Create a huxtable to display model output
huxreg(..., error_format = "({std.error})", error_style = c("stderr", "ci",
"statistic", "pvalue"), error_pos = c("below", "same", "right"),
number_format = "%.3f", pad_decimal = ".", ci_level = NULL,
stars = c(`***` = 0.001, `**` = 0.01, `*` = 0.05), bold_signif = NULL,
borders = 0.4, note = "{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.
How to display uncertainty in estimates. See below.
Deprecated. One or more of 'stderr', 'ci' (confidence interval), 'statistic' or 'pvalue'.
Display uncertainty 'below', to the 'right' of, or in the 'same' cell as estimates.
Format for numbering. See number_format
for details.
Character for decimal point; columns will be right-padded to align these.
Set to NA
to turn off padding. See pad_decimal
for details.
Confidence level for intervals. Set to NULL
to not calculate confidence intervals.
Levels for p value stars. Names of stars
are symbols to use. Set to NULL
to not show stars.
Where p values are below this number, cells will be displayed in bold. Use NULL
to turn off
this behaviour.
Thickness of horizontal borders in appropriate places. Set to 0 for no borders.
Footnote for bottom cell, which spans all columns. {stars}
will be replaced by a note about
significance stars. Set to NULL
for no footnote.
Summary statistics to display. Set to NULL
to show all available statistics.
Display only these coefficients. Overrules omit_coef
.
Omit these coefficients.
A huxtable object.
Models must have a tidy
method defined, which should return 'term', 'estimate', 'std.error',
'statistic' and 'p.value'. 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.
Each element of statistics
should be a column name from glance
. You can also
use 'nobs' for the number of observations. If statistics
is NULL
then all columns of from glance
will be used. To use no columns, set statistics = character(0)
.
error_format
is a string to be interpreted by 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 do error_format = "{conf.low} to {conf.high}"
# NOT RUN {
set.seed(27101975)
dfr <- data.frame(a = rnorm(100), b = rnorm(100))
dfr$y <- dfr$a + rnorm(100)
lm1 <- lm(y ~ a, dfr)
lm2 <- lm(y ~ a + b, dfr)
glm1 <- glm(I(y > 0) ~ a, dfr, family = binomial)
huxreg(lm1, lm2, glm1)
# }
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