The default tabularise() method for lm objects create a minimalist
table with result of the analysis in a rich-formatted tabular presentation.
Usage
# S3 method for lm
tabularise_default(data, ..., kind = "ft", env = parent.frame())Arguments
- data
An lm object
- ...
Additional arguments passed to
tabularise_coef.lm()- 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 that you can print in different formats (HTML, LaTeX, Word, PowerPoint) or rearrange with the {flextable} functions.
Examples
iris_lm <- lm(data = iris, Petal.Length ~ Sepal.Length)
tabularise::tabularise(iris_lm)
Linear model
NA
Term
Estimate
\alpha
-7.10
\beta_{}
1.86