A function that takes a regression model and provides basic statistics in an
ARD structure.
The default output is simpler than ard_regression()
.
The function primarily matches regression terms to underlying variable names
and levels.
The default arguments used are
broom.helpers::tidy_plus_plus(
add_reference_rows = FALSE,
add_estimate_to_reference_rows = FALSE,
add_n = FALSE,
intercept = FALSE
)
Usage
ard_regression_basic(
x,
tidy_fun = broom.helpers::tidy_with_broom_or_parameters,
stats_to_remove = c("term", "var_type", "var_label", "var_class", "label",
"contrasts_type", "contrasts", "var_nlevels"),
...
)
Arguments
- x
regression model object
- tidy_fun
(
function
)
a tidier. Default isbroom.helpers::tidy_with_broom_or_parameters
- stats_to_remove
(
character
)
character vector of statistic names to remove. Default isc("term", "var_type", "var_label", "var_class", "label", "contrasts_type", "contrasts", "var_nlevels")
.- ...
Arguments passed to
broom.helpers::tidy_plus_plus()
Examples
lm(AGE ~ ARM, data = cards::ADSL) |>
ard_regression_basic()
#> {cards} data frame: 12 x 7
#> variable variable_level context stat_name stat_label stat
#> 1 ARM Xanomeli… regressi… estimate Coeffici… -0.828
#> 2 ARM Xanomeli… regressi… std.error Standard… 1.267
#> 3 ARM Xanomeli… regressi… statistic statistic -0.654
#> 4 ARM Xanomeli… regressi… p.value p-value 0.514
#> 5 ARM Xanomeli… regressi… conf.low CI Lower… -3.324
#> 6 ARM Xanomeli… regressi… conf.high CI Upper… 1.668
#> 7 ARM Xanomeli… regressi… estimate Coeffici… 0.457
#> 8 ARM Xanomeli… regressi… std.error Standard… 1.267
#> 9 ARM Xanomeli… regressi… statistic statistic 0.361
#> 10 ARM Xanomeli… regressi… p.value p-value 0.719
#> 11 ARM Xanomeli… regressi… conf.low CI Lower… -2.039
#> 12 ARM Xanomeli… regressi… conf.high CI Upper… 2.953
#> ℹ 1 more variable: fmt_fn