search for: new_score

...one of my variables per-group. Normally, I would just write a huge "for each" loop, but have read that is hugely inefficient with R. The old way would be (just an example, syntax might not be perfect): for (group in data$group){ for (score in data[data$group == group]){ new_score <- score / sum(data$score[data$group==group]) } } How would I simplify this with sapply? Thanks! -- Noah

Hey .. I''m using ferret to index various objects and i''m create a Ferret::Document for each of these objects. Indexing and searching is working fine. Each of these Ferret::Documents has a ''relevance'' field, storing an integer, how relevant this object is for the search. The ''relevance'' is in the range of 1..10 Now i would like to

Dear List, Would anyone know how to perform prepared queries with ROBC ? I had a shot with some of the internal (non-exported) functions of the package but ended up with a segfault, so I prefer asking around before experimenting further... Thanks, Laurent

...one of my variables per-group. Normally, I would just write a huge "for each" loop, but have read that is hugely inefficient with R. The old way would be (just an example, syntax might not be perfect): for (group in data$group){      for (score in data[data$group == group]){          new_score <- score / sum(data$score[data$group==group])      } } How would I simplify this with sapply? Thanks! -- Noah ------------------------------ Message: 42 Date: Sun, 30 Aug 2009 15:10:09 -0700 From: Noah Silverman <noah@smartmediacorp.com> Subject: [R] SVM coefficients To: r help <...