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
|
# IGraph R package
# Copyright (C) 2005-2012 Gabor Csardi <csardi.gabor@gmail.com>
# 334 Harvard street, Cambridge, MA 02139 USA
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
# 02110-1301 USA
#
###################################################################
running.mean <- function(v, binwidth) {
v <- as.numeric(v)
binwidth <- as.numeric(binwidth)
if (length(v) < binwidth) {
stop("Vector too short for this binwidth.")
}
on.exit( .Call("R_igraph_finalizer", PACKAGE="igraph") )
.Call("R_igraph_running_mean", v, binwidth,
PACKAGE="igraph");
}
igraph.sample <- function(low, high, length) {
if (length>high-low+1) {
stop("length too big for this interval")
}
on.exit( .Call("R_igraph_finalizer", PACKAGE="igraph") )
.Call("R_igraph_random_sample", as.numeric(low), as.numeric(high),
as.numeric(length),
PACKAGE="igraph")
}
igraph.match.arg <- function(arg, choices, several.ok=FALSE) {
if (missing(choices)) {
formal.args <- formals(sys.function(sys.parent()))
choices <- eval(formal.args[[deparse(substitute(arg))]])
}
arg <- tolower(arg)
choices <- tolower(choices)
match.arg(arg=arg, choices=choices, several.ok=several.ok)
}
igraph.i.spMatrix <- function(M) {
if (M$type == "triplet") {
Matrix::sparseMatrix(dims=M$dim, i=M$i+1L, j=M$p+1L, x=M$x)
} else {
new("dgCMatrix", Dim=M$dim, Dimnames=list(NULL, NULL),
factors=list(), i=M$i, p=M$p, x=M$x)
}
}
srand <- function(seed) {
seed <- as.numeric(seed)
if (length(seed) != 1) { stop("Length of `seed' must be 1") }
if (seed < 0) { stop("Seed must be non-negative") }
res <- .Call("R_igraph_srand", seed, PACKAGE="igraph")
invisible(res)
}
|
