Experimental lifecycle Collection of tidiers that can be passed to tbl_regression() and tbl_uvregression() to obtain modified results. See examples below.

tidy_standardize(
  x,
  exponentiate = FALSE,
  conf.level = 0.95,
  conf.int = TRUE,
  quiet = FALSE,
  ...
)

tidy_bootstrap(
  x,
  exponentiate = FALSE,
  conf.level = 0.95,
  conf.int = TRUE,
  ...,
  quiet = FALSE
)

Arguments

x

a regression model object

exponentiate

Logical indicating whether or not to exponentiate the the coefficient estimates. This is typical for logistic and multinomial regressions, but a bad idea if there is no log or logit link. Defaults to FALSE.

conf.level

The confidence level to use for the confidence interval if conf.int = TRUE. Must be strictly greater than 0 and less than 1. Defaults to 0.95, which corresponds to a 95 percent confidence interval.

conf.int

Logical indicating whether or not to include a confidence interval in the tidied output. Defaults to FALSE.

quiet

Logical indicating whether to print messages in console. Default is FALSE

...

arguments passed to method;

Details

Ensure your model type is compatible with the methods/functions used to estimate the model parameters before attempting to use the tidier with tbl_regression()

Example Output

Example 1

Example 2

Example 3

Examples

# Example 1 ---------------------------------- mod <- lm(age ~ marker + grade, trial) tbl_stnd <- tbl_regression(mod, tidy_fun = tidy_standardize)
#> Estimating standardized coefs with #> `effectsize::standardize_parameters(model = x, ci = 0.95)`
tbl <- tbl_regression(mod) tidy_standardize_ex1 <- tbl_merge( list(tbl_stnd, tbl), tab_spanner = c("**Standardized Model**", "**Original Model**") ) # Example 2 ---------------------------------- # use "posthoc" method for coef calculation tidy_standardize_ex2 <- tbl_regression(mod, tidy_fun = purrr::partial(tidy_standardize, method = "posthoc"))
#> Estimating standardized coefs with #> `effectsize::standardize_parameters(model = x, ci = 0.95, method = "posthoc")`
# Example 3 ---------------------------------- tidy_bootstrap_ex3 <- tbl_regression(mod, tidy_fun = tidy_bootstrap)
#> Estimating bootstrapped coefs with #> `parameters::bootstrap_parameters(model = x, ci = 0.95, test = "p")`