macquotient {foodquotient}

Food Quotient Based on Macronutrients

Description

The macquotient function calculates a food quotient for a participant based on average daily protein, carbs, and fat consumed for an individual or a group. In contrast to the quotient function, macquotient is able to generate reliable average food quotients for a group of people rather than only individual level. Group level estimates are recomended in some studies to control for response bias.

Usage

macquotient(row)

Arguments

row

contains three components. p average daily grams of protein consumed f average daily grams of fat consumed c/ average daily grams of carbohydrates consumed

Value

one value per participant will be returned, representing the food quotient for the individual

Examples

vec <- c(34.5,43, 212.4)
macquotient(vec)


vec1 <- c(34.5,43, 212.4)
vec2 <- c(40.1,52, 240)
df <- rbind(vec1, vec2)

df_results <- data.frame()
for (i in 1:nrow(df)) {
result <- macquotient(df[i,])
df_results <- rbind(df_results, result)
}