similar to: Kaiser-Meyer-Olkin

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

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

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

Dear all The following is a very basic and beginner's question on loops. Suppose you have data (say, 1000 cases) with two variables named "answer" (string) and "class" (numeric). The latter runs from 1 to 78 and categorizes the data. I need to create a file "answer_1.txt" for the cases with class==1, and so on, up to "answer_78.txt" I have been

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

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

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

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

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

Dear Community, does anybody have an idea on how to estimate a system of three seemingly unrelated regressions, two of which being TOBIT and one OLS? Background: I am currently estimating a translog cost function and two corresponding cost share equations using systemfit and the seemingly unrelated regression ("SUR") specification. However, I consider it more appropriate to estimate

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

Hello all, at the moment we are using samba 3.6.6 as pure fileserver on Debian Wheezy with external company-wide OpenLDAP as "passdb backend" (ldapsam). We want to use Debian Jessie, which have samba4 in stock, unfortunately out setup doesn't work with Samba4 anymore (NT_STATUS_UNSUCCESSFUL) I've read somewhere that Samba4 only works with internal LDAP server, is it correct?

[This email is either empty or too large to be displayed at this time]

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

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

Well, it is no problem to use R or S-Plus for a principle component analysis (PCA). The function "princomp" works very well with my polychoric correlation matrix, that I use for this approach on ordinal variables. But I want to inspect the Kaiser-Meyer-Olkin-crieterion with the "measure of sampling adequancy (MSA)" and the anti-image-correlation matrix. I can''t find

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

I am trying to see if this is even possible. We have a network in my office of mostly Windows machines, all connected to the internet via a firewall. We have a co-located Linux server in another state. I want to centralize my authentication setup, so that there is but a single username/password combincation used accross all systems. I have configured SSHD on the co-located Linux server to