similar to: Can I do content analysis by R?

Thank for your help I obtained profiles and I found mosaicplot as an interesting alternative. I don't like my solution about legend in profiles graphics: I inserted empty extra columns in order to avoid tue superimposed of legend. #Data N <- matrix(0,3,6) N[1,] <- c(7,7,5,0,4,4) N[2,] <- c(0,0,0,5,5,5) N[3,] <- c(4,4,0,0,3,0) rownames(N) <-

Hi, I don't know how to sample such data, it can't be done by row sampling as default method on matrix in boot. Function takes matrix and returns single coefficient. #There is a macro but I want use R :) http://www.comm.ohio-state.edu/ahayes/SPSS%20programs/kalphav2_1.SPS library(concord) library(boot) # The data are rates among observers with NA's

Is there a way to estimate a nominal response model? To be more specific let's say I want to calibrate: \pi_{v}(\theta_j)=\frac{e^{\xi_{v}+\lambda_{v}\theta_j}}{\sum_{h=1}^m e^{\xi_{h}+\lambda_{h}\theta_j}} Where $\theta_j$ is a the dependent variable and I need to estimate $\xi_{h}$ and $\lambda_{h}$ for $h \in {1...,m}$. Thank you, Mauricio Romero Quantil S.A.S. Cel: 3112231150

Dear Users, How can I obtain a profiles graphic in a CT similar to Excel. Campo Elias PARDO [[alternative HTML version deleted]]

new R package FactoClass to combine factorial methods and cluster analysis is uploaded to CRAN. This package is implemented in order to perform a multivariate exploration of a data table according to Lebart et al. (1995). We use some ade4 functions (Chessel et al. 2004) to perform the factorial analysis of the data and some stats functions in R to perform cluster methods. Some new functions are

new R package FactoClass to combine factorial methods and cluster analysis is uploaded to CRAN. This package is implemented in order to perform a multivariate exploration of a data table according to Lebart et al. (1995). We use some ade4 functions (Chessel et al. 2004) to perform the factorial analysis of the data and some stats functions in R to perform cluster methods. Some new functions are