#' @title calculate cholesterol risk factor
#'
#' @description
#' \code{calc_cholesterol_points} returns cholesterol risk factor points given cholesterol and gender
#'
#' @param gender A character
#' @param cholesterol A number
#' @return framingham cholesterol risk score \code{cholesterol} and \code{gender}
#' @examples
#' calc_cholesterol_points(gender='f', chol=35)
calc_cholesterol_points <- function (gender,chol){
points <- 0 # set default point to be 0
# logic
if(gender=="M" || gender=="m"){
# call function for male
points <- calc_cholesterol_male(chol)
}else if(gender=="F" || gender=="f"){
# call function for female
points <- calc_cholesterol_female(chol)
}
return(points)
}
# this male specific function takes in chol and returns framingham CAD10 yeras risk points
calc_cholesterol_male <- function (chol){ # chol should be numeric
point <- 0 #set default point to be 0
# chol less 100 or more than 405 returns NA
if (chol<100 || chol >405|| is.na(chol)){
points <- NA
} else if(chol<160){ # specify cholesterol level case by case
points <- 0
} else if(chol>=160 && chol<=199){
points <- 1
} else if(chol>=200 && chol<=239){
points <- 2
} else if(chol>=240 && chol<=279){
points <- 3
}else if(chol>=280){
points <- 4
}
return(points);
}
# this female specific function takes in chol and returns framingham CAD10 yeras risk points
calc_cholesterol_female <- function (chol){ # chol should be numeric
point <- 0 # set default point to be 0
# chol less 100 or more than 405 returns NA
if (chol<100 || chol >405 || is.na(chol)){
points <- NA
} else if(chol<160){ # specify cholesterol level case by case
points <- 0
} else if(chol>=160 && chol<=199){
points <- 1
} else if(chol>=200 && chol<=239){
points <- 3
} else if(chol>=240 && chol<=279){
points <- 4
}else if(chol>=280){
points <- 5
}
return(points);
}
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