enquiry about errorest with model-knn
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Liu, Xin ▴ 130
@liu-xin-909
Last seen 9.7 years ago
Dear all, Can somebody give me a clue why I always get the following error? errorest(Species ~ ., data = iris, model = knn, estimator = "cv")$err Error in model(formula, data = folddata, ...) : unused argument(s) (data ...) Xin LIU This e-mail is from ArraDx Ltd The e-mail and any files transmitted with it are confidentia...{{dropped}}
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@holger-schwender-344
Last seen 9.7 years ago
Hi Xin, first of all you must replace knn by ipredknn. Then you have to write your own predict function (see the help of errorest in the ipred package). Something like > mypredict.knn <- function(object, newdata) + predict(object, newdata = newdata,type="class") should work. Then your knn analysis can be done by > errorest(Species ~ ., data = iris, model = ipredknn, estimator = "cv", + predict=mypredict.knn) By the way, this is actually a question for the R help and not for the BioC help. Best, Holger > Dear all, > > Can somebody give me a clue why I always get the following error? > > errorest(Species ~ ., data = iris, model = knn, estimator = "cv")$err > > Error in model(formula, data = folddata, ...) : > unused argument(s) (data ...) > > Xin LIU > > This e-mail is from ArraDx Ltd > > The e-mail and any files transmitted with it are confidentia...{{dropped}} > > _______________________________________________ > Bioconductor mailing list > Bioconductor@stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > -- +++ Sparen Sie mit GMX DSL +++ http://www.gmx.net/de/go/dsl AKTION für Wechsler: DSL-Tarife ab 3,99 EUR/Monat + Startguthaben
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Liaw, Andy ▴ 360
@liaw-andy-125
Last seen 9.7 years ago
The function knn() has no formula interface nor a predict() function (for good reasons), which errorest() requires, as said in the `Details' section of ?errorest: Any model can be specified as long as it is a function with arguments model(formula, data, subset, na.action, ...). If a method predict.model(object, newdata, ...) is available, predict does not need to be specified. However, predict has to return predicted values in the same order and of the same length corresponding to the response. See the examples below. Andy > From: Liu, Xin > > Dear all, > > Can somebody give me a clue why I always get the following error? > > errorest(Species ~ ., data = iris, model = knn, estimator = "cv")$err > > Error in model(formula, data = folddata, ...) : > unused argument(s) (data ...) > > Xin LIU > > This e-mail is from ArraDx Ltd > > The e-mail and any files transmitted with it are > confidentia...{{dropped}} > > _______________________________________________ > Bioconductor mailing list > Bioconductor@stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > >
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