baplot: Bland-Altman plot

In uwadaira/plsropt: Automatically perform partial least squares (PLS) regressions under different combinations of X-variable range and preprocessing method.

Usage

baplot(y, yhat, sample = seq(1, length(y), by = 1), nsd = 3, ...)

Arguments

y	actual values
yhat	predicted values
sample	Name of samples
nsd	a numeric value multiplied to the standard deviations. The product is used for determining the limits of agreement.
...	additional arguments passed to the plot.

Value

Bland-Altman plot

Examples

data(peach)
peach.pls <- plsr(Brix ~ NIR, ncomp = 5, data = peach, validation = "CV")
yhat <- peach.pls$fitted.values[, , 5]
baplot(peach$Brix, yhat, sample = rownames(peach), nsd = 3)

uwadaira/plsropt documentation built on May 3, 2019, 2:39 p.m.