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Fit Contrasts for Linear Model (Default Method)

Source: R/con_stats.R
fit_contrasts.default.Rd

This function calculates contrasts for a fitted linear model.

Usage

# Default S3 method
fit_contrasts(object, conmat, colind, se = TRUE, cov.unscaled = NULL, ...)

Arguments

object

The fitted linear model object.

conmat

The contrast matrix or contrast vector.

colind

The subset column indices in the design associated with the contrast.

se

Whether to compute standard errors, t-statistics, and p-values (default: TRUE).

cov.unscaled

Optional unscaled coefficient covariance \((X'X)^{-1}\) of object, to reuse across several contrasts on the same fit (default: computed from object).

...

Additional arguments (unused)

Value

A list containing the following elements:

  • conmat: Contrast matrix.

  • sigma: Residual standard error.

  • df.residual: Degrees of freedom for residuals.

  • estimate: Estimated contrasts.

  • se: Standard errors of the contrasts (if se = TRUE).

  • stat: t-statistics for the contrasts (if se = TRUE).

  • prob: Probabilities associated with the t-statistics (if se = TRUE).

  • stat_type: Type of the statistics calculated.