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

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. The method for sharing the slope and associated uncertainty. Default is "{estimate} ({std.error})". See the instructions for the error_format argument of export_summs() for more on your options. 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). How many digits should the outputted table round to? Default is 2. How wide the confidence interval should be, if it is used. .95 (95% interval) is the default. Should conditional intercepts be included? Default is whatever the cond.int argument to x was. 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.