confusionMatrix in the caret package can be used to replace your manual procedure.
You could try using RWeka, the R interface to the java Weka software. Once you have it working you could then directly interface your java program to Weka without involving R. On Thu, Apr 22, 2010 at 9:29 PM, Claus O'Rourke <claus.orou...@gmail.com> wrote: > Dear all, > > I have a couple of short noob questions for whoever can take them. I'm > from a very non-stats background so sorry for offending anybody with > stupid questions ! :-) > > I have been using logistic regression care of glm to analyse a binary > dependent variable against a couple of independent variables. All has > gone well so far. In my work I have to compare the accuracy of > analysis to a C4.5 machine learning approach. With the machine > learning, a straight-forward measure of the quality of the classifier > is simply the percentage of correctly classified instances. I can > calculate this for the resultant model by comparing predictions to > original values 'manually'. My question: is this not automatically - > or easily - calculated in the produced model or the summary of that > model? > > I want to use my model in real time to produce results for new inputs. > Basically this model is to be used as a classifier for a robot in real > time. Can anyone suggest the best way that a produced model can be > used directly in external code once the model has been developed in R? > If my external code is in Java, then using jri is one option. A more > efficient method would be to take the intercept and coefficients and > actually code up the function in the appropriate programming language. > Has anyone ever tried doing this? > > Apologies again for the stupid questions, but the sooner I get some of > these things straight, the better. > > Claus ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.