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Create a rich-formatted table from a glm object

Usage

# S3 method for glm
tabularise_default(
  data,
  footer = TRUE,
  lang = getOption("data.io_lang", "en"),
  ...,
  kind = "ft",
  env = parent.frame()
)

Arguments

data

A glm object

footer

If TRUE (by default), add a footer to the table

lang

The natural language to use. The default value can be set with, e.g., options(data.io_lang = "fr") for French.

...

Additional arguments passed to tabularise_coef.glm()

kind

The kind of table to produce: "tt" for tinytable, or "ft" for flextable (default).

env

The environment where to evaluate the model.

Value

A flextable object is returned. You can print it in different formats (HTML, LaTeX, Word, PowerPoint) or rearrange it with the {flextable} functions.

Examples

iris_glm <- glm(data = iris, Petal.Length ~ Sepal.Length)
tabularise::tabularise(iris_glm)

Generalized Linear Model

NA

Term

Estimate

\alpha

-7.10

\beta_{}

1.86

Degrees of freedom: 149 Total (i.e. no model) 148 Residual

Total deviance: 464.3

Residual deviance: 111.5 AIC: 387.1