Last data update: 2014.03.03

R: Re-scale marginal distribution to compute the distribution of...
rescalemargR Documentation

Re-scale marginal distribution to compute the distribution of w*x

Description

This function takes a marginal distribution (represetend by a 2-column matrix) and computes the marginal distribution of w*x.

Usage

rescalemarg(xx, w)

Arguments

xx

2-column matrix with x and y-values.

w

Weight to re-scale the y-values.

Details

This function simply re-scales

Value

A 2-column matrix with the new values of w*x and their associated probability densities. This is also an object of classes inla.marginal.

Author(s)

Virgilio G<c3><b3>mez-Rubio <virgilio.gomez@uclm.es>

References

INLA

See Also

inla.tmarginal

Examples


if(requireNamespace("INLA", quietly = TRUE)) {
require(INLA)
x<-seq(-3,3, by=.01)
xx<-cbind(x, dnorm(x))

xx2<-rescalemarg(xx, 3)

plot(xx, type="l", xlim=c(-9,9))
lines(xx2, col="red")
}

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(INLABMA)
Loading required package: parallel
Loading required package: sp
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/INLABMA/rescalemarg.Rd_%03d_medium.png", width=480, height=480)
> ### Name: rescalemarg
> ### Title: Re-scale marginal distribution to compute the distribution of
> ###   w*x
> ### Aliases: rescalemarg
> ### Keywords: distribution
> 
> ### ** Examples
> 
> 
> if(requireNamespace("INLA", quietly = TRUE)) {
+ require(INLA)
+ x<-seq(-3,3, by=.01)
+ xx<-cbind(x, dnorm(x))
+ 
+ xx2<-rescalemarg(xx, 3)
+ 
+ plot(xx, type="l", xlim=c(-9,9))
+ lines(xx2, col="red")
+ }
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>