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Last data update: 2014.03.03

R: Plots a MNNTS marginal density

mnntsplotmarginal

R Documentation

Plots a MNNTS marginal density

Description

Plots the MNNTS marginal density function

Usage

mnntsplotmarginal(cestimates, M, component, ...)

Arguments

`cestimates`	Matrix of prod(M+1)*(R+1). The first R columns are the parameter number, and the last column the c parameter's estimators. The matrix could be the output of mnntsmanifoldnewtonestimation $cestimates
`M`	Vector with number of components in the MNNTS for each dimension
`component`	Number of the dimension for computing the marginal density
`...`	Arguments passed to the function plot

Author(s)

Juan Jose Fernandez-Duran and Maria Mercedes Gregorio-Dominguez

References

Fernandez-Duran, J.J. and Gregorio-Dominguez, M.M. (2009) Multivariate Angular Distributions Based on Multiple Nonnegative Trigonometric Sums, Working Paper, Statistics Department, ITAM, DE-C09.1

Examples

M<-c(2,3)
R<-length(M)
data(Nest)
data<-Nest
est<-mnntsmanifoldnewtonestimation(data,M,R,1000)
est
cest<-est$cestimates
mnntsplotmarginal(cest, M, 1)
mnntsplotmarginal(cest, M, 2)

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)

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(CircNNTSR)

Attaching package: 'CircNNTSR'

The following object is masked from 'package:grDevices':

    trans3d

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/CircNNTSR/mnntsplotmarginal.Rd_%03d_medium.png", width=480, height=480)
> ### Name: mnntsplotmarginal
> ### Title: Plots a MNNTS marginal density
> ### Aliases: mnntsplotmarginal
> 
> ### ** Examples
> 
> M<-c(2,3)
> R<-length(M)
> data(Nest)
> data<-Nest
> est<-mnntsmanifoldnewtonestimation(data,M,R,1000)
> est
$cestimates
   1 2                cestimates
1  0 0  0.129365319+0.000000000i
2  1 0 -0.022724537+0.030193689i
3  2 0 -0.041968214+0.017942911i
4  0 1  0.027583559+0.028548740i
5  1 1  0.017872338-0.019121344i
6  2 1 -0.021294780-0.006160541i
7  0 2 -0.001282377+0.009097531i
8  1 2  0.008477646-0.020693765i
9  2 2 -0.000597991+0.008993618i
10 0 3 -0.024891098+0.004757459i
11 1 3 -0.010734043+0.021830576i
12 2 3  0.016843000+0.012156602i

$loglik
[1] -170.9465

$AIC
[1] 385.8931

$BIC
[1] 427.9576

$gradnormerror
[1] 2.75761e-16

> cest<-est$cestimates
> mnntsplotmarginal(cest, M, 1)
> mnntsplotmarginal(cest, M, 2)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>