search for: kknn

Dear All, I'm getting a error while trying to apply the BreastCancer dataset (package=mlbench) to kknn (package=kknn) that I don't understand as I'm new to R. The codes are as follow: rm = (list = ls()) library(mlbench) data(BreastCancer) library(kknn) BCancer = na.omit(BreastCancer) d = dim(BCancer)[1] i1 = seq(1, d, 2) i2 = seq(2, d, 2) t1 = BCancer[i1, ] t2 = BCancer[i2, ]...

...mple, select = -pID50) reducedSample <- subset(reducedSample, select = -id) for (i in 1:iterations) { miceSample <- sample(combined[,-c(1,2)],nvars, replace=FALSE) miceSample$pID50 <- combined$pID50 miceTestSample <- miceSample[47:55,] miceTrainSample <- miceSample[1:46,] fit.kknn <- kknn(pID50~., miceTrainSample, miceTestSample) table(miceTestSample$pID50, fit.kknn$fit) (fit.train1 <- train.kknn(pID50~., miceTrainSample, kmax=15, kernel=c("rectangular"), distance=1)) predictedTrain <- predict(fit.train1, miceTrainSample, miceTrainSample$pID50) pID50T...

How can I do a simple k nearest neighbor regression in R? My training data have 1 predictor and 1 outcome, both are numeric. I also need to use FPE and SC to find the optimal model. I know there is knn() in class package, but it's for knn classification. I also find a kknn package. What function should I use? Thanks in advance! Menghui

...;relaxo","ordinalNet","rrf","frbs","extraTrees"," > ipred","elasticnet","bst","brnn","Boruta","arm","elmNN"," > evtree","extraTrees","deepnet","kknn","KRLS","RSNNS","partDSA","plsRglm"," > quantregForest","ranger","inTrees") > >> new.packages <- list.of.packages[!(list.of.packages %in% > >> installed.packages()[,"Package"])] > >&gt...

...;,"ordinalNet","rrf","frbs","extraTrees"," >> ipred","elasticnet","bst","brnn","Boruta","arm","elmNN"," >> >evtree","extraTrees","deepnet","kknn","KRLS","RSNNS","partDSA","plsRglm"," >> quantregForest","ranger","inTrees") >> >> new.packages <- list.of.packages[!(list.of.packages %in% >> >> installed.packages()[,"Package"])]...

Buenas tardes. Tenía la versión 3.6.0 de R. Quería instalar el paquete edarf, pero decía que no estaba disponible para esa versión. Actualicé R a la versión 4.0.0, que creo que es la última, pero al tratar de reinstalar forestFloor, me dice que no está disponible para la versión 4.0.0. He abierto R 3.6.0 directamente, cliqueo install.packages("forestfloor") y ahora me dice que no está

...ruz Rot <marcelino.delacruz en urjc.es <mailto:marcelino.delacruz en urjc.es>> Gracias Marcelino. No tengo formación básica en programación y no siempre estoy seguro de entenderos. Le di a instalarlo desde RStudio, y salió: ERROR: dependencies 'rgl', 'kknn' are not available for package 'forestFloor' He instalado esos dos paquetes y ahora me sale: * installing *source* package 'forestFloor' ... ** package 'forestFloor' successfully unpacked and MD5 sums checked ** libs *** arch - i386 Warning i...

...ot;,"irr","ismev","ISwR","its","iWidgets","JavaGD","JGR","JLLprod","JointGL M","kappalab","Kendall","kernlab") TEMP <- c(TEMP,"KernSmooth","kinship","kknn","klaR","km.ci","KMsurv","knncat","knnFinder","knnTree","kohonen","ks","kza","kzft","labdsv","labstatR","lars","lasso2","latentnet","lattic...

CRAN (and crantastic) updates this week New packages ------------ * allan (1.0) Alan Lee http://crantastic.org/packages/allan Automates Large Linear Analysis Model Fitting * andrews (1.0) Jaroslav Myslivec http://crantastic.org/packages/andrews Andrews curves for visualization of multidimensional data * anesrake (0.3) Josh Pasek http://crantastic.org/packages/anesrake This