converg: Graph of Running Statistics in the Variability or in the...

In mc2d: Tools for Two-Dimensional Monte-Carlo Simulations

Graph of Running Statistics in the Variability or in the Uncertainty Dimension.

Description

This function provides basic graphs to evaluate the convergence of a node of a mc or a mccut object in the variability or in the uncertainty dimension.

Usage

converg(x, node=length(x), margin=c("var", "unc"), nvariates=1, iter=1,
	  probs=c(0.025, 0.975), lim=c(0.025, 0.975), griddim=NULL,
	  log=FALSE)

Arguments

x	A mcnode object, a mc object or a mccut object.
node	The node to be considered in a ‘⁠mc⁠’ object or a ‘⁠mccut⁠’ object, displayed either as the order number or the name of the node. By default: the last node of the object.The corresponding node should not be of type ‘⁠"0"⁠’ in a ‘⁠mc⁠’ object or of type ‘⁠"0"⁠’ or ‘⁠"V"⁠’ in a ‘⁠mccut⁠’ object.
margin	The margin used to plot the graph. ‘⁠margin⁠’ is used only if the node is a ‘⁠"VU" mcnode⁠’.
nvariates	The variates to be considered. ‘⁠nvariates⁠’ is used only for multivariates nodes.
iter	If ‘⁠margin == "var"⁠’ and the node is a ‘⁠"VU" mcnode⁠’, ‘⁠iter⁠’ specify the iteration in the uncertainty dimension to be used for the graph.
probs	The quantiles to be provided in the variability dimension.
lim	The quantiles to be used in the uncertainty dimension.
griddim	A vector of two integers, indicating the size of the grid of the graph. If ‘⁠NULL⁠’, the grid is calculated to produce a "nice" graph.
log	If ‘⁠TRUE⁠’, the data will be log transformed.

Details

If the node is of type ‘⁠"V"⁠’, the running mean, median and ‘⁠probs⁠’ quantiles according to the variability dimension will be provided. If the node is of type ‘⁠"VU"⁠’ and ‘⁠margin="var"⁠’, this graph will be provided on one simulation in the uncertainty dimension (chosen by ‘⁠iter⁠’).

If the node is of type ‘⁠"U"⁠’ the running mean, median and ‘⁠lim⁠’ quantiles according to the uncertainty dimension will be provided.

If the node is of type ‘⁠"VU"⁠’ (with ‘⁠margin="unc"⁠’ or from a ‘⁠mccut⁠’ object), one graph are provided for each of the mean, median and ‘⁠probs⁠’ quantiles calculated in the variability dimension.

Note

This function may be used on a ‘⁠mccut⁠’ object only if a ‘⁠summary.mc⁠’ function was used in the third block of the evalmccut call. The values used as ‘⁠probs⁠’ arguments in ‘⁠converg⁠’ should have been used in the ‘⁠summary.mc⁠’ function of this third block.

Examples

data(total)
converg(xVU, margin="var")
converg(xVU, margin="unc")

mc2d documentation built on July 26, 2023, 6:07 p.m.