model_2_txt: Print estimate, 95% CI, and p-value of regression modles

In nrkoehler/xyzfuns: Miscellaneous Helper Functions

Print estimate, 95% CI, and p-value of regression modles

Description

Print estimate, 95% CI, and p-value as derived from broom::tidy\(fit\)

Usage

model_2_txt(
  data,
  beta = estimate,
  unit = "",
  lower = conf.low,
  upper = conf.high,
  p = p.value,
  term,
  filter_var,
  filter_value,
  digits = 2
)

Arguments

data	data frame as derived from broom::tidy\(fit\)
beta	estimate
unit	unit of the estimate \(needs to be quoted\)
lower	Lower bound of 95% CI
upper	Upper bound of 95% CI
p	p-value
term	Name of independent variable \(needs to be quoted, partial match is sufficient\)
filter_var	Name of variable for which a filter should be applied
filter_value	Term to be filtered \(needs to be quoted\)
digits	Number of digits for estimate and CI \(default: 2\) ## Not run: model_2_txt(df) ## End(Not run)

nrkoehler/xyzfuns documentation built on Nov. 12, 2024, 1:29 p.m.