Information Technology Reference
In-Depth Information
SE (0.07)
IRD (0.06)
3
14
16
4
5
1
2
15
10
17
12
18
7
8
1
1
19
13
EDM (1.00)
20
Ideal point
6
EDSA (0.05)
CM (0.99)
MM (0.05)
ALCO (0.11)
EDM (0.10)
IRD (0.28)
0
SE (0.73)
Ideal point
16
1
4
10
14
MM (0.89)
5
9
11
15
19
7
3
8
1
2
13
17
18
20
2
ALCO (0.72)
6
CM (0.67) EDSA (0.24)
Figure 3.29
PCA biplot of the risk management data with an ideal point interpolated.
(Top) Unscaled data as in Figure 3.1. (Bottom) Data normalized to unit variances. Anno-
tation obtained with function calls
draw.arrow(angle = 15, length = 0.15)
and
draw.text(1,"Ideal point", xpd = NA)
. Axis predictivities are added in brackets
after the axis labels.
