Calculate the Cost and Environmental Impact of a Ideal Diet


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Documentation for package ‘DIETCOST’ version 1.0.0.0

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addConstraintData Food constraint data addition
addEmissionData Emission data addition
addFoodGroupsConstraintData Food group constraint data addition
addNutrientData Nutrients data addition
addPriceData Price data addition
add_float_range Float range
add_range Discrete range
calculateGroupedResults Calculates grouped results for a Monte Carlo Simulation
calculateResults Calculates results for a Monte Carlo Simulation
checkLinkedFoods Linked foods check
checks_optional_food_groups Optional food groups check
checkZeroDiff All zero difference check
check_function Missing value check
check_id_defined ID mismatch check
check_match_food_price Food/price mismatch check
check_match_individual_diet Individual/diet mismatch check
check_min_exists Minimum intake food groups check
check_nom_num_df Applies non-nummeric value check to entire dataframe
check_non_num Non-numeric check
check_spelling Spellcheck
check_variety Variety check
converts_dataframe Weekly conversion
convertWeeklyFoodGroups Food group serves conversion
convertWeeklyNutrientTargets Nutrient targets conversion
createFoodData Food data creation
createFoodGroupData Food group data creation
createNutrientTargets Nutrients data addition
createRandomMeal Random meal plan
diff_calc Difference calculator
energy_conversor MJ to KJ conversion
foodData Single-function food dataframe creation
foodGroupData Single-function food group dataframe creation
foods Foods dataset example
food_groups Food groups dataset example
getDifference General difference calculation
getFoodGroupServes Food group serves calculator
getNutrients Nutrients values calculator
getPerc Percentage values calculator
join_function Join function
monteCarlo Monte Carlo simulation
monteCarloSimulation Single-function Monte Carlo simulation and results export.
nutrientDataCalculation Nutrient data application to random meal plan created
nutrient_targets Nutrients dataset example
permitted_individuals Permitted individuals check
priceEmissionData Price/emission data application to random meal plan created
printResults Exportation of Monte Carlo results
random_plan Random deletion
redmeat_check Redmeat flag
remove_suffix Suffix removal
sample_safe Safe sampling
sauces_protein_discretionary_change Sauces, protein and discretionary food groups treatment
standard_name_check Standard name check
starchy_fill Starchy vegetables serves addition
treat_df Pre-treatment of constraint data
treat_groups_df Treatment of food group constraints dataframe
unique_values Unique value check
upload_data Data upload