R: Functions for loading and writing Pajek files

loadmatrix {blockmodeling}

R Documentation

Functions for loading and writing Pajek files

Description

loadmatrix - Loads a Pajek ".mat" filename as a matrix.

Functions for reading/loading and writing Pajek files:

loadnetwork - Loads a Pajek ".net" filename as a matrix. For now, only simple one and two-mode networks are supported (eg. only single relations, no time information).

loadnetwork2 - The same as above, but adapted to be called within loadpajek.

loadnetwork3 - Another version for reading networks.

loadnetwork4 - Another version for reading networks.

loadpajek - Loads a Pajek project file name (".paj") as a list with the following components: Networks, Partitions, Vectors and Clusters. Clusters and hierarchies are dismissed.

loadvector - Loads a Pajek ".clu" filename as a vector.

loadvector2 - The same as above, but adapted to be called within loadpajek - as a consequence not suited for reading clusters.

savematrix - Saves a matrix into a Pajek ".mat" filename.

savenetwork - Saves a matrix into a Pajek ".net" filename.

savevector - Saves a vector into a Pajek ".clu" filename.

Usage

loadmatrix(filename)

loadnetwork(filename, useSparseMatrix = NULL, minN = 50)

loadnetwork2(
  filename,
  useSparseMatrix = NULL,
  minN = 50,
  safe = TRUE,
  closeFile = TRUE
)

loadnetwork3(filename, useSparseMatrix = NULL, minN = 50)

loadnetwork4(filename, useSparseMatrix = NULL, minN = 50, fill = FALSE)

loadpajek(filename)

loadvector(filename)

loadvector2(filename)

savematrix(n, filename, twomode = 1)

savenetwork(n, filename, twomode = "default", symetric = NULL)

savevector(v, filename)

Arguments

`filename`	The name of the file to be loaded or saved to or an open file object.
`useSparseMatrix`	Should a sparse matrix be use instead of the ordinary one? Sparse matrices can only be used if package Matrix is installed. The default `NULL` uses sparse matrices for networks with more that `minN` vertices.
`minN`	The minimal number of units in the network to use sparse matrices.
`safe`	If `FALSE` error will occur if not all vertices have labels. If `TRUE` reading works faster.
`closeFile`	Should the connection be closed at the end. Should be always `TRUE` if function is used directly.
`fill`	If `TRUE`, then in case the rows have unequal length, blank fields are added.
`n`	A matrix representing the network.
`twomode`	1 for one-mode networks and 2 for two-mode networks. Default sets the argument to 1 for square matrices and to 2 for others.
`symetric`	If `TRUE`, only the lower part of the matrix is used and the values are interpreted as "Edges", not "Arcs".
`v`	A vector.

Value

NULL, a matrix or a vector.

Author(s)

Vladimir Batagelj & Andrej Mrvar (most functions), Aleš Žiberna (loadnetwork, loadpajek and modification of others)

References

Batagelj, V., & Mrvar. A. (1999). Pajek - Program for Large Network Analysis. Retrieved from http://vlado.fmf.uni-lj.si/pub/networks/pajek/.

de Nooy, W., Mrvar, A., & Batagelj. V. (2005). Exploratory Social Network Analysis with Pajek. London: SAGE Publications.