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Summary of Groot Fits

Source: R/summary.groot_fit.R
summary.groot_fit.Rd

Summarizes parameter estimates and goodness-of-fit statistics for a fitted Groot model.

Usage

# S3 method for class 'groot_fit'
summary(object, ...)

Arguments

object

A groot_fit object.

...

Additional arguments passed to methods.

Value

A data frame containing parameter estimates and model diagnostics for each fitted bottle.

Details

The summary typically includes:

  • Asymptotic gas production (VF)

  • Half-time parameter (b)

  • Shape parameter (k)

  • Residual Sum of Squares (RSS)

  • Root Mean Squared Error (RMSE)

  • R-squared (R²)

  • Akaike Information Criterion (AIC)

  • Bayesian Information Criterion (BIC)

The Groot model is a flexible sigmoidal model commonly used in rumen gas production studies.

The parameter b represents the time required to reach approximately half of the asymptotic gas production, while k controls curve shape and steepness.

Notes

The Groot model is mathematically equivalent to the generalized Michaelis-Menten model implemented in fit_mm().

Parameter correspondence:

  • VF = A

  • b = K

  • k = c

See also

fit_groot, fit_mm, plot_fit, plot_residuals, compare_models

Examples


files <- example_data()

raw_data <- read_ankom(
  files$ankom
)

metadata <- read_metadata(
  files$metadata
)

gp <- process_ankom(
  raw_data,
  metadata,
  headspace_ml = 210,
  temperature_c = 39
)

fit <- fit_groot(
  gp
)
#> Warning: Large negative pressure values detected. Minimum PSI = -1.274 . Please inspect the affected bottles.
#> rumenGP data validation passed.
#> Observations: 1752
#> Heads: 24
#> Treatments: 5

summary(
  fit
)
#> 
#> Groot model summary
#> -------------------
#> Total bottles: 24
#> Successful fits: 23
#> Failed fits: 1
#> Low R-squared (< 0.90): 2
#>