anova.lmcal: ANOVA tests for calibration models

In quantchem: Quantitative chemical analysis: calibration and evaluation of results

Description

This function performs ANOVA tests between fitted calibration models.

Usage

## S3 method for class 'lmcal'
anova(object, ...)
## S3 method for class 'nlscal'
anova(object, ...)

Arguments

object	an object of class 'lmcal' or 'nlscal'
...	additional arguments (ignored)

Details

For 'lmcal' models this function performs four tests: two ANOVAs between linear and quadratic model, without and with log-log transform (first is mentioned in literature as Mandel's fitting test), and two ANOVAs comparing four polynomial models, weighted and unweighted.

For 'nlscal' models two ANOVAs are performed - between asymptotic models without and with intercept term, and between three and four parameter logistic models.

Value

A list of 'anova' objects:

mandel	The test between linear and quadratic fit
logmandel	The same test, between two log-log models
table	The test between linear, quadratic, cubical and 4th order models without weighting
wtable	The test between linear, quadratic, cubical and 4th order models with weighting

Note

The result is printed in readable form, and returned via invisible().

Author(s)

Lukasz Komsta

See Also

lmcal, nlscal

Examples

data(nitrate)
attach(nitrate)
fit = lmcal(conc,area)
anova(fit)
fit2 = nlscal(conc,area)
anova(fit2)

quantchem documentation built on May 30, 2017, 5:28 a.m.