Expected Scores for the General Model

Description

Computes the expected score as the aiming location varies across the board, using the specified covariance matrix and the general model for dart throws.

Usage

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Arguments

Sig

The covariance matrix.

Value

e

The matrix of expected scores.

Author(s)

Ryan Tibshirani

Examples

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# Generate the matrix of expected scores if my covariance is
# Sig=c(15^2,30^2,0), in the general model. This will take a
# couple of seconds. 
e = generalExpScores(Sig=(c(15^2,30^2,0)))

# Draw a heatmap!
drawHeatmap(e)

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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