R: Visualisation of the proximity between best models
plotmodel
R Documentation
Visualisation of the proximity between best models
Description
The plotmodel function provides an image plot
of the proximity (according to an overlap metric) between the best models.
Usage
plotmodel(x, threshold.model = 20)
Arguments
x
an object of class ESS.
threshold.model
either an integer representing the number of
models to be retained in the list of best models, or a value
defining the minimal model posterior probability for inclusion.
# load an ESS object
modelY_Hopx <- example.as.ESS.object()
plotmodel(modelY_Hopx,20)
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(R2GUESS)
Loading required package: fields
Loading required package: spam
Loading required package: grid
Spam version 1.3-0 (2015-10-24) is loaded.
Type 'help( Spam)' or 'demo( spam)' for a short introduction
and overview of this package.
Help for individual functions is also obtained by adding the
suffix '.spam' to the function name, e.g. 'help( chol.spam)'.
Attaching package: 'spam'
The following objects are masked from 'package:base':
backsolve, forwardsolve
Loading required package: maps
# maps v3.1: updated 'world': all lakes moved to separate new #
# 'lakes' database. Type '?world' or 'news(package="maps")'. #
Loading required package: MCMCpack
Loading required package: coda
Loading required package: MASS
##
## Markov Chain Monte Carlo Package (MCMCpack)
## Copyright (C) 2003-2016 Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park
##
## Support provided by the U.S. National Science Foundation
## (Grants SES-0350646 and SES-0350613)
##
Loading required package: mixOmics
Loading required package: lattice
Loading required package: ggplot2
Loaded mixOmics 6.0.0
Visit http://www.mixOmics.org for more details about our methods.
Any bug reports or comments? Notify us at mixomics at math.univ-toulouse.fr or https://bitbucket.org/klecao/package-mixomics/issues
Thank you for using mixOmics!
Attaching package: 'mixOmics'
The following object is masked from 'package:maps':
map
Loading required package: mvtnorm
Loading required package: snowfall
Loading required package: snow
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/R2GUESS/plotmodel.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plotmodel
> ### Title: Visualisation of the proximity between best models
> ### Aliases: plotmodel
>
> ### ** Examples
>
> # load an ESS object
> modelY_Hopx <- example.as.ESS.object()
The run is ok
You can now analyse the results
> plotmodel(modelY_Hopx,20)
>
>
>
>
>
> dev.off()
null device
1
>
providing 
.