similar to: books on categorical data analyses

Hi I am using R for logistic regression and finding it very useful. However, I wondered if anyone could point me to any course or notes on this subject using R. All help most welcome. Stephen -- Internal Virus Database is out-of-date. Checked by AVG Anti-Virus. [[alternative HTML version deleted]]

I'll start with my apologies to Martin for sending those last two of message to the list owner (the last one he forwarded was actually sent a week or two ago and must have been lost in the ether somehow). This is basically due to fast copy/paste in emacs without paying much attention to what I'm doing. Lack of sleep is my excuse, but I don't know if that goes very far with the

Hello All: I hope I can get someone interested in this problem: Agresti in "Analysis of Categorical Data," p. 289, applies a "row and column effects model" to analyze a two-dimensional cross-classification of ordinal data. He got his results in either SAS or GLIM. Is there a way to replicate his results with R? He claims the RC model fits well with G^2(RC) = 3.57 with df =

Is there any reason that rstandard.glm doesn't have a "pearson" option? And if not, can it be added? Background: I'm currently teaching an undergrad/grad-service course from Agresti's "Introduction to Categorical Data Analysis (2nd edn)" and deviance residuals are not used in the text. For now I'll just provide the students with a simple function to use, but I

Dear R specialists, I have a multivariate statistics question that I want to submit to the R community (which conveys a very good statistical knowledge). I need to perform an optimal scaling based on a discrete variable and an ordinal variable. The discrete variable, Area, defines a geographical area. The ordinal variable, EducationLevel, describes the education level of individuals (the

Hi Peter and others, If it helps, I wrote a small function glm.scoretest() for the statmod package on CRAN to compute score tests from glm fits. The score test for adding a covariate, or any set of covariates, can be extracted very neatly from the standard glm output, although you probably already know that. Regards Gordon --------------------------------------------- Professor Gordon K

If I do not make a mistake,the partial association model is an extension of log-linear model.I read a papers which gives an example of it.(Sloane and Morgan,1996,An Introduction to Categorical Data Analysis,Annual Review of Sociology.22:351-375) Can R fit such partial association model? ps:Another somewhat off-topic question.What's the motivations to use log-linear model?Or why use

I'm posting this for two reasons: one is to see if anyone has a better way of solving the problem or suggestions for improving my existing approach; and the other is to show what I'm currently doing in case anyone else might find it useful. The background is that I've been using Sweave for several years now to produce class notes, and I sometimes include quite a lot of raw R input and

Hi I would like to analyse an ordinal categorical variable. I know how I can analyse a nominal categorical variable (with multinom or if there are only two levels with glm). Does somebody know which command I need in R to analyse an ordinal categorical variable? I want to describe the variable y with the variables x1,x2,x3 and x4. So my model looks like: y ~ x1+x2+x3+x4. y: ordinal factor

Just a few documentation "bugs" that I've noticed recently. 1. In the help for (dpqr)weibull(), the formula given for the variance of a Weibull is wrong. The correct formula is b^2 * sqrt(gamma(1 + 2/a) - (gamma(1 + 1/a))^2)) Note that I've also changed Gamma to gamma, which I think is preferable since this is actually the name of the gamma() function

I'm trying to use the vcd package to produce mosaic plots for my class notes, written in Sweave and using the LaTeX's beamer document class. For projecting the notes in class, I use a dark background with light foreground colors. It's easy enough to change the defaults for R's standard graphics to match my color scheme (using the fg, col.axis, col.lab, col.main, and col.sub

Hello, I have found a problem with using the glm function with a gamma family. I have a vector of data, assumed to be generated by a gamma distribution. The parameters of this gamma distribution are estimated in two ways (i) using the glm() function, (ii) "by hand", using the optim() function. I find that the -2*likelihood at the maximum found by (i) is substantially larger than that

Seems to be a day for finding peculiar little things. There is an inconsistency in the behavior of lm vis a vis glm: > x <- rnorm(15) > y <- 1 + 10*x + rnorm(15) > z <- as.factor(rep(c("A","B","C"),rep(5,3))) > xyz <- data.frame(x,y,z) > fit.lm <- lm(y ~ x + z, data=xyz, subset=(z != "C")) > fit.glm <- glm(y ~ x +

I have just committed some code to the r-devel branch to implement the Rao efficient score test. This is asymptotically equivalent to the LRT, but there is some indication that it might have better properties in smaller samples since it is based more directly on the distribution of the sufficient sums under the null hypothesis (e.g., if you have a divergent fit to the model under the alternative,

This might more properly be filed as a bug report, but ... I came upon the following problem while trying to dyn.load a library of Fortran code into R. I'm running RedHat 7.1 on a Pentium III laptop, with R version 1.3.1 (latest rpm from CRAN) and gcc/g77 version 2.96. My library has a number of Fortran subroutines that have underscores in their names for readability. By default g77

{again a message that was sent to owner-r-help (which is me, currently) why on earth ???!??!? reply to R-help or the original sender Brett Presnell; } I'm teaching a categorical data analysis course this term, and a minor "problem" has resurfaced that I have often thought about before. This applies equally to Splus I suppose, but my undergrads aren't using Splus. It

I apologize in advance if this is the wrong forum for this report/request, and for the fact that I have not read the code for ftable.formula in any detail. >From reading the documentation for ftable.formula, I expected that the following two calls to ftable would produce the same results: data(UCBAdmissions) ftable(UCBAdmissions, row.vars = "Dept", col.vars = c("Gender",

Hello, everyone I have a question. Assume I have the following zoo object: me.la <- structure(c(1524.75, 1554.5, 1532.25, 1587.5, 1575.25, 1535.5, 1550, 1493.5, 1492.5, 1472.25, 1457.5, 1442.75, 1399, 1535.75, 1565.25, 1543.5, 1598.5, 1586.5, 1547, 1561.5, 1504.75, 1503.75, 1483.75, 1468.75, 1453.75, 1410, 1546.75, 1575.25, 1554, 1609, 1597.5, 1558.5, 1573, 1516.25, 1515.5, 1495, 1480, 1465,

Hi Rich, I ran this command to spot a few typos: git ls-files|misspellings -f -|grep -v '^po' Here are fixes: >From ec62fad96cc2884c8fd43ecb550a8bcac317cca0 Mon Sep 17 00:00:00 2001 From: Jim Meyering <meyering at redhat.com> Date: Wed, 18 Apr 2012 11:15:57 +0200 Subject: [PATCH libguestfs] maint: fix doc typos Fix typos spotted by http://github.com/lyda/misspell-check. *

I have a couple of applications (backup, Cacti, Asset Tracking) where I want a node to have some package and config installed, and once that is done, some config to be done on another system to register the client with a central server. Is there a standard way to do this, short of having some kind of web service accessible from all the client systems? From my limited Puppet knowledge, anything I