all, the dataset documented under ?crimtab was also used in: @article{TreloarAE1934, title = {The adequacy of "{S}tudent's" criterion of deviations in small sample means}, author = {Treloar, A.E. and Wilder, M.A.}, journal = {The Annals of Mathematical Statistics}, volume = {5}, pages = {324-341}, year = {1934} } The following is

Hello Everyone,   I’m a SAS user who has recently become interested in sequential clinical trials designs. I’ve discovered that the SAS based approaches for these designs are either too costly or are “experimental.” So now I’m looking for alternative software. Two programs that seem promising are SPLUS Seqtrial and R.   I recently obtained a 30 day trial for the SPLUS Seqtrial add-on and have

This is a more general statiscal question, not specific to R: As I move through my masters curriculum in statistics, I am becoming more and more attuned to issues of model fit and diagnostics (graphical methods, AIC, BIC, deviance, etc.) As my regression professor always likes to say, only draw substantive conclusions from valid models. Yet in published articles in my field (medicine), I

The cautions people have given about starting values are worth heeding. That nlxb() does well in many cases is useful, but not foolproof. And John Fox has shown that the problem can be tackled very simply too. Best, JN On 2023-08-19 18:42, Paul Bernal wrote: > Thank you so much Dr. Nash, I truly appreciate your kind and valuable contribution. > > Cheers, > Paul > > El El

On 9 December 2014 at 21:19, PatrickD Garvey <patrickdgarveyt at gmail.com> wrote: > I would like to be given sufficient access to > http://wiki.centos.org/AdditionalResources/Repositories that I may copy the > raw text to a SubPage of my HomePage. > > I propose to edit the links on that SubPage and submit it for review by > anyone who may have sufficient knowledge to

Oops, I copied the page with the acl of the original page, which, of course, means I can't edit it. Lesson learned, I hope. Could you please fix the acl so I may proceed with my edit? Sorry to be such a bother. I'm more used to working on Wikimedia wiki's. My MoinMoin skills are rusty. On Tue, Dec 9, 2014 at 1:28 PM, PatrickD Garvey <patrickdgarveyt at gmail.com> wrote: >

> Almost any method of fitting a density estimate would work on > integrating (numerically) the result. it is a nice idea concerning the monotony property, which will be obtained automatically, but I am going to use results of approximation analytically > In particular, look at package polspline, where > p(old)logspline does the integration for you. thank you, I am going to

This is a bit late, but: > About two years ago there was a thread about this which suggested that at > that time nobody had these coefficients ready to go. > (a) has anyone in the meanwhile programmed them? http://www.qimr.edu.au/davidD/R/polyr.R > (d) I appreciate this last item is not strictly an R question, but my > intention is to use these as input into the sem package for