Create a rich-formatted table from a glm object

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

Arguments

data

A glm object

header

Logical. If TRUE (FALSE by default), a header is added to the table. The header includes both the title and the equation (if applicable). If set to FALSE, neither the title nor the equation will be displayed in the table header, even if the title or equation parameters are provided.

title

If TRUE (FALSE by default), 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

Logical or character. Controls whether an equation is added to the table header and how parameters are used. Accepted values are:

TRUE: The equation is generated and added to the table header. Its parameters are also used in the "Term" column.
FALSE (by default): No equation is generated or displayed, and its parameters are not used in the "Term" column.
NA: The equation is generated but not displayed in the table header. Its parameters are used in the "Term" column.
Character string: A custom equation is provided directly and added to the table header.

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.

footer

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

lang

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

...

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 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)
Term Estimate
Intercept -7.10
Sepal.Length  1.86
tabularise::tabularise(iris_glm, header = TRUE, footer = TRUE)
Generalized Linear Model
 $E( \operatorname{Petal.Length} ) = \alpha + \beta_{}(\operatorname{Sepal.Length})$ 
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
tabularise::tabularise(iris_glm, header = TRUE, footer = FALSE)
Generalized Linear Model
 $E( \operatorname{Petal.Length} ) = \alpha + \beta_{}(\operatorname{Sepal.Length})$ 
Term Estimate
 $\alpha$ -7.10
 $\beta_{}$  1.86
tabularise::tabularise(iris_glm, header = TRUE, equation = NA,footer = TRUE)
Generalized Linear Model
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

Generalized Linear Model
$E( \operatorname{Petal.Length} ) = \alpha + \beta_{}(\operatorname{Sepal.Length})$
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