similar to: Details to factor analysis

We have 4 class C networks, 199.129.206.* 199.129.207.* 199.129.208.* 199.129.209.* I see IP addresses from all 4 classes thru tcpdump. Some of these computers broadcast as C-class computers; eg, to 199.129.206.255 Some broadcast to 255.255.255.255 Of course, several C class networks would induce me to use a B-class broadcast, 199.129.255.255 This works for the computers I

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

Hi, I'm running this for a simulation study, so many combinations of parameter produce many predictions that I need to correlate with data. The problem ---------------- I'm using rating data with 3 to 5 categories (e.g., too low, correct, too high). The underlying continuous scales should be normal, so I chose the polychoric correlation. I'm using library(polychor) in its

Hello, I am running polychoric correlations on a dataset composed of 12 ordinal and binary variables (N =384), using the polycor package. One of the association (between 2 dichotomous variables) is very high using the 2-step estimate (0.933 when polychoric run only between the two variables; but 0.801 when polychoric run on the 12 variables). The same correlation run with ML estimate returns a

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

Hello. Using the polychor function > polychor(data[c(s1,s2)] ) for polychoric correlations of two ordinal variables in R takes a long time for N=7000 (20 minutes+) and significantly slows down my computer. Now, I have a pretty old computer, but it takes about 20 seconds for MPLUS to print out the complete polychoric correlation matrix for all 16 variables, while I am running the R function

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

Hi all, For computational reasons, I need to estimate an 18x18 polychoric correlation matrix two variables at a time (rather than trying to estimate them all simultaneously using ML). The resulting polychoric correlation matrix I am getting is non-positive definite, which is problematic because I'm using this matrix later on as if it were a legitimately estimated correlation matrix (in order

A bit late, but you might like to look at http://www.qimr.edu.au/davidD/polyr.R Regarding the original posters queries: You can analyse polychoric correlations as if they were Pearson correlations using standard software (eg sem), and this usually doesn't do too badly, or go to AWLS (Browne) in LISREL etc, or ML analysis of the full multidimensional contingency table using programs such as

Hi, I''m new to rspec and wanted to translate some of my unit tests into rspecs. Unfortunately my first test fails with "Mysql not loaded". My application is running fine and can access the database. I''d appreciate any help, so I can get started. Tino -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi, I am quite new to R - but quite expierience in programming. Nonetheless I have some problemes in accessing information of the "summary" object. Here is what I do: model <- lm ( y ~ myVariable ) "summary(model)" gives me an object which has a lot of information about the regression. Now I'd like to access programmatically the level of significance which is

Hi, currently I''m using 48 class with htb & very stable Is there any maximum number of class I can create in a single linux box ? I need 500 or even 1000 class for campuss network. Any help appreciated thanks & regards Tino _______________________________________________ LARTC mailing list LARTC@mailman.ds9a.nl http://mailman.ds9a.nl/cgi-bin/mailman/listinfo/lartc

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? (b) I think I can see how to do the tetrachoric one with mvtnorm on similar lines to an example on the help page so will try that if nobody else already has (c) looking at the polychoric one makes me realise yet again

Dear all, I get a strange error when I find polychoric correlations with the ML method, which I have been able to reproduce using randomly-generated data. What is wrong? I realize that the data that I generated randomly is a bit strange, but it is the only way that I duplicate the error message. > n<-100 > test.x<-rnorm(n, mean=0, sd=1) > test.c<-test.x + rnorm(n, mean=0,

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

Hello, It has been found that SEM analysis using polychoric correlations + maximum likelihood estimator produces incorrect test statistics and standard errors (e.g., Flora, D. B., & Curran, P. J. (2004). An Empirical Evaluation of Alternative Methods of Estimation for Con?rmatory Factor Analysis With Ordinal Data. Psychological Methods, 9(4), 466-491). Standard errors can be dealt with by

Admin please remove this person. he keeps spamming the list -----Original Message----- From: tino@augsburg.net [mailto:tino@augsburg.net] Sent: Thursday, June 05, 2003 4:53 AM To: samba@samba.org Subject: [Samba] Re: Submited (004756-3463) Please see the attached file.

Hi there, Am I correct to believe that tetrachoric correlation is a special case of polychoric correlation when there are only two levels to the ordered factor? Thus it should be okay to use hetcor from the polycor package to build a matrix of correlations for binary variables? If this is true, how can one estimate 95% confidence intervals for the correlations? My guess would be mat =

Hi folks, in 2.4 kernels, device matching for bridged packets was done with iptables -i/-o. Since 2.6, I was used to use -m physdev here. In 2.6.18, This seems to be more complicated. At least the filter/INPUT chain now doesn't match with -m physdev --physdev-in anymore, but FORWARD and OUTPUT does. I also read the note that -m phydev is now deprecated for non-bridged traffic. Does this

Hi Rowland, sorry for the late reply. On 07/02/2018 10:20 AM, Rowland Penny via samba wrote: > You don't have 'winbind use default domain = yes' so you should have to > use the domain name to get a result. FWIW, with 'winbind use default domain = yes' the output is: # id tmutest uid=1102339(tmutest) gid=1000513(domain users) groups=1000513(domain