params and P access the parameter slot in the simList. params has a replace method, so can be used to update a parameter value.

params(sim)

# S4 method for simList
params(sim)

params(sim) <- value

# S4 method for simList
params(sim) <- value

P(sim, param, module)

P(sim, param, module) <- value

parameters(sim, asDF = FALSE)

# S4 method for simList
parameters(sim, asDF = FALSE)

Arguments

sim

A simList object from which to extract element(s) or in which to replace element(s).

value

The parameter value to be set (in the corresponding module and param).

param

Optional character string indicating which parameter to choose.

module

Optional character string indicating which module params should come from.

asDF

Logical. For parameters, if TRUE, this will produce a single data.frame of all model parameters. If FALSE, then it will return a data.frame with 1 row for each parameter within nested lists, with the same structure as params.

Value

Returns or sets the value of the slot from the simList object.

Details

parameters will extract only the metadata with the metadata defaults, NOT the current values that may be overwritten by a user. See examples.

The differences between P, params and being explicit with passing arguments are mostly a question of speed and code compactness. The computationally fastest way to get a parameter is to specify moduleName and parameter name, as in: P(sim, "paramName", "moduleName") (replacing moduleName and paramName with your specific module and parameter names), but it is more verbose than P(sim)$paramName. Note: the important part for speed (e.g., 2-4x faster) is specifying the moduleName. Specifying the parameter name is <5% faster. See also SpaDES.core-package(), specifically the section 1.2.1 on Simulation parameters. Other functions to access elements of a 'simList' object: .addDepends(), doEvent.checkpoint(), envir(), events(), globals(), inputs(), modules(), objs(), packages(), paths(), progressInterval(), times() Examples if (requireNamespace("NLMR", quietly = TRUE) && requireNamespace("SpaDES.tools", quietly = TRUE)) { opts <- options("spades.moduleCodeChecks" = FALSE) # not necessary for example modules <- list("randomLandscapes") paths <- list(modulePath = system.file("sampleModules", package = "SpaDES.core")) mySim <- simInit(modules = modules, paths = paths, params = list(.globals = list(stackName = "landscape"))) # update some parameters using assignment -- currently only params will work params(mySim)$randomLandscapes$nx <- 200 params(mySim)$randomLandscapes$ny <- 200 parameters(mySim) # Does not contain these user overridden values # These next 2 are same here because they are not within a module P(mySim) # Does contain the user overridden values params(mySim) # Does contain the user overridden values # NOTE -- deleting a parameter will affect params and P, not parameters params(mySim)$randomLandscapes$nx <- NULL params(mySim)$randomLandscapes\$ny <- NULL

parameters(mySim) # Shows nx and ny

# These next 2 are same here because they are not within a module
P(mySim)          # nx and ny are Gone
params(mySim)     # nx and ny are Gone

options(opts) # reset
}
#> Setting:
#>   options(
#>   )
#> Paths set to:
#>   options(
#>     reproducible.cachePath = '/tmp/RtmppEYNhs/myProject/cache'