simdesign_morris {nlrx} | R Documentation |
Add a morris elementary effects simdesign to a nl object
Description
Add a morris elementary effects simdesign to a nl object
Usage
simdesign_morris(nl, morristype, morrislevels, morrisr, morrisgridjump, nseeds)
Arguments
nl |
nl object with a defined experiment |
morristype |
morris design type |
morrislevels |
number of parameter levels |
morrisr |
morris r value |
morrisgridjump |
morris grid jump value |
nseeds |
number of seeds for this simulation design |
Details
This function creates a simdesign S4 class which can be added to a nl object.
Variables in the experiment variable list need to provide a numeric distribution with min, max and qfun (e.g. list(min=1, max=4, qfun="qunif")).
The morris simdesign uses the sensitivity package to set up a morris elementary effects sensitivity analysis, including a simobject of class morris and a input tibble for simulations. For details on method specific sensitivity analysis function parameters see ?morris Finally, the function reports a simdesign object.
Value
simdesign S4 class object
Examples
# To attach a simdesign, a nl object needs to be created first (see ?nl).
# For this example, we load a nl object from test data.
nl <- nl_morris
nl@simdesign <- simdesign_morris(nl=nl,
morristype="oat",
morrislevels=4,
morrisr=20,
morrisgridjump=2,
nseeds=3)