search for: adequacy

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 archives suggests I...

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 http://www.mathworks.com/matl...

...ut for all the variables in the data frame. 3. Descriptive statistics of each variable. Jim Lemon's excellent dstats() function does this. Solved. 4. A large correlation matrix for the data frame. The built-in function cov() does this. Solved. 5. KMO (Kaiser-Meyer-Olkin Measure of Sampling Adequacy) and Bartlett test of sphericity on the data frame as a whole. I can't find ways to recreate these tests -- bartlett.test() doesn't produce the type of response that makes sense. 6. Anti-image matricies, including MSA (sampling adequacy) scores for each variable I can't find a wa...

...11 11 10 4 10 10 10 10 15 1 1 1 8 4 16 16 17 16 23 23 3 4 3 3 3 3 17 4 4 6 9 8 17 8 18 18 8 8 5 9 7 7 7 9 19 6 7 8 3 8 4 4 7 20 8 11 9 3 2 2 2 3 ** *SPSS results for the above dataset:--------* Kaiser-Meyer-Olkin Measure of Sampling Adequacy.(KMO) 0.350911931549742 *Got a R-function:-----* ( http://www.opensubscriber.com/message/r-help@stat.math.ethz.ch/2776549.html) kmo.test <- function(df){ ### ## Calculate the Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ## Input should be a data frame or matrix, output is the KMO statistic....

...hat 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 for adequacy. -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.centos.org/pipermail/centos-docs/attachments/20141209/c8ee6578/attachment-0002.html>

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 know? (Better yet, is there a complete list of procedures that can be performed by all available packages?) I have coded MSA in C++, so I could add it if it is not yet ava...

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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 continue to use lme library instead of lmer? R does not recognize lme anymore. Thanks in advance! ____________________________________...

...ed 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 adequacy. How can I do this? Thanks. -- View this message in context: http://r.789695.n4.nabble.com/How-to-fit-ARMA-model-tp3637632p3637632.html Sent from the R help mailing list archive at Nabble.com.

...s 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 fitted regression model can be tested for adequacy and then used for forecasting. More specifically, the following main functions are available: * midas_r -- MIDAS regression estimation using non-linear least squares. * mls -- time series embedding to lower frequency, flexible function for specifying MIDAS models. * hAh.test and hAhr.test...

...gt; > > 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 for adequacy. > > I believe all you would need to do is to append the string > "?action=raw" to the URL of the page. Then it should be possible for > you to copy and paste into your own space. > > Alan. > -------------- next part -------------- An HTML attachment was scrubbed... U...

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 from page 335 of the...

...ive. I also understand that there are several other R packages that relate to sequential clinical trials designs, such as AGSDest , GroupSeq, ldbounds, MChtest, PwrGSD, and Seqmon. Some of these seem fairly comprehensive while others seem to focus on a single approach.   My questions center on the adequacy of SPLUS Seqtrial and the R Packages. I was wondering if there is anyone out there who would be familiar enough with these to comment on their relative merits. Will SPLUS Seqtrial or the R packages allow me to do all the designs I’m ever likely to need? If I pay for SPLUS Seqtrial, will I get anyth...

...cit description of whether, and if so how, model fit was assessed and assumptions checked. Mostly the results sections are all about hypothesis testing on model coefficients. Is this common in other disciplines? Are there fields of study in which it is customary to provide a discussion of model adequacy, either in the text or perhaps in an online appendix? And if that discussion is not provided, what, if anything, can one conclude about whether, and how well, it was done? Is it sort of taken as a given that those diagnostic checks were carried out? Do journal editors often ask? Thanks for yo...

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

...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 for adequacy. I believe all you would need to do is to append the string "?action=raw" to the URL of the page. Then it should be possible for you to copy and paste into your own space. Alan.

...ose 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 for adequacy. >> >> I believe all you would need to do is to append the string >> "?action=raw" to the URL of the page. Then it should be possible for >> you to copy and paste into your own space. >> >> Alan. >> > > -------------- next part -------------...

> 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

...S method of Browne as implemented for example in LISREL (needs large N); or full ML fitting to the multidimensional contingency tables, which is available in programs like Mx, or could be fitted pretty easily using mvtnorm as you suggested (Mx uses Genz's algorithms). You should also check the adequacy of fit of the MFT to your data, and look at the related loglinear models. | David Duffy (MBBS PhD) ,-_|\ | email: davidD at qimr.edu.au ph: INT+61+7+3362-0217 fax: -0101 / * | Epidemiology Unit, Queensland Institute of Medical Research \_,-._/ | 300...