gg-plots : ............
ggcorr : .........
gglyph : ............................
ggmatrix_add : ....
ggmatrix_getput : .......
ggmatrix : ....................
ggnet : ..1
ggnet2 : ................2
ggnetworkmap : ...........................................
ggpairs : .......................................................................
ggparcoord : .............................................................
ggscatmat : ......
ggsurv : ...........................
utils : .....
1. Error: examples -------------------------------------------------------------
Not a graph object
1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls)
2: eval(code, new_test_environment)
3: eval(expr, envir, enclos)
4: gplot.layout.circle(n) at test-ggnet.R:47
5: as.edgelist.sna(d)
6: is.bipartite(x)
7: stop("Not a graph object")
8: .handleSimpleError(function (e)
{
e$calls <- head(sys.calls()[-seq_len(frame + 7)], -2)
signalCondition(e)
}, "Not a graph object", quote(is.bipartite(x)))
2. Error: examples -------------------------------------------------------------
Not a graph object
1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls)
2: eval(code, new_test_environment)
3: eval(expr, envir, enclos)
4: ggnet2(n, size = "degree") at test-ggnet2.R:106
5: sna::degree(net, gmode = is_dir, cmode = ifelse(x == "degree", "freeman", x)) at /Users/barret/Copy/git/R/ggobi_org/ggally/ggally/R/ggnet2.R:484
6: as.edgelist.sna(dat)
7: is.bipartite(x)
8: stop("Not a graph object")
9: .handleSimpleError(function (e)
{
e$calls <- head(sys.calls()[-seq_len(frame + 7)], -2)
signalCondition(e)
}, "Not a graph object", quote(is.bipartite(x)))
Error: Test failures
I then restart R and re-test the package and there are no errors, but a new warning.
Loading required package: devtools
Loading GGally
Loading required package: testthat
gg-plots : ............
ggcorr : .........
gglyph : ............................
ggmatrix_add : ....
ggmatrix_getput : .......
ggmatrix : ....................
ggnet : network: Classes for Relational Data
Version 1.11.2 created on 2014-09-23.
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.
sna: Tools for Social Network Analysis
Version 2.3-2 created on 2014-01-13.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
For citation information, type citation("sna").
Type help(package="sna") to get started.
Attaching package: ‘sna’
The following object is masked from ‘package:network’:
%c%
Attaching package: ‘ggplot2’
The following object is masked from ‘package:GGally’:
rel
.............................................
ggnet2 : ...................................................
ggnetworkmap : Loading required package: igraph
Attaching package: ‘igraph’
The following objects are masked from ‘package:sna’:
%c%, betweenness, bonpow, closeness, degree, dyad.census, evcent,
hierarchy, is.connected, neighborhood, triad.census
The following objects are masked from ‘package:network’:
%c%, %s%, add.edges, add.vertices, delete.edges, delete.vertices,
get.edge.attribute, get.edges, get.vertex.attribute, is.bipartite,
is.directed, list.edge.attributes, list.vertex.attributes,
set.edge.attribute, set.vertex.attribute
Loading required package: maps
Loading required package: geosphere
Loading required package: sp
Loading required package: mapproj
...........................................
ggpairs : .......................................................................
ggparcoord : ........................................Loading required package: scagnostics
Loading required package: rJava
.....................
ggscatmat : ......
ggsurv : Loading required package: survival
Loading required package: splines
...........................
utils : .....
Warning message:
The shape palette can deal with a maximum of 6 discrete values because
more than 6 becomes difficult to discriminate; you have 10. Consider
specifying shapes manually. if you must have them.