Convert a spicy_regression_table to a plain data.frame / tibble

as.data.frame() returns the table table_regression() displays, with its numbers: exactly what output = "data.frame" returns. One row per printed row – the coefficients, the header and the levels of each factor, the reference levels, the fit statistics – with the key columns variable (the variable of the row: the term of a coefficient, the factor of a level, the token of a fit statistic such as "nobs" or "r2"), label (the label displayed for that variable, or the text of a fit-statistic row), level (the level of a factor row) and .row_role ("coef", "factor_header", "level", "reference", "fit_stat", ..., the roles of as_structured()), then the printed columns under their names, numeric: the interval of a coefficient is split into its two bounds ("95% CI LL", "95% CI UL"), a fit statistic sits in the first column of its model, and a cell of events over a total (n_events) keeps the events in its column and the total beside it ("<column>: N"). With several models each column name starts with the model's label. The note, as printed, is kept in attr(, "note"). as_tibble() returns the same table as a tibble.

Usage

# S3 method for class 'spicy_regression_table'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)

# S3 method for class 'spicy_regression_table'
as_tibble(x, ...)

Arguments

x

A spicy_regression_table returned by table_regression().

row.names, optional

Standard as.data.frame() arguments (currently ignored – the table's row layout is preserved).

...

Currently ignored.

Value

A plain data.frame (for as.data.frame()) or a tbl_df (for as_tibble()), identical to the output = "data.frame" of the same call.

Details

For one row per coefficient with the broom names, use output = "long" or tidy.spicy_regression_table().

See also

tidy.spicy_regression_table(), glance.spicy_regression_table() for broom-canonical long views.