mirror of
https://github.com/agdamsbo/REDCapCAST.git
synced 2024-11-22 13:30:23 +01:00
117 lines
4.7 KiB
R
117 lines
4.7 KiB
R
REDCap_process_csv <- function(data) {
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#Load Hmisc library
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if (!requireNamespace("Hmisc", quietly = TRUE)) {
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stop("This test requires the 'Hmisc' package")
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}
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Hmisc::label(data$row) <- "Name"
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Hmisc::label(data$redcap_repeat_instrument) <- "Repeat Instrument"
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Hmisc::label(data$redcap_repeat_instance) <- "Repeat Instance"
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Hmisc::label(data$mpg) <- "Miles/(US) gallon"
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Hmisc::label(data$cyl) <- "Number of cylinders"
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Hmisc::label(data$disp) <- "Displacement"
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Hmisc::label(data$hp) <- "Gross horsepower"
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Hmisc::label(data$drat) <- "Rear axle ratio"
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Hmisc::label(data$wt) <- "Weight"
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Hmisc::label(data$qsec) <- "1/4 mile time"
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Hmisc::label(data$vs) <- "V engine?"
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Hmisc::label(data$am) <- "Transmission"
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Hmisc::label(data$gear) <- "Number of forward gears"
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Hmisc::label(data$carb) <- "Number of carburetors"
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Hmisc::label(data$color_available___red) <-
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"Colors Available (choice<-Red)"
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Hmisc::label(data$color_available___green) <-
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"Colors Available (choice<-Green)"
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Hmisc::label(data$color_available___blue) <-
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"Colors Available (choice<-Blue)"
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Hmisc::label(data$color_available___black) <-
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"Colors Available (choice<-Black)"
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Hmisc::label(data$motor_trend_cars_complete) <- "Complete?"
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Hmisc::label(data$letter_group___a) <- "Which group? (choice<-A)"
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Hmisc::label(data$letter_group___b) <- "Which group? (choice<-B)"
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Hmisc::label(data$letter_group___c) <- "Which group? (choice<-C)"
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Hmisc::label(data$choice) <- "Choose one"
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Hmisc::label(data$grouping_complete) <- "Complete?"
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Hmisc::label(data$price) <- "Sale price"
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Hmisc::label(data$color) <- "Color"
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Hmisc::label(data$customer) <- "Customer Name"
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Hmisc::label(data$sale_complete) <- "Complete?"
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#Setting Units
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#Setting Factors(will create new variable for factors)
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data$redcap_repeat_instrument.factor <-
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factor(data$redcap_repeat_instrument, levels <-
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c("sale"))
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data$cyl.factor <-
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factor(data$cyl, levels <- c("3", "4", "5", "6", "7", "8"))
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data$vs.factor <- factor(data$vs, levels <- c("1", "0"))
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data$am.factor <- factor(data$am, levels <- c("0", "1"))
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data$gear.factor <- factor(data$gear, levels <- c("3", "4", "5"))
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data$carb.factor <-
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factor(data$carb, levels <-
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c("1", "2", "3", "4", "5", "6", "7", "8"))
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data$color_available___red.factor <-
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factor(data$color_available___red, levels <-
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c("0", "1"))
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data$color_available___green.factor <-
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factor(data$color_available___green, levels <-
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c("0", "1"))
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data$color_available___blue.factor <-
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factor(data$color_available___blue, levels <-
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c("0", "1"))
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data$color_available___black.factor <-
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factor(data$color_available___black, levels <-
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c("0", "1"))
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data$motor_trend_cars_complete.factor <-
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factor(data$motor_trend_cars_complete, levels <-
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c("0", "1", "2"))
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data$letter_group___a.factor <-
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factor(data$letter_group___a, levels <-
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c("0", "1"))
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data$letter_group___b.factor <-
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factor(data$letter_group___b, levels <-
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c("0", "1"))
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data$letter_group___c.factor <-
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factor(data$letter_group___c, levels <-
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c("0", "1"))
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data$choice.factor <-
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factor(data$choice, levels <- c("choice1", "choice2"))
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data$grouping_complete.factor <-
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factor(data$grouping_complete, levels <-
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c("0", "1", "2"))
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data$color.factor <-
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factor(data$color, levels <- c("1", "2", "3", "4"))
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data$sale_complete.factor <-
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factor(data$sale_complete, levels <- c("0", "1", "2"))
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levels(data$redcap_repeat_instrument.factor) <- c("Sale")
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levels(data$cyl.factor) <- c("3", "4", "5", "6", "7", "8")
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levels(data$vs.factor) <- c("Yes", "No")
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levels(data$am.factor) <- c("Automatic", "Manual")
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levels(data$gear.factor) <- c("3", "4", "5")
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levels(data$carb.factor) <-
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c("1", "2", "3", "4", "5", "6", "7", "8")
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levels(data$color_available___red.factor) <-
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c("Unchecked", "Checked")
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levels(data$color_available___green.factor) <-
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c("Unchecked", "Checked")
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levels(data$color_available___blue.factor) <-
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c("Unchecked", "Checked")
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levels(data$color_available___black.factor) <-
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c("Unchecked", "Checked")
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levels(data$motor_trend_cars_complete.factor) <-
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c("Incomplete", "Unverified", "Complete")
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levels(data$letter_group___a.factor) <- c("Unchecked", "Checked")
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levels(data$letter_group___b.factor) <- c("Unchecked", "Checked")
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levels(data$letter_group___c.factor) <- c("Unchecked", "Checked")
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levels(data$choice.factor) <- c("Choice 1", "Choice 2")
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levels(data$grouping_complete.factor) <-
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c("Incomplete", "Unverified", "Complete")
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levels(data$color.factor) <- c("red", "green", "blue", "black")
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levels(data$sale_complete.factor) <-
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c("Incomplete", "Unverified", "Complete")
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data
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}
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