Using S-Plus for Windows 4.5 & 2000. I'm trying to extract components of objects, but am having difficulty. I have several dataframes each with a response variable of interest. The response variables
I found my answer. Use resp<-df[[control$resp[i]]] to extract the component. for(i in 1:13){ df<-get(control$df[i]) resp<-df[[control$resp[i]]] } Sorry for taking up bandwidth. Jim Pratt --Original M
I wish to thank Tom Filloon (filloon.tg@pg.com) and Luciano Molinari (Luciano.Molinari@kispi.unizh.ch) who shared their code for computing the JT test for ordered alternatives. I found Luciano's most
I am in need of code to perform a Jonckheere-Terpstra Ordered Alternatives test of some continuous data. I am hoping others may have available code to share. Any help would be appreciated. Thanks, Ja
I searched the S-News archive and did not find a suggestion for my situation. I'd like to generate bivariate beta random variables with specified correlation. Much has been discussed on S-News recent
Thanks to those who responded to my earlier message. I have received a few ideas for pursuing generation of bivariate beta random variables. My desire is to obtain positively correlated variates. Sup
Although my original posting was for generating correlated beta variates, I included the focus of my search was to simulate kappa statistics, which are used in inter-rater agreement aspects of clinic
I am using S-Plus Professional 4.5 and looking for code/algorithm for estimate parameters to a beta distribution. I have data that are expressed as percentages, and therefore are limited to 0-100, i