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I'm trying to build a vector (fitting systems of equations) and I'm having a little trouble getting the response variables from a list of formulas... bdgmodel <- lbdg ~ d1sqr + ld1 + lhg hgmodel <- lhg ~ ht2 + lht + whc inst <- ~ d1sqr + ld1 + ht2 + lht + whc systemeq <- list( bdgmodel, hgmodel ) # manually generate the y matrix... y <- cbind( matrix( lbdg ),

...Any suggestion on how might I change seaKen in order to use it with tsboot? Or how might I write my "statistic" in tsboot? I am using: R version 2.11.1 (2010-05-31) on a Debian testing x86_64 Thanks, regards, Alessandro -- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Alessandro Bigi Dipartimento di Ingegneria Meccanica e Civile University of Modena and Reggio Emilia via Vignolese 905/b, I-41125 Modena phone: +39-059-2056328 fax: +39-059-2056126 skype: ale.bigi email: alessandro.bigi at unimore.it ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

...0 The problems I can see are: 90 and 135 winds are missing frequency for magnitude are not assigned as I was expected (mags are up to 10) Frequency in windrose are .6 for each one of the three non-empty column What am I doing wrong in here? Thanks, Alessandro ~~~~~~~~~~~~~~~~~~ Alessandro Bigi E-mail: a.bigi at bham.ac.uk Tel: +44 (0)12141 47297 Location: Public Health 209 ~~~~~~~~~~~~~~~~~~

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 -- --