qpcR (version 1.3-2)

pcrGOF: Summarize measures for the goodness-of-fit

Description

Calculates all implemented measures for the goodness-of-fit and returns them as a list. Works for objects of class pcrfit, lm, glm, nls, drc and many others...

Usage

pcrGOF(object, PRESS = FALSE, ...)

Arguments

object

a fitted object.

PRESS

logical. If TRUE, the more calculation intensive P-square is also returned.

...

other parameters to be passed to fitchisq.

Value

• A list with the following components:
• Rsq
  the R-squared value.
• Rsq.ad
  the adjusted R-squared value.
• AIC
  the Akaike Information Criterion.
• AICc
  the bias-corrected Akaike Information Criterion.
• BIC
  the Bayesian Information Criteron.
• resVar
  the residual variance.
• RMSE
  the root-mean-squared-error.
• p.neill
  the p-value from Neill's Lack-of-fit test without replicates. See neill.test.
• P.square
  the PRESS P-square, if PRESS = TRUE.

Examples

m <- pcrfit(reps, 1, 2, l5)
pcrGOF(m, PRESS = TRUE)