Running ‘compute.animation_tests.R’ [4s/6s]
  Running ‘d3_animation_tests.R’ [9s/11s]
  Running ‘effects_tests.R’ [12s/15s]
  Running ‘filmstrip_tests.R’ [8s/10s]
  Running ‘layout_tests.R’ [4s/6s]
  Running ‘networkAnimationTest.R’ [7s/10s]
  Running ‘proximity.timeline_test.R’ [4s/7s]
Running the tests in ‘tests/proximity.timeline_test.R’ failed.
Complete output:
  > # some tests tfor the proximity.timeline function
  > require(ndtv)
  Loading required package: ndtv
  Loading required package: network
  network: Classes for Relational Data
  Version 1.13.0 created on 2015-08-31.
  copyright (c) 2005, Carter T. Butts, University of California-Irvine
                      Mark S. Handcock, University of California -- Los Angeles
                      David R. Hunter, Penn State University
                      Martina Morris, University of Washington
                      Skye Bender-deMoll, University of Washington
   For citation information, type citation("network").
   Type help("network-package") to get started.
  
  Loading required package: networkDynamic
  
  networkDynamic: version 0.9.0, created on 2016-01-12
  Copyright (c) 2016, Carter T. Butts, University of California -- Irvine
                      Ayn Leslie-Cook, University of Washington
                      Pavel N. Krivitsky, University of Wollongong
                      Skye Bender-deMoll, University of Washington
                      with contributions from
                      Zack Almquist, University of California -- Irvine
                      David R. Hunter, Penn State University
                      Li Wang
                      Kirk Li, University of Washington
                      Steven M. Goodreau, University of Washington
                      Jeffrey Horner
                      Martina Morris, University of Washington
  Based on "statnet" project software (statnet.org).
  For license and citation information see statnet.org/attribution
  or type citation("networkDynamic").
  
  Loading required package: animation
  Loading required package: sna
  Loading required package: statnet.common
  
  Attaching package: 'statnet.common'
  
  The following object is masked from 'package:base':
  
      order
  
  sna: Tools for Social Network Analysis
  Version 2.4 created on 2016-07-23.
  copyright (c) 2005, Carter T. Butts, University of California-Irvine
   For citation information, type citation("sna").
   Type help(package="sna") to get started.
  
  
  ndtv: version 0.10.0, created on 2016-5-6
  Copyright (c) 2016, Skye Bender-deMoll, University of Washington
                      with contributions from
                      Martina Morris, University of Washington
  Based on "statnet" project software (statnet.org).
  For license and citation information see statnet.org/attribution
  or type citation("ndtv").
  
  > require(testthat)
  Loading required package: testthat
  > 
  > test<-network.initialize(10)
  > add.edges.active(test,head=1:9,tail=2:10,onset=0,terminus=10)
  > add.edges.active(test,head=1,tail=3,onset=1,terminus=2)
  > proximity.timeline(test)
  collapsing slice networks ...
  computing vertex positions using 1D isoMDS layout ...
    computing positions for slice 1
    computing positions for slice 2
    computing positions for slice 3
    computing positions for slice 4
  rendering splines for each vertex ...
  > 
  > data(McFarland_cls33_10_16_96)
  > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),vertex.cex=(cls33_10_16_96%v%'type'=='instructor')*4+1,labels.at=45)
  collapsing slice networks ...
  computing vertex positions using 1D isoMDS layout ...
    computing positions for slice 1
    computing positions for slice 2
    computing positions for slice 3
    computing positions for slice 4
    computing positions for slice 5
    computing positions for slice 6
    computing positions for slice 7
    computing positions for slice 8
    computing positions for slice 9
    computing positions for slice 10
  rendering splines for each vertex ...
  > 
  > # test algorithm types
  > # isoMDS is default, so already tested
  > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),mode='sammon')
  collapsing slice networks ...
  computing vertex positions using 1D sammon layout ...
    computing positions for slice 1
    computing positions for slice 2
    computing positions for slice 3
    computing positions for slice 4
    computing positions for slice 5
    computing positions for slice 6
    computing positions for slice 7
    computing positions for slice 8
    computing positions for slice 9
    computing positions for slice 10
  rendering splines for each vertex ...
  > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),mode='cmdscale')
  collapsing slice networks ...
  computing vertex positions using 1D cmdscale layout ...
    computing positions for slice 1
    computing positions for slice 2
    computing positions for slice 3
    computing positions for slice 4
    computing positions for slice 5
    computing positions for slice 6
    computing positions for slice 7
    computing positions for slice 8
    computing positions for slice 9
    computing positions for slice 10
  rendering splines for each vertex ...
  > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),mode='gvNeato')
  collapsing slice networks ...
  computing vertex positions using 1D gvNeato layout ...
    computing positions for slice 1
    computing positions for slice 2
    computing positions for slice 3
    computing positions for slice 4
    computing positions for slice 5
    computing positions for slice 6
    computing positions for slice 7
    computing positions for slice 8
    computing positions for slice 9
    computing positions for slice 10
  rendering splines for each vertex ...
  There were 18 warnings (use warnings() to see them)
  > # only check MDSJ if allready installed
  > has.mdsj<-ndtv:::check.mdsj(ask=FALSE)
  The MDSJ Java library does not appear to be installed. The ndtv package can use MDSJ to provide a fast accurate layout algorithm. It can be downloaded from http://algo.uni-konstanz.de/software/mdsj/
  Error in install.mdsj(mdsj.dir) : 
    Unable to install MDSJ because the package path /home/hornik/tmp/R.check/r-devel-clang/Work/build/Packages/ndtv/java/does not appear to have write permissions
  Calls: <Anonymous> -> install.mdsj
  Execution halted