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simdesign_morris

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)

nlrx

Setup, Run and Analyze 'NetLogo' Model Simulations from 'R' via 'XML'

v0.4.2
GPL-3
Authors
Jan Salecker [aut, cre] (<https://orcid.org/0000-0002-9000-4229>), Marco Sciaini [aut] (<https://orcid.org/0000-0002-3042-5435>), Marina Papadopoulou [rev] (Marina reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/262>)
Initial release

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