similar to: Association Measures

Dear colleagues in R, Has anybody implemented the 1) (Goodman & Kruskal) lambda 2) (Thiel's) uncertainty coefficient Tanks Rafael M Ramos [[alternative HTML version deleted]]

The Goodman/Kruskal gamma is a nice descriptive rank-order correlation statistic, often used in psychology. It is nice because it is easy to understand. It takes all pairs of values of each variable and asks whether they are congruent (S+ is the number in the same order for both variables) or discordant (S-, opposite ranking). The statistic is (S+ - S-)/(S+ + S-). It is like tau except for the

Dear List, I would like to calculate the Goodman-Kruskal gamma for the predicted classes obtained from an ordinal regression model using lrm in the Design package. I couldn't find a way to get gamma for predicted values in Design so have found previous positings suggesting to use : Rcorr.cens(x, S outx = TRUE) in the Hmisc package My question is, will this work for predicted vs

Dear r-helpers! I want to classify my vegetation data with hierachical cluster analysis. My Dataset consist of Abundance-Values (Braun-Blanquet ordinal scale; ranked) for each plant species and relev?. I found a lot of r-packages dealing with cluster analysis, but none of them is able to calculate a distance measure for ranked data. Podani recommends the use of Goodman and Kruskals' Gamma for

Dear colleagues in R, Has anybody implemented the 1) (Goodman & Kruskal) lambda or the 2) (Thiel's) uncertainty coefficient statistics (in the asymmetric and symmetric forms), or is anyone aware that they might reside in some package? A search in the R archives does indicate that they are (somehow) part of the CoCo package, but I would rather not start learning how to transform my

Dear R-helpers, I recently switched from SAS to R, in order to model the occurrence of rare events through logistic regression. Is there a package available in R to calculate the Goodman-Kruskal Gamma? After searching a bit I found a function "rcorr.cens" which should do the job, but it is not clear to me how to define the input vectors? Is "x" a vector with the fitted

Hello forum, I want to find in survey how to test V-cramer and coefficient Goodman-Kruskal gamma, to test the collinearity between varibles to enter a model. For the V-Cramer function is used with the package vcd assocstats but without considering the survey package. I appreciate the cooperation. Att. Diana Martinez [[alternative HTML version deleted]]

Lets say I have an * at my business, with 7960 SIP phones. All the sip phones are registered using their extension number (like 305), but I would also like to put my SIP URI on my business card and in a name format, not an extension number (like lee.goodman), so that the SIP URI would read lee.goodman@asterisk.company.com. How would I set this up in extensions.conf? I got

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 =

Hello R-Users, I have been using (nnet) by Ripley to train a neural net on a test dataset, I have obtained predictions for a validtion dataset using: PP<-predict(nnetobject,validationdata) Using PP I can find the -2 log likelihood for the validation datset. However what I really want to know is how well my nueral net is doing at classifying my binary output variable. I am new to R and I

On Wed, 1 Aug 2007, Upasna Sharma <upasna at iitb.ac.in> wrote: > From: "Upasna Sharma" <upasna at iitb.ac.in> > Subject: [R] Goodman Kruskal's tau > > I need to know which package in R calculates the Goodman Kruskal's > tau statistic for nominal data. Also is there any implementation for > multiple classification analysis (Andrews at al 1973) in R?

Dear list, I have a problem on calculating the standard error of Goodman-Kurskal's gamma using delta method. I exactly follow the method and forumla described in Problem 3.27 of Alan Agresti's Categorical Data Analysis (2nd edition). The data I used is also from the job satisfaction vs. income example from that book. job <- matrix(c(1, 3, 10, 6, 2, 3, 10, 7, 1, 6, 14, 12, 0, 1, 9,

Does anyone know which package include the computation of Cochran’s Q statistic in R? jlfmssm [[alternative HTML version deleted]]

> > Hi All: > > I am using R to calculate exact 95% confidence interval using Clopper > Pearson method. I am using the following code but it seems to get into a > loop and not get out of it, it goes on forever although I am looping it > only 10 times across 63 sites with 10 observations per site. I was hoping > to get some help. > > Thanks > Anamika >

dear colleagues, I want to use hierarchical partitioning methods to evaluate variance contributions of differente predictors within a generalized linear mixed model framework. I don't know if this is possible, because I can not found anything about this issue. My error is poisson and I, at least, a random factor in the designed analysis. I acknowledge any idea about how deal with

Hello all, I wanted to announce a new R search engine I made that covers all the major R mailing lists, CRAN, r-project.org, and more. Results are tabbed, so you can refine the search. Current refinements include searching just the mailing lists, searching just introductions, and searching the web for source files ending in .R. Please send comments and suggestions. If you want to add sites to

I've moved several samba servers to a new domain and subsequently they will not authenticate with the new PDC (using Server or Domain security). I've updated the "workgroup" and "password server" and they show up in the N'Hood, public shares are accessable, but shares that require authentication are not. Any ideas? I'm hoping it's something obvious

Hello! I want to calculate simultaneous confidence intervals for a nominal variable with three categories: "yes", "no", "partially" and I expect that far more than 5 samples fall into each category. I have read that Glaz & Sison's method is only appropriate for variables with 7 or more categories. Therefore, the Goodman method seems like a good idea. I have

the method is described in the article:goodman leo A.,a modified multiple regression approch to analysis of dischotomous variables",american sociological review 33(hebruary):28-46 thank you in advance:)

I have a data set to be analyzed using to binary logistic regression. The data set is iin grouped form. My question is: how I can compute Hosmer-Lemeshow test and measures like sensitivity and specificity? Any suggestion will be greatly appreciated. Thank you Endy [[alternative HTML version deleted]]