Create tabular output for simple slopes analysis — as_huxtable.sim

This function converts a sim_slopes object into a huxtable object, making it suitable for use in external documents.

Usage

as_huxtable.sim_slopes(
  x,
  format = "{estimate} ({std.error})",
  sig.levels = c(`***` = 0.001, `**` = 0.01, `*` = 0.05, `#` = 0.1),
  digits = getOption("jtools-digits", 2),
  conf.level = 0.95,
  intercept = attr(x, "cond.int"),
  int.format = format,
  ...
)

Arguments

x: The sim_slopes() object.
format: The method for sharing the slope and associated uncertainty. Default is "{estimate} ({std.error})". See the instructions for the error_format argument of jtools::export_summs() for more on your options.
sig.levels: A named vector in which the values are potential p value thresholds and the names are significance markers (e.g., "*") for when p values are below the threshold. Default is c(`***` = .001, `**` = .01, `*` = .05, `#` = .1).
digits: How many digits should the outputted table round to? Default is 2.
conf.level: How wide the confidence interval should be, if it is used. .95 (95% interval) is the default.
intercept: Should conditional intercepts be included? Default is whatever the cond.int argument to x was.
int.format: If conditional intercepts were requested, how should they be formatted? Default is the same as format.
...: Ignored.

Details

For more on what you can do with a huxtable, see huxtable.