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uci-ml-to-r/data-collection/breast-cancer-wisconsin-original/preprocess.R

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preprocessDataset = function()
{
csv.file = "breast-cancer-wisconsin.data"
dataset = read.csv(paste0(orig.dir, "/", csv.file), header=FALSE)
colnames(dataset) = c("Sample code number", "Clump Thickness",
"Uniformity of Cell Size", "Uniformity of Cell Shape",
"Marginal Adhesion", "Single Epithelial Cell Size",
"Bare Nuclei", "Bland Chromatin", "Normal Nucleoli",
"Mitoses", "Class")
dataset = dataset %>% select(-`Sample code number`) %>%
filter(`Bare Nuclei` != "?") %>%
mutate(Class=factor(Class),
`Bare Nuclei`=as.integer(`Bare Nuclei`)) %>%
droplevels()
return(dataset)
}