Information Technology Reference
In-Depth Information
C
j
C′
j
R
i
c
j
c
j
r
i
θ
ij
O
C
j
Figure
10.12
A
90
degree
rotation
of
C
j
to
ensures
that
r
i
c
j
cos
(θ
ij
)
=
1
2
r
i
c
j
sin
(θ
ij
+
π)
.
π)
. The latter is twice the area of the triangle OR
i
C
j
so
giving an area interpretation to inner products, for which the hedron geometry described
above for representing skew-symmetry applies. If necessary, further pairs of dimensions
may be added, taking care to ensure that all diagrams are on the same scale - a process
termed linking diagrams that is an extension to ensuring the correct aspect ratio in a
single map. See Gower
et al.
(2010) for further details and some examples.
1
2
r
i
c
j
cos
(θ
ij
)
=
r
i
c
j
sin
(θ
ij
+
10.5 Functions for constructing monoplots
We provide the following R functions for constructing the monoplots discussed
in Sections 10.2 and 10.3:
MonoPlot.cov
,
MonoPlot.cor
,
MonoPlot.cor2
,
MonoPlot.coefvar
and
MonoPlot.skew
.
10.5.1 Function
MonoPlot.cov
This is a function for constructing the covariance monoplot defined in Section 10.2.1.
Arguments
Data matrix of size
n
×
p
.
X
If TRUE a simple form of a correlation monoplot is
constructed. Defaults to FALSE.
scaled.mat
If TRUE the points are represented as axes. Defaults to
FALSE.
as.axes
Colour of an axis if
as.axes
is TRUE.
axis.col
Colour of name of an axis if
as.axes
is TRUE.
ax.name.col
