similar to: sparse.model.matrix Generates Non-Existent Factor Levels if Ord.factor Columns Present

color and clarity are ordered factors, so sparse.model.matrix is generating orthogonal-polynomial contrasts (see ?contr.poly). This is by design ... what are you trying to do? Are you interested in fac2sparse? On 18-02-07 11:00 PM, Dario Strbenac wrote: > Good day, > > Sometimes, sparse.model.matrix outputs a dgCMatrix which has column names consisting of factor levels that were not

Hi list, I am wondering if anybody knows if the Ord-Getis O statistics of local spatial autocorrelation in the presence of the global spatial association is implemented in any of the R packages - and of course in which package ;-)). I am not interested in Getis-Ord G statistics, for now. Thank you in advance, Monica Monica Palaseanu-Lovejoy University of Manchester School of Geography

Sorry for the repetition, unless I've got bad deja vu this questions been asked before but I couldn't turn up an answer on CRAN. Is there already any code in existence for local dependence measures such as Moran's I or Getis and Ord G? Also, S-Plus has a number of interstingly named Cluster Algorithms based on some previous stand-alone fortran algorithms (agnes, daisy etc.) which

Hello: I need to take a species-sample matrix and transpose it to the format used by PC-ORD for analysis. Unfortunately, the number of species is very large (>5000), and so this operation cannot be performed simply in an application like Excel, which has a 255 column limit. So, I wrote relatively simple code in R that I hoped would do this (appended below). But there are glitches. The