growthrates (version 0.8.1)

rsquared,growthrates_fit-method: Accessor Methods of Package growthrates.

Description

Functions to access the results of fitted growthrate objects: summary, coef, rsquared, deviance, residuals, df.residual, obs, results.

Usage

# S4 method for growthrates_fit
rsquared(object, ...)
# S4 method for growthrates_fit
obs(object, ...)
# S4 method for growthrates_fit
coef(object, extended = FALSE, ...)
# S4 method for easylinear_fit
coef(object, ...)
# S4 method for smooth.spline_fit
coef(object, extended = FALSE, ...)
# S4 method for growthrates_fit
deviance(object, ...)
# S4 method for growthrates_fit
summary(object, ...)
# S4 method for nonlinear_fit
summary(object, cov = TRUE, ...)
# S4 method for growthrates_fit
residuals(object, ...)
# S4 method for growthrates_fit
df.residual(object, ...)
# S4 method for smooth.spline_fit
summary(object, cov = TRUE, ...)
# S4 method for smooth.spline_fit
df.residual(object, ...)
# S4 method for smooth.spline_fit
deviance(object, ...)
# S4 method for multiple_fits
coef(object, ...)
# S4 method for multiple_fits
rsquared(object, ...)
# S4 method for multiple_fits
deviance(object, ...)
# S4 method for multiple_fits
results(object, ...)
# S4 method for multiple_easylinear_fits
results(object, ...)
# S4 method for multiple_fits
summary(object, ...)
# S4 method for multiple_fits
residuals(object, ...)

Arguments

object

name of a 'growthrate' object.

…

other arguments passed to the methods.

extended

boolean if extended set of parameters shoild be printed

cov

boolean if the covariance matrix should be printed.

Examples

# NOT RUN {
data(bactgrowth)
splitted.data <- multisplit(bactgrowth, c("strain", "conc", "replicate"))

## get table from single experiment
dat <- splitted.data[[10]]

fit1 <- fit_spline(dat$time, dat$value, spar=0.5)
coef(fit1)
summary(fit1)

## derive start parameters from spline fit
p <- c(coef(fit1), K = max(dat$value))
fit2 <- fit_growthmodel(grow_logistic, p=p, time=dat$time, y=dat$value, transform="log")
coef(fit2)
rsquared(fit2)
deviance(fit2)

summary(fit2)

plot(residuals(fit2) ~ obs(fit2)[,2])


# }