plot.critFun {blockmodeling}  R Documentation 
The main function plot.mat
or plotMat
plots a (optionally partitioned) matrix.
If the matrix is partitioned, the rows and columns of the matrix are rearranged according to the partitions.
Other functions are only wrappers for plot.mat
or plotMat
for convenience when plotting the results of the corresponding functions.
The plotMatNm
plots two matrices based on M, normalized by rows and columns, next to each other. The plotArray
plots an array. plot.mat.nm
has been replaced by plotMatNm
.
## S3 method for class 'critFun'
plot(x, main = NULL, ...)
## S3 method for class 'crit.fun'
plot(x, main = NULL, ...)
plotMatNm(
M = x,
x = M,
...,
main.title = NULL,
title.row = "Row normalized",
title.col = "Column normalized",
main.title.line = 2,
par.set = list(mfrow = c(1, 2))
)
## S3 method for class 'optMorePar'
plot(x, main = NULL, which = 1, ...)
## S3 method for class 'opt.more.par'
plot(x, main = NULL, which = 1, ...)
## S3 method for class 'optMoreParMode'
plot(x, main = NULL, which = 1, ...)
## S3 method for class 'opt.more.par.mode'
plot(x, main = NULL, which = 1, ...)
## S3 method for class 'optPar'
plot(x, main = NULL, which = 1, ...)
## S3 method for class 'opt.par'
plot(x, main = NULL, which = 1, ...)
## S3 method for class 'optParMode'
plot(x, main = NULL, which = 1, ...)
## S3 method for class 'opt.par.mode'
plot(x, main = NULL, which = 1, ...)
plotMat(
x = M,
clu = NULL,
orderClu = FALSE,
M = x,
ylab = "",
xlab = "",
main = NULL,
print.val = !length(table(M)) <= 2,
print.0 = FALSE,
plot.legend = !print.val && !length(table(M)) <= 2,
print.legend.val = "out",
print.digits.legend = 2,
print.digits.cells = 2,
print.cells.mf = NULL,
outer.title = FALSE,
title.line = ifelse(outer.title, 1.5, 7),
mar = c(0.5, 7, 8.5, 0) + 0.1,
cex.val = "default",
val.y.coor.cor = 0,
val.x.coor.cor = 0,
cex.legend = 1,
legend.title = "Legend",
cex.axes = "default",
print.axes.val = NULL,
print.x.axis.val = !is.null(colnames(M)),
print.y.axis.val = !is.null(rownames(M)),
x.axis.val.pos = 1.01,
y.axis.val.pos = 0.01,
cex.main = par()$cex.main,
cex.lab = par()$cex.lab,
yaxis.line = 1.5,
xaxis.line = 1,
legend.left = 0.4,
legend.up = 0.03,
legend.size = 1/min(dim(M)),
legend.text.hor.pos = 0.5,
par.line.width = 3,
par.line.width.newSet = par.line.width[1] * 2,
par.line.col = "blue",
par.line.col.newSet = "red",
IM.dens = NULL,
IM = NULL,
wnet = NULL,
wIM = NULL,
use.IM = length(dim(IM)) == length(dim(M))  !is.null(wIM),
dens.leg = c(null = 100, nul = 100),
blackdens = 70,
plotLines = FALSE,
frameMatrix = TRUE,
x0ParLine = 0.1,
x1ParLine = 1,
y0ParLine = 0,
y1ParLine = 1.1,
colByUnits = NULL,
colByRow = NULL,
colByCol = NULL,
mulCol = 2,
joinColOperator = "+",
colTies = FALSE,
maxValPlot = NULL,
printMultipliedMessage = TRUE,
replaceNAdiagWith0 = TRUE,
colLabels = FALSE,
MplotValues = NULL,
...
)
plotArray(
x = M,
M = x,
IM = NULL,
...,
main.title = NULL,
main.title.line = 2,
mfrow = NULL
)
## S3 method for class 'mat'
plot(
x = M,
clu = NULL,
orderClu = FALSE,
M = x,
ylab = "",
xlab = "",
main = NULL,
print.val = !length(table(M)) <= 2,
print.0 = FALSE,
plot.legend = !print.val && !length(table(M)) <= 2,
print.legend.val = "out",
print.digits.legend = 2,
print.digits.cells = 2,
print.cells.mf = NULL,
outer.title = FALSE,
title.line = ifelse(outer.title, 1.5, 7),
mar = c(0.5, 7, 8.5, 0) + 0.1,
cex.val = "default",
val.y.coor.cor = 0,
val.x.coor.cor = 0,
cex.legend = 1,
legend.title = "Legend",
cex.axes = "default",
print.axes.val = NULL,
print.x.axis.val = !is.null(colnames(M)),
print.y.axis.val = !is.null(rownames(M)),
x.axis.val.pos = 1.01,
y.axis.val.pos = 0.01,
cex.main = par()$cex.main,
cex.lab = par()$cex.lab,
yaxis.line = 1.5,
xaxis.line = 1,
legend.left = 0.4,
legend.up = 0.03,
legend.size = 1/min(dim(M)),
legend.text.hor.pos = 0.5,
par.line.width = 3,
par.line.width.newSet = par.line.width[1] * 2,
par.line.col = "blue",
par.line.col.newSet = "red",
IM.dens = NULL,
IM = NULL,
wnet = NULL,
wIM = NULL,
use.IM = length(dim(IM)) == length(dim(M))  !is.null(wIM),
dens.leg = c(null = 100, nul = 100),
blackdens = 70,
plotLines = FALSE,
frameMatrix = TRUE,
x0ParLine = 0.1,
x1ParLine = 1,
y0ParLine = 0,
y1ParLine = 1.1,
colByUnits = NULL,
colByRow = NULL,
colByCol = NULL,
mulCol = 2,
joinColOperator = "+",
colTies = FALSE,
maxValPlot = NULL,
printMultipliedMessage = TRUE,
replaceNAdiagWith0 = TRUE,
colLabels = FALSE,
MplotValues = NULL,
...
)
x 
A result from a corresponding function or a matrix or similar object representing a network. 
main 
Main title. 
... 
Additional arguments to 
M 
A matrix or similar object representing a network  either 
main.title 
Main title in 
title.row 
Title for the rownormalized matrix in nm version 
title.col 
Title for the columnnormalized matrix in nm version 
main.title.line 
The line in which main title is printed in 
par.set 
A list of possible plotting parameters (to 
which 
Which (if there are more than one) of optimal solutions to plot. 
clu 
A partition. Each unique value represents one cluster. If the network is onemode, then this should be a vector, else a list of vectors, one for each mode/set. 
orderClu 
Should the partition be ordered before plotting. 
ylab 
Label for y axis. 
xlab 
Label for x axis. 
print.val 
Should the values be printed in the matrix. 
print.0 
If 
plot.legend 
Should the legend for shades be plotted. 
print.legend.val 
Should the values be printed in the legend. 
print.digits.legend 
The number of digits that should appear in the legend. 
print.digits.cells 
The number of digits that should appear in the cells (of the matrix and/or legend). 
print.cells.mf 
If not 
outer.title 
Should the title be printed on the 'inner' or 'outer' margin of the plot, default is 'inner' margin. 
title.line 
The line (from the top) where the title should be printed. The suitable values depend heavily on the displayed type. 
mar 
A numerical vector of the form 
cex.val 
The size of the values printed. The default is 
val.y.coor.cor 
Correction for centering the values in the squares in y direction. 
val.x.coor.cor 
Correction for centering the values in the squares in x direction. 
cex.legend 
Size of the text in the legend. 
legend.title 
The title of the legend. 
cex.axes 
Size of the characters in axes. Default makes the cex so small that all categories can be printed. 
print.axes.val 
Should the axes values be printed. Default prints each axis if 
print.x.axis.val 
Should the x axis values be printed. Default prints each axis if 
print.y.axis.val 
Should the y axis values be printed. Default prints each axis if 
x.axis.val.pos 
The x coordinate of the y axis values. 
y.axis.val.pos 
The y coordinate of the x axis values. 
cex.main 
Size of the text in the main title. 
cex.lab 
Size of the text in matrix. 
yaxis.line 
The position of the y axis (the argument 'line'). 
xaxis.line 
The position of the x axis (the argument 'line'). 
legend.left 
How much left should the legend be from the matrix. 
legend.up 
How much up should the legend be from the matrix. 
legend.size 
Relative legend size. 
legend.text.hor.pos 
Horizontal position of the legend text (bottom)  0 = bottom, 0.5 = middle,... 
par.line.width 
The width of the line that separates the partitions. 
par.line.width.newSet 
The width of the line that separates that separates the sets/modes  only used when 
par.line.col 
The color of the line that separates the partitions. 
par.line.col.newSet 
The color of the line that separates that separates the sets/modes  only used when 
IM.dens 
The density of shading lines in each block. 
IM 
The image (as obtained with 
wnet 
Specifies which matrix (if more) should be plotted  used if 
wIM 
Specifies which 
use.IM 
Specifies if 
dens.leg 
It is used to translate the 
blackdens 
At which density should the values on dark colors of lines be printed in white. 
plotLines 
Should the lines in the matrix be printed. The default value is set to 
frameMatrix 
Should the matrix be framed (if 
x0ParLine 
Coordinates for lines separating clusters. 
x1ParLine 
Coordinates for lines separating clusters. 
y0ParLine 
Coordinates for lines separating clusters. 
y1ParLine 
Coordinates for lines separating clusters. 
colByUnits 
Coloring units. It should be a vector of unit length. 
colByRow 
Coloring units by rows. It should be a vector of unit length. 
colByCol 
Coloring units by columns. It should be a vector of unit length. 
mulCol 
Multiply color when joining with row, column. Only used when when 
joinColOperator 
Function to join 
colTies 
If 
maxValPlot 
The value to use as a maximum when computing colors (ties with maximal positive value are plotted as black). 
printMultipliedMessage 
Should the message '* all values in cells were multiplied by' be printed on the plot. The default value is set to 
replaceNAdiagWith0 
If 
colLabels 
Should the labels of units be colored. If 
MplotValues 
A matrix to strings to plot in cells. Only to be used if other values than those in the original matrix ( 
mfrow 

The functions are used for their side effect  plotting.
Aleš Žiberna
Žiberna, A. (2007). Generalized Blockmodeling of Valued Networks. Social Networks, 29(1), 105126. doi: 10.1016/j.socnet.2006.04.002
Žiberna, A. (2008). Direct and indirect approaches to blockmodeling of valued networks in terms of regular equivalence. Journal of Mathematical Sociology, 32(1), 5784. doi: 10.1080/00222500701790207
# Generation of the network
n < 20
net < matrix(NA, ncol = n, nrow = n)
clu < rep(1:2, times = c(5, 15))
tclu < table(clu)
net[clu == 1, clu == 1] < rnorm(n = tclu[1] * tclu[1], mean = 0, sd = 1)
net[clu == 1, clu == 2] < rnorm(n = tclu[1] * tclu[2], mean = 4, sd = 1)
net[clu == 2, clu == 1] < rnorm(n = tclu[2] * tclu[1], mean = 0, sd = 1)
net[clu == 2, clu == 2] < rnorm(n = tclu[2] * tclu[2], mean = 0, sd = 1)
# Ploting the network
plotMat(M = net, clu = clu, print.digits.cells = 3)
class(net) < "mat"
plot(net, clu = clu)
# See corresponding functions for examples for other ploting
# functions
# presented, that are essentially only the wrappers for "plot.max"