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...lht + whc systemeq <- list( bdgmodel, hgmodel ) # manually generate the y matrix... y <- cbind( matrix( lbdg ), matrix( log(hg) ) ) I would like to replace the previous line with something like... # do the three stage least squares here... for(i in 1:length( systemeq ) ) { bigy <- rbind( bigy, attr(terms(systemeq[[i]]),"variables")[2] ) } ... then go on to fit the system of equations, etc, etc, etc... attr(terms(systemeq[[i]]),"variables")[2] this statement returns "lbdg()" - without the quotes, which I can't figure out how to use.....

Dear R-users, tsboot fails when I try to perform a block bootstrap on seaKen (package wq): these commands: require(wq) require(datasets) boot.block.sen <- function(data){seaKen(data)[[1]]} tsboot(sunspot.month, boot.block.sen, R=1999, l=12, sim="fixed") return: Error in seaKen(data) : x must be a 'ts' Any suggestion on how might I change seaKen in order to use it with

> R.version _ platform i486-pc-linux-gnu arch i486 os linux-gnu system i486, linux-gnu status major 2 minor 8.1 year 2008

Dear all, quite a naive question: I have a data frame and I computed "the kernel density estimate" with density on each column. Now I'd like to export in a txt file the density function output for each column, but, when if I use write.table, I get a message "Error in as.data.frame.default(x[[i]], optional = TRUE) : can't coerce class "density" into a

Dear R-users, I would need to do a Friedman test with replicated samples, and Friedman.test(y...) currently works only for unreplicated designs. Is there a script or a function available? Thanks, Alessandro -- --