gtsummary (version 1.6.3)

inline_text.tbl_uvregression: Report statistics from regression summary tables inline

Description

Extracts and returns statistics from a table created by the tbl_uvregression function for inline reporting in an R markdown document. Detailed examples in the inline_text vignette

Usage

# S3 method for tbl_uvregression
inline_text(
  x,
  variable,
  level = NULL,
  pattern = "{estimate} ({conf.level*100}% CI {conf.low}, {conf.high}; {p.value})",
  estimate_fun = NULL,
  pvalue_fun = NULL,
  ...
)

Value

A string reporting results from a gtsummary table

Arguments

x

Object created from tbl_uvregression

variable

Variable name of statistics to present

level

Level of the variable to display for categorical variables. Default is NULL, returning the top row in the table for the variable.

pattern

String indicating the statistics to return. Uses glue::glue formatting. Default is "{estimate} ({conf.level }% CI {conf.low}, {conf.high}; {p.value})". All columns from x$table_body are available to print as well as the confidence level (conf.level). See below for details.

estimate_fun

function to style model coefficient estimates. Columns 'estimate', 'conf.low', and 'conf.high' are formatted. Default is x$inputs$estimate_fun

pvalue_fun

function to style p-values and/or q-values. Default is function(x) style_pvalue(x, prepend_p = TRUE)

...

Not used

pattern argument

The following items (and more) are available to print. Use print(x$table_body) to print the table the estimates are extracted from.

• {estimate} coefficient estimate formatted with 'estimate_fun'

• {conf.low} lower limit of confidence interval formatted with 'estimate_fun'

• {conf.high} upper limit of confidence interval formatted with 'estimate_fun'

• {p.value} p-value formatted with 'pvalue_fun'

• {N} number of observations in model

• {label} variable/variable level label

Author

Daniel D. Sjoberg

See Also

Other tbl_uvregression tools: add_global_p(), add_q(), bold_italicize_labels_levels, modify, tbl_merge(), tbl_split(), tbl_stack(), tbl_strata(), tbl_uvregression()

Examples

# \donttest{
inline_text_ex1 <-
  trial[c("response", "age", "grade")] %>%
  tbl_uvregression(
    method = glm,
    method.args = list(family = binomial),
    y = response,
    exponentiate = TRUE
  )

inline_text(inline_text_ex1, variable = age)
inline_text(inline_text_ex1, variable = grade, level = "III")
# }