Create a rich-formatted table using the table of coefficients of the summary.glm object

Create a rich-formatted {flextable} object with the table of coefficients from the summary() of a glm object.

# S3 method for class 'summary.glm'
tabularise_coef(
  data,
  header = TRUE,
  title = NULL,
  equation = header,
  auto.labs = TRUE,
  origdata = NULL,
  labs = NULL,
  lang = getOption("SciViews_lang", default = Sys.getenv("LANGUAGE", unset = "en")),
  show.signif.stars = getOption("show.signif.stars", TRUE),
  ...,
  kind = "ft",
  env = parent.frame()
)

Arguments

data: A summary.glm object
header: If TRUE (by default), add a header to the table
title: If TRUE, add a title to the table header. Default to the same value than header, except outside of a chunk where it is FALSE if a table caption is detected (tbl-cap YAML entry).
equation: If TRUE (by default), try to add a equation to the table header. The equation can also be passed in the form of a character string.
auto.labs: If TRUE (by default), use labels (and units) automatically from data or origdata=.
origdata: The original data set this model was fitted to. By default it is NULL and no label is used.
labs: Labels to change the names of elements in the term column of the table. By default it is NULL and nothing is changed.
lang: The natural language to use. The default value can be set with, e.g., options(SciViews_lang = "fr") for French.
show.signif.stars: If TRUE, add the significance stars to the table. The default is getOption("show.signif.stars")
...: Additional arguments
kind: The kind of table to produce: "tt" for tinytable, or "ft" for flextable (default).
env: The environment where to evaluate formulas (you probably do not need to change the default).

Value

A flextable object that you can print in different formats (HTML, LaTeX, Word, PowerPoint) or rearrange with the {flextable} functions.

Examples

iris_glm <- glm(data = iris, Petal.Length ~ Sepal.Length)
iris_glm_sum <- summary(iris_glm)
tabularise::tabularise_coef(iris_glm_sum)
Generalized Linear Model
Term Estimate Standard Error t value p value
Intercept -7.10 0.5067 -14.0 < 2·10-16
Sepal.Length  1.86 0.0859  21.6 < 2·10-16
0 <= '***' < 0.001 < '**' < 0.01 < '*' < 0.05

Generalized Linear Model
Term	Estimate	Standard Error	t value	p value
Intercept	-7.10	0.5067	-14.0	< 2·10-16
Sepal.Length	1.86	0.0859	21.6	< 2·10-16
0 <= '*' < 0.001 < '' < 0.01 < '*' < 0.05