Hello R-list,
I am preforming an lda on the following data.
Curvature Diameter Quality
1 2.95 6.63 Passed
2 2.53 7.79 Passed
3 3.57 5.65 Passed
4 3.16 5.47 Passed
5 2.58 4.46 NotPassed
6 2.16 6.22 NotPassed
7 3.27 3.52 NotPassed
I use lda:
> ddd<-lda(Quality~ Curvature+Diameter, data=momo)
> ddd
Call:
lda(Quality ~ Curvature + Diameter, data = momo)
Prior probabilities of groups:
NotPassed Passed
0.5 0.5
Group means:
Curvature Diameter
NotPassed 2.633333 5.383333
Passed 3.016667 6.690000
AND
lda$scaling: gives me
LD1
Curvature 2.372923
Diameter 1.368995
My question is, I would like to calculate the % influence that 1 factor has
vs the other meaning does 1 factor have 0.6 influence and the other have
0.4?
TIA
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