huxreg

0th

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Create a huxtable to display model output

Create a huxtable to display model output

Usage
huxreg(..., error_format = "({std.error})", error_style = c("stderr",
  "ci", "statistic", "pvalue"), error_pos = c("below", "same", "right"),
  number_format = "%.3f", align = ".", pad_decimal = ".",
  ci_level = NULL, tidy_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)
Arguments
...

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_style

Deprecated. One or more of "stderr", "ci" (confidence interval), "statistic" or "pvalue".

error_pos

Display uncertainty "below", to the "right" of, or in the "same" cell as estimates.

number_format

Format for numbering. See number_format() for details.

align

Alignment for table cells. Set to a single character to align on this character.

pad_decimal

Deprecated in favour of align.

ci_level

Confidence level for intervals. Set to NULL to not calculate confidence intervals.

tidy_args

List of arguments to pass to broom::tidy(). You can also pass a list of lists; if so, the nth element will be used for the nth column.

stars

Levels for p value stars. Names of stars are symbols to use. Set to NULL to not show stars.

bold_signif

Where p values are below this number, cells will be displayed in bold. Use NULL to turn off this behaviour.

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. {stars} will be replaced by a note about significance stars. Set to NULL for no footnote.

statistics

A vector of summary statistics to display. Set to NULL to show all available statistics. To change display names, name the statistics vector: c("Displayed title" = "statistic_name", ...)

coefs

A vector of coefficients to display. Overrules omit_coefs. To change display names, name the coef vector: c("Displayed title" = "coefficient_name", ...)

omit_coefs

Omit these coefficients.

Details

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}".

Value

A huxtable object.

Fixing p values manually

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().

Aliases
  • huxreg
Examples
# NOT RUN {
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)

# }
Documentation reproduced from package huxtable, version 4.5.0, License: MIT + file LICENSE

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