File: as.edgelist.R

package info (click to toggle)
r-cran-network 1.19.0-1
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 1,500 kB
  • sloc: ansic: 2,491; sh: 13; makefile: 2
file content (166 lines) | stat: -rw-r--r-- 6,621 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
#  File R/edgelist.R in package network, part of the Statnet suite
#  of packages for network analysis, http://statnet.org .
#
#  This software is distributed under the GPL-3 license.  It is free,
#  open source, and has the attribution requirements (GPL Section 7) at
#  http://statnet.org/attribution
#
#  Copyright 2003-2015 Statnet Commons
#######################################################################

# the edgelist functions have been copied in from ergm

#' @export
as.edgelist <- function(x, ...){
  UseMethod("as.edgelist")
} 


# convert a network into an ergm-style sorted edgelist using
# as.edgelist.matrix and as.matrix.network.edgelist

#' @name as.edgelist
#'
#' @title Convert a network object into a numeric edgelist matrix
#' 
#' @description Constructs an edgelist in a sorted format with defined attributes.
#' 
#' @details Constructs a edgelist matrix or tibble from a network, sorted tails-major
#' order, with tails first, and, for undirected networks, tail < head.  This
#' format is required by some reverse-depending packages (e.g. \code{ergm})
#' 
#' The \code{\link{as.matrix.network.edgelist}} provides similar functionality
#' but it does not enforce ordering or set the \code{edgelist} class and so
#' should be slightly faster.
#' 
#' \code{is.edgelist} tests if an object has the class \code{'edgelist'}
#' 
#' 
#' @aliases edgelist
#' @param x a \code{network} object with additional class added indicating how
#' it should be dispatched.
#' @param output return type: a \code{\link{matrix}} or a \code{\link[tibble]{tibble}};
#' see \code{\link{as.matrix.network}} for the difference.
#' @param attrname optionally, the name of an edge attribute to use for edge
#' values; may be a vector of names if \code{output="tibble"}
#' @param as.sna.edgelist logical; should the edgelist be returned in edgelist
#' form expected by the sna package? Ignored if \code{output="tibble"}
#' @param n integer number of vertices in network, value passed to the 'n' flag
#' on edgelist returned
#' @param vnames vertex names (defaults to vertex ids) to be attached to
#' edgelist for sna package compatibility
#' @param directed logical; is network directed, value passed to the 'directed'
#' flag on edgelist returned
#' @param bipartite logical or integer; is network bipartite, value passed to
#' the 'bipartite' flag on edgelist returned
#' @param loops logical; are self-loops allowed in network?, value passed to
#' the 'loops' flag on edgelist returned
#' @param \dots additional arguments to other methods
#' @return A matrix in which the first two columns are integers giving the tail
#' (source) and head (target) vertex ids of each edge. The matrix will be given
#' the class \code{edgelist}.
#' 
#' The edgelist has additional attributes attached to it: \itemize{ \item
#' \code{attr(,"n")} the number of vertices in the original network
#' 
#' \item \code{attr(,"vnames")} the names of vertices in the original network
#' 
#' \item \code{attr(,"directed")} logical, was the original network directed
#' 
#' \item \code{attr(,"bipartite")} was the original network bipartite
#' 
#' \item \code{attr(,"loops")} does the original network contain self-loops }
#' 
#' Note that if the \code{attrname} attribute is used the resulting edgelist
#' matrix will have three columns.  And if \code{attrname} refers to a
#' character attribute, the resulting edgelist matrix will be character rather
#' than numeric unless \code{output="tibble"}.
#' 
#' @note NOTE: this function was moved to network from the ergm package in
#' network version 1.13
#' @seealso See also \code{\link{as.matrix.network.edgelist}}
#' @examples
#' 
#'    data(emon)
#'    as.edgelist(emon[[1]])
#'    as.edgelist(emon[[1]],output="tibble")
#'    # contrast with unsorted columns of
#'    as.matrix.network.edgelist(emon[[1]])
#'   
#' @export
as.edgelist.network <- function(x, attrname = NULL, as.sna.edgelist = FALSE, output=c("matrix","tibble"), ...){
  output <- match.arg(output)
  switch(output,
         matrix = as.edgelist(as.matrix.network.edgelist(x, attrname=attrname,
                                                         as.sna.edgelist=as.sna.edgelist,...),
                              n=network.size(x),
                              directed=is.directed(x),
                              bipartite=ifelse(is.bipartite(x),x%n%"bipartite",FALSE),
                              loops=has.loops(x),
                              vnames=network.vertex.names(x)),
         tibble = as.edgelist(as_tibble(x, attrnames=attrname,...),
                              n=network.size(x),
                              directed=is.directed(x),
                              bipartite=ifelse(is.bipartite(x),x%n%"bipartite",FALSE),
                              loops=has.loops(x),
                              vnames=network.vertex.names(x))
         )
}

#' @rdname as.edgelist
#' @export as.edgelist.matrix
#' @export
as.edgelist.matrix <- function(x, n, directed=TRUE, bipartite=FALSE, loops=FALSE, vnames=seq_len(n),...){
  tails <- as.integer(x[,1])
  heads <- as.integer(x[,2])
  if(!directed) {
    tails <- pmin(t <- tails, heads)
    heads <- pmax(t, heads)
  }
  keep <- rep(TRUE, length(tails))
  if(!loops) {
    keep <- keep & (tails != heads)
  }
  if(bipartite) {
    keep <- keep & ((tails <= bipartite) != (heads <= bipartite))
  }
  x <- x[keep,,drop=FALSE]
  tails <- tails[keep]
  heads <- heads[keep]
  x[,1:2] <- cbind(tails, heads)
  x <- unique(x[order(tails, heads),,drop=FALSE])
  attr(x,"n") <- as.integer(n)
  attr(x,"vnames")<- vnames
  attr(x,"directed") <- as.logical(directed)
  attr(x,"bipartite") <- if(is.numeric(bipartite)) as.integer(bipartite) else bipartite
  attr(x,"loops") <- as.logical(loops)
  class(x)<-c('matrix_edgelist','edgelist',class(x))
  x
}

#' @rdname as.edgelist
#' @export
as.edgelist.tbl_df <- function(x, n, directed=TRUE, bipartite=FALSE, loops=FALSE, vnames=seq_len(n),...){
  if(!directed){
    x$.tail <- pmin(t <- x$.tail, x$.head)
    x$.head <- pmax(t, x$.head) # .tail has been clobbered.
  }
  if(!loops) x <- x[x$.tail!=x$.head,]
  if(bipartite) x <- x[(x$.tail<=bipartite)!=(x$.head<=bipartite),]
  x <- unique(x[order(x$.tail, x$.head),])
  attr(x,"n") <- as.integer(n)
  attr(x,"vnames")<- vnames
  attr(x,"directed") <- as.logical(directed)
  attr(x,"bipartite") <- if(is.numeric(bipartite)) as.integer(bipartite) else bipartite
  attr(x,"loops") <- as.logical(loops)
  class(x)<-c('tibble_edgelist','edgelist',class(x))
  x
}

#' @rdname as.edgelist
#' @export is.edgelist
is.edgelist<-function(x){
  inherits(x,"edgelist")
}