foodquotient (version 0.1.1)

macquotient: 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)

Value

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

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

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)
}