reduceData: Apply the requested dimension reduction technique to the...

In hsavoy/anchoredDistr: Post-Processing for the Method of Anchored Distributions

Description

reduceData returns a modifed MADproject object where the observations and realizations slots are replaced by a lower-dimensional representation

Usage

reduceData(proj, method, params, ...)

## S4 method for signature 'MADproject,'function',ANY'
reduceData(proj, method)

## S4 method for signature 'MADproject,'function','function''
reduceData(proj, method,
  params, ...)

Arguments

proj	MADproject object that has been filled by MAD# databases
method	function to apply to data
params	function for estimating the initial values of the parameters of method based on the data, if method has parameters
...	addtional arguments as needed for nls to fit method to the data

Value

proj MADproject object with reduced dimensions for inversion

Methods (by class)

• proj = MADproject,method = function,params = ANY: Fit method without any parameters (e.g, min)

• proj = MADproject,method = function,params = function: Fit method with parameters and inital guesses for the parameter values

Examples

data(pumping)
pumping.min <- reduceData(pumping, min)
plotMAD(pumping.min, "realizations")

hsavoy/anchoredDistr documentation built on Jan. 26, 2020, 8:03 p.m.