# Generalized and Classical Blockmodeling of Valued Networks

## Documentation for package ‘blockmodeling’ version 1.1.5

- DESCRIPTION file.

## Help Pages

blockmodeling-package | An R package for Generalized and classical blockmodeling of valued networks
ad | Sum of Squared deviations from the mean and sum of Absolute Deviations from the median
baker | Citation data between social work journals for the 1985-86 period
blockmodeling | An R package for Generalized and classical blockmodeling of valued networks
canClu | Create canonical partition and find unique canonical partitions in a list of partitions.
canCluUniqe | Create canonical partition and find unique canonical partitions in a list of partitions.
clu | Function for extraction of some elements for objects, returend by functions for Generalized blockmodeling
crand | Comparing partitions on one or multiple sets of units
crand2 | Comparing partitions on one or multiple sets of units
critFunC | Functions for Generalized blockmodeling for valued networks
EM | Function for extraction of some elements for objects, returend by functions for Generalized blockmodeling
err | Function for extraction of some elements for objects, returend by functions for Generalized blockmodeling
expandMat | Expands a square matrix by repeating each row/column the specified number of times.
find.cut | Computing the threshold
find.m | Computing the threshold
find.m2 | Computing the threshold
formatA | A formating function for numbers
fun.by.blocks | Computation of function values by blocks
funByBlocks | Computation of function values by blocks
funByBlocks.default | Computation of function values by blocks
funByBlocks.opt.more.par | Computation of function values by blocks
funByBlocks.optMorePar | Computation of function values by blocks
genMatrixMult | Generalized matrix multiplication
genRandomPar | The function for generating random partitions
gplot1 | A wrapper for function gplot - Two-Dimensional Visualization of Graphs
gplot2 | A wrapper for function gplot - Two-Dimensional Visualization of Graphs
IM | Function for extraction of some elements for objects, returend by functions for Generalized blockmodeling
ircNorm | Function for iterated row and column normalization of valued matrices
loadmatrix | Functions for loading and writing Pajek files
loadnetwork | Functions for loading and writing Pajek files
loadnetwork2 | Functions for loading and writing Pajek files
loadnetwork3 | Functions for loading and writing Pajek files
loadnetwork4 | Functions for loading and writing Pajek files
loadpajek | Functions for loading and writing Pajek files
loadvector | Functions for loading and writing Pajek files
loadvector2 | Functions for loading and writing Pajek files
nanRep | Replaces NaN values by the speficied values (0 by default)
nkpar | Functions for listing all possible partitions or just counting the number of them
nkpartitions | Functions for listing all possible partitions or just counting the number of them
notesBorrowing | The notes borrowing network between social-informatics students
one2two | Two-mode network conversions
optParC | Functions for Generalized blockmodeling for valued networks
optRandomParC | Optimizing a set of partitions based on the value of a criterion function
orderClu | Orders the partition so that mean values of 'fun' applied to columns (if 'funWay=2', default), rows (if 'funWay=1') or both (if 'funWay=c(1,2)') is decreasing by clusters.
Pajek | Functions for loading and writing Pajek files
partitions | Function for extraction of some elements for objects, returend by functions for Generalized blockmodeling
plot.crit.fun | Functions for plotting a partitioned matrix (representing the network)
plot.critFun | Functions for plotting a partitioned matrix (representing the network)
plot.mat | Functions for plotting a partitioned matrix (representing the network)
plot.opt.more.par | Functions for plotting a partitioned matrix (representing the network)
plot.opt.more.par.mode | Functions for plotting a partitioned matrix (representing the network)
plot.opt.par | Functions for plotting a partitioned matrix (representing the network)
plot.opt.par.mode | Functions for plotting a partitioned matrix (representing the network)
plot.optMorePar | Functions for plotting a partitioned matrix (representing the network)
plot.optMoreParMode | Functions for plotting a partitioned matrix (representing the network)
plot.optPar | Functions for plotting a partitioned matrix (representing the network)
plot.optParMode | Functions for plotting a partitioned matrix (representing the network)
plotArray | Functions for plotting a partitioned matrix (representing the network)
plotMat | Functions for plotting a partitioned matrix (representing the network)
plotMatNm | Functions for plotting a partitioned matrix (representing the network)
print.optMorePar | Optimizing a set of partitions based on the value of a criterion function
printBlocks | Nice printing of the 'blocks' parameter as used in 'optRandomParC' and 'critFunC'.
rand | Comparing partitions on one or multiple sets of units
rand2 | Comparing partitions on one or multiple sets of units
recode | Recode
REGD.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGD.ne.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGD.ow.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGD.ow.ne.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGE | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGE.FC | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGE.FC.ow | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGE.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGE.ne.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGE.nm.diag.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGE.nm.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGE.nm.ne.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGE.ow | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGE.ow.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGE.ow.ne.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGE.ownm.diag.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGE.ownm.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
REGE.ownm.ne.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece
relInv | Functions for computing "relative inverse" ('x[1]/x').
relInv2 | Functions for computing "relative inverse" ('x[1]/x').
reorderImage | Reordering an image matrix of the blockmodel (or an error matrix based on new and old partition
RF | Calculate the value of the Relative Fit function
savematrix | Functions for loading and writing Pajek files
savenetwork | Functions for loading and writing Pajek files
savevector | Functions for loading and writing Pajek files
sedist | Computes distances in terms of Structural equivalence (Lorrain & White, 1971)
splitClu | Functions creating a list of partitions based on a single partition and information on the number of units in each set.
splitCluRes | Functions creating a list of partitions based on a single partition and information on the number of units in each set.
ss | Sum of Squared deviations from the mean and sum of Absolute Deviations from the median
ssNa | Sum of Squared deviations from the mean and sum of Absolute Deviations from the median
two2one | Two-mode network conversions
unlistClu | Function for "unlisting" a partition.
unlistCluInt | Unlist a partition.