#' Create SPECTF dataset
#'
#' Single-photon emission computed tomography
#'
#' First 80 train, the rest is test
#'
#' formula(Diagnosis ~ .)
#'
#' @inheritParams createDiabetes
#' @export
createSPECTF<-function(file=getfilepath("SPECTF.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/spect/SPECTF.train")
data2 <- fread("http://archive.ics.uci.edu/ml/machine-learning-databases/spect/SPECTF.test")
data<-rbind(data,data2)
setnames(data,colnames(data),c("Diagnosis",c(paste0(rep(paste0("F",1:22),each=2),c("R","S")))))
# Scale by 100
data[,colnames(data)[-1]:=data[,-1,with=F]/100]
data$Diagnosis<-factor(data$Diagnosis,levels=0:1,labels=c("Abnormal","Normal"))
if (write) {
saveRDS(data, file=file)
}
} else {
data<-readRDS(file)
}
return(data)
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.