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40 lines
1.5 KiB
R
40 lines
1.5 KiB
R
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preprocessDataset = function()
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{
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xls.file = "CTG.xls"
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wk = loadWorkbook(paste0(orig.dir, "/", xls.file))
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dataset = readWorksheet(wk, sheet="Raw Data")
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dataset = dataset %>% select(LB:FS, NSP, -c(DS, DR)) %>%
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filter(complete.cases(.)) %>%
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mutate(LB=as.integer(LB),
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AC=as.integer(AC),
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FM=as.integer(FM),
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UC=as.integer(UC),
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ASTV=as.integer(ASTV),
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ALTV=as.integer(ALTV),
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DL=as.integer(DL),
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DP=as.integer(DP),
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Width=as.integer(Width),
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Min=as.integer(Min),
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Max=as.integer(Max),
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Nmax=as.integer(Nmax),
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Nzeros=as.integer(Nzeros),
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Mode=as.integer(Mode),
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Mean=as.integer(Mean),
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Median=as.integer(Median),
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Variance=as.integer(Variance),
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Tendency=factor(Tendency, levels=c(-1,0,1), ordered=TRUE),
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A=factor(A),
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B=factor(B),
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C=factor(C),
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D=factor(D),
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E=factor(E),
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AD=factor(AD),
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DE=factor(DE),
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LD=factor(LD),
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FS=factor(FS),
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NSP=factor(replace(NSP, NSP==2, 3)))
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return(dataset)
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}
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