huxreg | R Documentation |
Create a huxtable to display model output
huxreg(
...,
error_format = "({std.error})",
error_pos = c("below", "same", "right"),
number_format = "%.3f",
align = ".",
ci_level = NULL,
tidy_args = NULL,
glance_args = NULL,
stars = c(`***` = 0.001, `**` = 0.01, `*` = 0.05),
bold_signif = NULL,
borders = 0.4,
outer_borders = 0.8,
note = if (is.null(stars)) NULL else "{stars}.",
statistics = c(N = "nobs", R2 = "r.squared", "logLik", "AIC"),
coefs = NULL,
omit_coefs = NULL
)
... |
Models, or a single list of models. Names will be used as column headings. |
error_format |
How to display uncertainty in estimates. See below. |
error_pos |
Display uncertainty "below", to the "right" of, or in the "same" cell as estimates. |
number_format |
Format for numbering. See |
align |
Alignment for table cells. Set to a single character to align on this character. |
ci_level |
Confidence level for intervals. Set to |
tidy_args |
List of arguments to pass to |
glance_args |
List of arguments to pass to |
stars |
Levels for p value stars. Names of |
bold_signif |
Where p values are below this number, cells will be
displayed in bold. Use |
borders |
Thickness of inner horizontal borders. Set to 0 for no borders. |
outer_borders |
Thickness of outer (top and bottom) horizontal borders. Set to 0 for no borders. |
note |
Footnote for bottom cell, which spans all columns. |
statistics |
A vector of summary statistics to display. Set to |
coefs |
A vector of coefficients to display. Overrules |
omit_coefs |
Omit these coefficients. |
Models must have a generics::tidy()
method defined, which should return "term", "estimate",
"std.error", "statistic" and "p.value". The "broom"
package provides methods for many model
objects. If the tidy
method does not have a conf.int
option,
huxreg
will calculate confidence intervals itself, using a normal approximation.
If ...
has names or contains a single named list, the names will be used for column headings.
Otherwise column headings will be automatically created.
If the coef
and/or statistics
vectors have names, these will be used for row headings. If
different values of coef
have the same name, the corresponding rows will be merged in the
output.
statistics
should be column names from generics::glance()
. You can also use "nobs"
for the
number of observations. If statistics
is NULL
then all columns from glance
will be used. To
use no columns, set statistics = character(0)
.
error_format
is a string to be interpreted by glue::glue()
. Terms in parentheses will be
replaced by computed values. You can use any columns returned
by tidy
: typical columns include statistic
, p.value
, std.error
, as well as conf.low
and conf.high
if you have set ci_level
. For example, to show confidence intervals, you
could write error_format = "{conf.low} to {conf.high}"
.
A huxtable object.
If you wish to use e.g. robust standard errors, you can pass results from e.g.
lmtest::coeftest()
into huxreg
, since these objects have tidy
methods.
Alternatively, to manually insert your own statistics, see tidy_override()
.
if (! requireNamespace("broom")) {
stop("Please install 'broom' to run this example.")
}
lm1 <- lm(mpg ~ cyl, mtcars)
lm2 <- lm(mpg ~ cyl + hp, mtcars)
glm1 <- glm(I(mpg > 20) ~ cyl, mtcars,
family = binomial)
huxreg(lm1, lm2, glm1)
if (requireNamespace("sandwich") &&
requireNamespace("lmtest")) {
lm_robust <- lmtest::coeftest(lm1,
vcov = sandwich::vcovHC)
# coeftest() has no "glance" method:
huxreg(lm_robust,
statistics = character(0))
}
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