Transform the elemental effects array into a tibble — ee_to

ee_to_dataframe takes the morris output and transforms the 4-dimensional elemental effects array into a more useful tibble

Usage

ee_to_dataframe(p, situation, cycle_length)

p: is the output of the aquacrop_morris function
situation: are the situations listed in the aquacrop_morris() function
cycle_length: is the cycle_length parameter in the aquacrop_morris() function

a tibble with 6 variables: traject, par, DAP, outvar, ee and Scenario

The resulting tibble has 6 variables:

traject: refers to the trajectory number in the Morris design
par: the parameters that for which the sensitivity is evaluated
DAP: the Days After Planting of the simulation as we save a time series
outvar: the output variables for which the sensitivity is evaluated
ee: the elemental effects as output from the aquacrop_morris() function. These elemental effects are scaled for the parameter range (see sensitivity::morris()).
Scenario: the scenarios for which the simulation was done