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computeCardio <- function(data = NULL, Vegetables, Fruit, OliveOil, OOmeasure = "gr",
Legumes, Fish, Meat, RefinedRice, RefinedBread, WholeBread, Wine,
frequency = "percent", output = "percent", rm.na = FALSE) {
arguments <- as.list( match.call() )
Fruit <- eval(arguments$Fruit, data)
Vegetables <- eval(arguments$Vegetables, data)
OliveOil <- eval(arguments$OliveOil, data)
Legumes <- eval(arguments$Legumes, data)
Fish <- eval(arguments$Fish, data)
Wine <- eval(arguments$Wine, data)
Meat <- eval(arguments$Meat, data)
RefinedRice <- eval(arguments$RefinedRice, data)
RefinedBread <- eval(arguments$RefinedBread, data)
WholeBread <- eval(arguments$WholeBread, data)
# this code chunk tests if data has not been introduced in a daily fashion, and if so, transform data to daily consumption
if(is.null(frequency)){stop("please, provide the frequency of consumption in which the data is tabulated with the 'frequency' argument. Accepted values are 'daily', 'weekly' and 'monthly'")}
if(frequency == "weekly" || frequency == "monthly"){
Vars <- list(Vegetables = Vegetables, Fuit = Fruit, OliveOil = OliveOil,
Legumes = Legumes, Fish = Fish, Meat = Meat,
RefinedRice = RefinedRice, RefinedBread = RefinedBread, WholeBread = WholeBread,
Wine = Wine)
Vars <- periodicity(Vars, OriginalFreq = frequency, TargetFreq = "daily")
Vegetables <- Vars$Vegetables
Fruit <- Vars$Fruit
OliveOil <- Vars$OliveOil
Legumes <- Vars$Legumes
Fish <- Vars$Fish
Meat <- Vars$Meat
RefinedRice <- Vars$RefinedRice
RefinedBread <- Vars$RefinedBread
WholeBread <- Vars$WholeBread
Wine <- Vars$Wine
} else {
if(frequency != "daily"){stop("accepted values for 'frequency' argument are 'daily', 'weekly' and 'monthly'")}
}
if(OOmeasure == "gr") {OliveOil <- OliveOil/0.918/15}
else {
if(OOmeasure == "ml") {OliveOil <- OliveOil/15}
else {
if(OOmeasure == "serving") {"no conversion needed"}
else {stop("check units of Olive Oil")
}
}
}
OOscore <- numeric()
OOscore[OliveOil < 1] <- 0
OOscore[OliveOil >= 1] <- 1
Frscore <- numeric()
Frscore[Fruit < 1] <- 0
Frscore[Fruit >= 1] <- 1
Vscore <- numeric()
Vscore[Vegetables < 1] <- 0
Vscore[Vegetables >= 1] <- 1
# this score marks 1 point if both vegetables and fruit consumption have received 1 point each one
FVscore <- numeric()
FVscore[Frscore == 1 & Vscore == 1] <- 1
FVscore[Frscore == 0 | Vscore == 0] <- 0
LegumesWeek <- 7 * Legumes
Lscore <- numeric()
Lscore[LegumesWeek < 2] <- 0
Lscore[LegumesWeek >= 2] <- 1
FishWeek <- 7 * Fish
Fiscore <- numeric()
Fiscore[FishWeek < 3] <- 0
Fiscore[FishWeek >= 3] <- 1
Wscore <- numeric()
Wscore[Wine < 1] <- 0
Wscore[Wine >= 1] <- 1
# this item scores either a small amount of refined cereals, or enough amount of whole bread
RefinedRiceW <- 7 * RefinedRice
WholeBreadW <- 7 * WholeBread
Rscore <- numeric()
Rscore <- ifelse((RefinedBread < 1 & RefinedRiceW < 7) | (WholeBreadW > 5), 1, 0)
score <- data.frame(OOscore, Frscore, Vscore, FVscore, Lscore, Fiscore, Wscore, Rscore)
score$absolute <- apply(score, 1, function(x) sum(x, na.rm = rm.na))
score$percent <- round(100 * score$absolute / 9, 1)
if(missing(output) || output == "percent") {return(score$percent)
} else {
if(output == "absolute") {return(score$absolute)
} else {
if(output == "data.frame") {return(score)
} else {
stop("please, select a valid output argument, admited values are 'percent' -default-, 'absolute' and 'data.frame' " )
}
}
}
}
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