The standard approach for prediction is via a predict() method for the class of the model fit. So, have you checked ?predict.naiveBayes
If this does not satisfy your needs, you are on your own. Possibly your best course of action then is to contact the maintainer as the posting guide (linked below) recommends for "non-standard" packages. (?maintainer) Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sat, Feb 27, 2021 at 6:42 AM Jeff Reichman <reichm...@sbcglobal.net> wrote: > R User Forum > > Is there a better way than grabbing individual cell values from a model > output to make predictions. For example the output from the following Naïve > Bayes model > > library(e1071) > > ## Example of using a contingency table: > data(Titanic) > m <- naiveBayes(Survived ~ ., data = Titanic) > m > > will produce the following results: > > Call: > naiveBayes.formula(formula = Survived ~ ., data = Titanic) > > A-priori probabilities: > Survived > No Yes > 0.676965 0.323035 > > Conditional probabilities: > Class > Survived 1st 2nd 3rd Crew > No 0.08187919 0.11208054 0.35436242 0.45167785 > Yes 0.28551336 0.16596343 0.25035162 0.29817159 > > Sex > Survived Male Female > No 0.91543624 0.08456376 > Yes 0.51617440 0.48382560 > > Age > Survived Child Adult > No 0.03489933 0.96510067 > Yes 0.08016878 0.91983122 > > Say I want to calculate the probability of P(survival = No | Class = 1st, > Sex = Male, and Age= Child). > > While I can set an object (e.g. myObj <- m$tables$Class[1,1]) to the > respective cell and perform the calculation, there must be a better way, as > I continue to learn R. > > Jeff > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
