quantchem (version 0.12-1)

summary.lmcal, summary.nlscal: Summarizing fitted calibration curves

Description

A 'summary' class for 'lmcal' and 'nlscal' objects.

Usage

summary.lmcal(object, sort.models = FALSE, ...)
summary.nlscal(object, sort.models = FALSE, ...)

Arguments

object

an object of class 'lmcal' or 'nlscal'

sort.models

should the tables be sorted by models (TRUE) or variables (FALSE).

...

additional arguments, currently ignored.

Value

• A list, consisting of following items:
• coefficients
  Estimated coefficients, their standard error, significance (t) and p-value
• residuals
  Quantiles of residuals and Shapiro-Wilk test of their normality
• variances
  Quantiles of variances (without transform, with log-log, and with Box-Cox on y) ond Bartlett test for therir heteroscedascity. Calculated only, if there are at least 2 replicates for each x
• fit
  R-squared, adjusted R-squared, AIC, residual standard error, sum of squared residuals, sum of pure error and Lack-of-Fit ANOVA test
• sensitivity
  sensitivity, limit of detection and quantitation, autocorrelation of residuals, Durbin-Watson test for autocorrelation

Details

The function performs summarizing of fitted calibration models and produces several tables (see below). The are printed in appropriate form, and their list is returned invisibly.

See Also

lmcal, nlscal

Examples

set.seed(1234)
x=rep(1:8,5)
y=jitter(sqrt(x))
fit=lmcal(x,y)
fit
summary(fit)