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. |