Create and modify argument sets, then make an argument grid for batch simulation

An argument set contains the descriptions of the relevant variables in a batch simulation. Use new_arg_set() to create an arg_set object, and use add_arg_ele() to add an element to the arg_set. After adding all elements in the argument set, use make_arg_grid() to make an argument grid that can be used directly for running batch simulation.

Usage

new_arg_set()

add_arg_ele(arg_set, arg_name, ele_name, start, end, by)

nele(arg_set)

narg(arg_set)

# S3 method for class 'arg_set'
print(x, detail = FALSE, ...)

make_arg_grid(arg_set)

# S3 method for class 'arg_grid'
print(x, detail = FALSE, ...)

Arguments

arg_set

An arg_set object.

arg_name, ele_name

The name of the argument and its element in the simulation function

start, end, by

The data points where you want to test the variables. Passed to seq.

x

An arg_set object

detail

Do you want to print the object details as a full list?

...

Not in use.

Value

new_arg_set() returns an arg_set object.

add_arg_ele() returns an arg_set object.

nele() returns an integer.

narg() returns an integer.

make_arg_gird() returns an arg_grid object.

Functions

• new_arg_set(): Create an arg_set.

• add_arg_ele(): Add an element to an arg_set.

• nele(): The number of elements in an arg_set.

• narg(): The number of arguments in an arg_set.

• print(arg_set): Print an arg_set object.

• make_arg_grid(): Make an argument grid from an argument set.

• print(arg_grid): Print an arg_grid object

See also

batch_simulation() for running batch simulation and a concrete example.