#' The checkHeight function calculates the difference between a given data set of persons with the mean height of that data set.
#' You can choose between the overall mean and the sex specific mean by changing the sex.specific value
#'
#' @export
#' @import dplyr
#' @import checkmate
checkHeight = function(students.input = students, sex.specific = TRUE,
print.statement = FALSE) {
assertLogical(sex.specific)
assertDataFrame(students.input,
types = c("numeric", "numeric", "numeric", "factor", "character"),
min.rows = 4,
ncols = 5)
assertNumeric(students.input[, 3], lower = 1.3, upper = 2.4)
assertFactor(students.input[, 4], n.levels = 2)
# if sex.specific = T
if (sex.specific == TRUE) {
diff = apply(students.input, MARGIN = 1, FUN = function(s){
if (s["sex"] == "M") {
round(as.numeric(s["height"]) -
myOwnMean(students.input$height[students.input$sex == "M"]),
2) * 100
} else {
round(as.numeric(s["height"]) -
myOwnMean(students.input$height[students.input$sex == "F"]),
2) * 100
}
})
students.input$diff = diff
if (print.statement == TRUE) {
print("Yippie, I calculated the mean differences!")
}
return(students.input)
# if sex.specific = F
} else {
students.input$diff = round(students.input$height -
myOwnMean(students.input$height), 2) * 100
if (print.statement == TRUE) {
print("Yippie, I calculated the mean differences!")
}
return(students.input)
}
}
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