R: Per-Term Linear Model from Aligned Rank Transformed Data

artlm {ARTool}

R Documentation

Per-Term Linear Model from Aligned Rank Transformed Data

Description

Build a linear model for ART data with response aligned or aligned and ranked by the specified term from the model.

Usage

artlm(
  m,
  term,
  response = c("art", "aligned"),
  factor.contrasts = "contr.sum",
  ...
)

Arguments

`m`	An object of class `art`.
`term`	A character vector indicating the effect term in the transformed data in `m` to use as the aligned or art response.
`response`	Which response to use: the aligned response (`"aligned"`) or the aligned and ranked (`"art"`) response.
`factor.contrasts`	The name of the contrast-generating function to be applied by default to fixed effect factors. Sets the the first element of `options("contrasts")` for the duration of this function. The default is to use `"contr.sum"`, i.e. sum-to-zero contrasts, which is appropriate for Type III ANOVAs (the default ANOVA type for `anova.art`).
`...`	Additional arguments passed to `lm` or `lmer`.

Details

This function is used primarily for post-hoc tests. To run an ANOVA, it does not need to be called directly; instead, use anova.art, which calls this function as needed.

Value

An object of class lm if formula(m) does not contain grouping or error terms, an object of class merMod (i.e. a model fit by lmer) if it contains grouping terms, or an object of class aovlist (i.e. a model fit by aov) if it contains error terms.

Author(s)

Matthew Kay