#' Create Wisconsin Breast Cancer Diagnosis
#'
#' From UCI:
#' Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image. A few of the images can be found at http://www.cs.wisc.edu/~street/images/
#'
#' formula(Diagnosis ~ . -ID)
#'
#' @inheritParams createDiabetes
#' @export
createWDBC<-function(file=getfilepath("WDBC.rds"),write=TRUE,read=TRUE) {
# Check if the user forced the recreation of the datasets or whether the datafile is missing on disk
if (!read | !file.exists(file)) {
data <- fread("http://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data")
setnames(data,colnames(data),c("ID","Diagnosis",paste0(rep(c("Mean","SD","Worst"),each=10),rep(c("Radius","Texture","Perimeter","Area","Smoothness","Compactness","Concavity","ConcavePoints","Symmetry","FractalDimension"),3))))
data$Diagnosis<-factor(data$Diagnosis,levels=c("M","B"),labels=c("Malignant","Benign"))
if (write) {
saveRDS(data, file=file)
}
} else {
data<-readRDS(file)
}
return(data)
}
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