Expected Scores for the General Model

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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)