This function converts a sim_margins
object into a
huxtable
object, making it suitable for use in external documents.
as_huxtable.sim_margins(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, ...)
A sim_margins
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.
For more on what you can do with a huxtable
, see huxtable.