Create an exercise plan based on current weight, height, age and target BMI.

The calorie consumption needed each day is computed and a set of activities is suggested accordingly. If return_graph is True, a ggplot object instead of a dictionary.

exercise_plan(
  weight,
  height,
  sex,
  age,
  target_weight,
  number_of_days,
  return_graph = FALSE
)

Arguments

weight: A numeric vector of body weight value, in kilograms.
height: A numeric vector of height, in meters.
sex: An integer vector of sex, used in the Harris–Benedict equation estimation, 1 for male and 2 for female.
age: An integer vector of current age, in years.
target_weight: A numeric vector of target weight, in kilograms.
number_of_days: An integer vector of number of days to reach the target weight.
return_graph: TRUE or FALSE on whether to return a graphical visualization instead of a dictionary.

Value

A dictionary of recommended exercises, or a graph plotting that

Examples

exercise_plan(100, 1.83, 2, 27, 68, 30)
#> Leisure cycling or walking      Moderate rope-jumping 
#>                        213                         88 
#>            General running           Leisure swimming 
#>                        112                        156