| set_Parameter {sandbox} | R Documentation | 
Set Profile- and Grain-Specific Model Parameters.
Description
The function defines one model parameter used to generate a set of virtual grains. A parameter is defined in a probabilistic way, as parametric distribution function. Each parameter of the distribution function can be changed through time using set_Rule.
Usage
set_Parameter(book, parameter, type)
Arguments
| book | list object, rule book to be edited. | 
| parameter | character scalar, keyword defining the parameter to be defined. Some parameters can be described by more than one function, see details. | 
| type | character scalar, keyword defining the distribution
function used to describe the parameter. See details for available
keywords, default is  | 
Details
The following parameter types are available:
-  exact: parameter does not vary at all. No additional parameters needed except for vectorvalue, defining the constant values for corresponding depths.
-  uniform: parameter varies following a uniform distribution. The following additional parameter vectors are required:min(minimum) andmax(maximum)
-  normal: parameter varies following a normal distribution, which is defined by mean and standard deviation
-  gamma: parameter varies following a gamma distribution, defined by shape parameter, scale parameter) and offset (defining constant offset of values)
Value
A list object.
Author(s)
Michael Dietze, GFZ Potsdam (Germany)
Examples
## get empty rule book
book_1 <- get_RuleBook(book = "empty")
## set density from default "normal" to "exact"
book_2 <- set_Parameter(book = book_1,
                        parameter = "density",
                        type = "exact")
book_1$density$density_1$type
book_2$density$density_1$type