Output plot and means table for interactions. Can plot discrete or continuous factors. Can be passed plotting variables for pirateye

Output plot and means table for interactions. Can plot discrete or continuous factors. Can be passed plotting variables for pirateye

Usage

bayes_mm_interact(
  bmm,
  interacts = NULL,
  binom = F,
  title = NULL,
  pred_values = NULL,
  ribbon = T,
  ladder = F,
  spark = F,
  slope_mpes = T,
  mfx_sideplot = F,
  ylim = NULL,
  contrast_sparkline = F,
  show_mpe = T,
  show_preddist = T,
  ...
)

Arguments

bmm

needs a bayes mixed model object (or a list with one at start)

interacts

interactions you want to plot with : separating, gives all if void. Remember that punctuation gets stripped from condition names

pred_values

for continuous variables, a vector of values where predictions are made. Defaults to 10 equally spaced steps

ribbon

for continuous variables, shades area where no evidence lines are different

ladder

for continuous variables, writes MPEs at each predicted value

spark

for continuous variables,plots the MPEs at each predicted value below main plot

contrast_sparkline

show distribution of contrast estimate below plot

show_mpe

report the mpes between pairs of mean estimates for the first names condition

show_preddist

show distributions for the mean estimates

...

pirateye plotting parameters