finch: Co-location of Darwin's finches as a bipartite graph

Description Usage Details References Examples

Description

Data on co-location of finches noted during Charles Darwin's visit to the Galapagos Islands.

Usage

1

Details

Charles Darwin compiled these data for thirteen finch species on a visit to the Galapagos Islands. For each finch type, he recorded on which of seventeen islands that finch could be found. Sanderson (2000) argues that, in examining island biogeography, it is important to condition on the number of islands and species in order to sample from the appropriate null space, so graphs sampled from the null distribution of the observed graph should have the same marginals. Chen et al. (2005) report the number of graphs matching the marginal constraints of Darwin's finch data to be 67,149,106,137,567,626.

References

Chen, Yuguo, Persi Diaconis, Susan P. Holmes, and Jun S. Liu (2005). Sequential Monte Carlo methods for statistical analysis of tables. Journal of the American Statistical Association, 100, 109-120.

Sanderson, James G. (2000). Testing Ecological Patterns, American Scientist, 88, 332-339.

Examples

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data(finch)

# Plot the network
plot(finch)

# Network summary
summary(finch)	

Example output

Loading required package: network
network: Classes for Relational Data
Version 1.15 created on 2019-04-01.
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.

networksis: Simulate Bipartite Graphs with Fixed Marginals Through
Sequential Importance Sampling
Version 2.1-3 created on 2015-04-07.
copyright (c) 2008, Ryan Admiraal, Murdoch University
 Based on "statnet" project software (statnet.org).
 For license and citation information see statnet.org/attribution
 For citation information, type citation("networksis").
 Type help("networksis-package") to get started.

Network attributes:
  vertices = 30
  directed = FALSE
  hyper = FALSE
  loops = FALSE
  multiple = FALSE
  bipartite = 13
 total edges = 122 
   missing edges = 0 
   non-missing edges = 122 
 density = 0.2804598 

Vertex attributes:
  vertex.names:
   character valued attribute
   30 valid vertex names

No edge attributes

Network edgelist matrix:
       [,1] [,2]
  [1,]   16    1
  [2,]   17    1
  [3,]   18    1
  [4,]   19    1
  [5,]   20    1
  [6,]   21    1
  [7,]   22    1
  [8,]   23    1
  [9,]   25    1
 [10,]   26    1
 [11,]   27    1
 [12,]   28    1
 [13,]   29    1
 [14,]   30    1
 [15,]   14    2
 [16,]   15    2
 [17,]   16    2
 [18,]   17    2
 [19,]   18    2
 [20,]   19    2
 [21,]   20    2
 [22,]   21    2
 [23,]   22    2
 [24,]   23    2
 [25,]   25    2
 [26,]   27    2
 [27,]   28    2
 [28,]   14    3
 [29,]   15    3
 [30,]   16    3
 [31,]   17    3
 [32,]   18    3
 [33,]   19    3
 [34,]   20    3
 [35,]   21    3
 [36,]   22    3
 [37,]   23    3
 [38,]   24    3
 [39,]   25    3
 [40,]   27    3
 [41,]   28    3
 [42,]   16    4
 [43,]   17    4
 [44,]   18    4
 [45,]   21    4
 [46,]   23    4
 [47,]   25    4
 [48,]   26    4
 [49,]   28    4
 [50,]   29    4
 [51,]   30    4
 [52,]   14    5
 [53,]   15    5
 [54,]   16    5
 [55,]   18    5
 [56,]   19    5
 [57,]   20    5
 [58,]   21    5
 [59,]   22    5
 [60,]   23    5
 [61,]   25    5
 [62,]   27    5
 [63,]   28    5
 [64,]   24    6
 [65,]   26    6
 [66,]   16    7
 [67,]   17    7
 [68,]   18    7
 [69,]   19    7
 [70,]   20    7
 [71,]   21    7
 [72,]   22    7
 [73,]   25    7
 [74,]   27    7
 [75,]   28    7
 [76,]   25    8
 [77,]   16    9
 [78,]   17    9
 [79,]   18    9
 [80,]   19    9
 [81,]   20    9
 [82,]   21    9
 [83,]   22    9
 [84,]   23    9
 [85,]   25    9
 [86,]   28    9
 [87,]   16   10
 [88,]   17   10
 [89,]   18   10
 [90,]   19   10
 [91,]   20   10
 [92,]   21   10
 [93,]   22   10
 [94,]   23   10
 [95,]   25   10
 [96,]   27   10
 [97,]   28   10
 [98,]   16   11
 [99,]   17   11
[100,]   18   11
[101,]   20   11
[102,]   21   11
[103,]   23   11
[104,]   16   12
[105,]   17   12
[106,]   14   13
[107,]   15   13
[108,]   16   13
[109,]   17   13
[110,]   18   13
[111,]   19   13
[112,]   20   13
[113,]   21   13
[114,]   22   13
[115,]   23   13
[116,]   24   13
[117,]   25   13
[118,]   26   13
[119,]   27   13
[120,]   28   13
[121,]   29   13
[122,]   30   13

networksis documentation built on May 2, 2019, 8:23 a.m.