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Ch10 Ex7 #105

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actuarialcat opened this issue Apr 26, 2020 · 0 comments

actuarialcat commented Apr 26, 2020 •

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The question require us to scale each observation to have mean 0 and SD 1, not each predictor, in order to produce the desire proportionality.

Suggested answer:

data(USArrests)

scale_data = scale(t(USArrests))

correalation = cor(scale_data)
corr.1.minus.r = 1 - as.dist(correalation)

distance.squared = dist(t(scale_data), method = "euclidean") ^ 2

summary(corr.1.minus.r/distance.squared)

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