qdb.p.correct: the proportion correct of the quadratic decision boundary.
In matsukik/grt: General Recognition Theory

Description Usage Arguments Details Author(s) References Examples

Calculate the proportion correct obtained by categorizing samples form one multivariate normal population using the quadratic decision boundary.

1	qdb.p.correct(x, qdb, refpts = colMeans(x))

`x`	a vector or matrix containing the values of samples from one multivariate normal population.
`qdb`	object of class `gqcStruct` or a vector containing the values for `coeffs` and `bias` of an quadratic decision bound.
`refpts`	a numeric vector used as a reference point to determine the correct side of the `qdb` for classifying `x`. The `length(refpts)` should be equal to ncol(x). Default to `colMeans(x)`.

The function assumes that all the points specified in x belong to just one category.

Author of the original Matlab routine ‘quadbndpercorr’: Leola Alfonso-Reese

Author of R adaptation: Kazunaga Matsuki

Alfonso-Reese, L. A. (2006) General recognition theory of categorization: A MATLAB toolbox. Behavior Research Methods, 38, 579-583.

data(subjdemo_2d)
tmp <- split(subjdemo_2d, subjdemo_2d$category)
mc <- mcovs(category ~ x + y, data=subjdemo_2d, pooled=FALSE)
db <- qdb(mc$means, mc$covs)
qdb.p.correct(tmp[[1]][,2:3], db)