cookPasta: Spaghetti-plot fixed and random effects of linear mixed...

In pastaPlot: Spaghetti-Plot Fixed and Random Effects of Linear Mixed Models

Spaghetti-plot fixed and random effects of linear mixed models

Description

cookPasta() creates dataframes from fixed and random effects of 'lme4' or 'glmmTMB' models (e.g., for plotting)

Usage

cookPasta(
  model = NULL,
  predictor = NULL,
  nested.in = NULL,
  group = NULL,
  ci.int = FALSE,
  ci.lvl = ci.lvl
)

Arguments

model	lme4 or glmmTMB model object
predictor	(Character) Name of predictor (e.g., "time" or "math_score"), as it is present in the model
nested.in	(Character) Name of the variable your time points or subjects are nested in (e.g.,"school" or "id")
group	(Optional, character) The name of your grouping variable (e.g., "condition" or "gender")
ci.int	(Optional, boolean) Enable confidence (prediction) intervals, disabled by default
ci.lvl	(Optional, numeric) Set level of confidence (prediction) intervals (default: 0.95). Requires ci.int to be set to TRUE

Value

Returns a list of two dataframes, in which the first element is the fixed effects dataframe and the second element the random effects dataframe

pastaPlot documentation built on June 22, 2024, 9:29 a.m.