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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> 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/plotcim.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plotcim
> ### Title: Clustered Image Maps (CIMs) (heat maps)
> ### Aliases: plotcim
>
> ### ** Examples
>
> modelY_Hopx <- example.as.ESS.object()
The run is ok
You can now analyse the results
> MPPI.Hopx <-
+ plotMPPI(modelY_Hopx,threshold.model=20,threshold.variable=0.25,Figure=FALSE)
> plotcim(modelY_Hopx,select.variable=MPPI.Hopx$var.TOP.MPI)
Read 22330 items
Read 116 items
$mat.sim
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 0.2490801 0.02647336 -0.10415155 -0.55957534 0.22833102 0.06747719
[2,] 0.1787624 -0.04225032 -0.07122495 -0.17350509 0.53617164 -0.52150815
[3,] -0.3751483 0.46440155 0.02093906 -0.06100608 -0.03048752 0.14129624
[4,] 0.1615677 -0.08140259 -0.25226534 -0.35580078 0.22630945 -0.04989970
[,7]
[1,] 0.4785538
[2,] 0.2688677
[3,] 0.9002820
[4,] 0.4827163
$labelY
[1] "ADR" "Fat" "Heart" "Kidney"
$labelX
[1] "D2Cebr204s17" "D3Mit16" "D6Cebrp40s27" "D10Rat33" "Dcp1"
[6] "D11Mit4" "D14Mit3"
>
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>
> dev.off()
null device
1
>