summary_interact: summary_interact

In CorradoLanera/depigner: A Utility Package to Help you Deal with "Pignas"

summary_interact

Description

summary_interact

Usage

summary_interact(
  model,
  ref,
  discrete,
  ref_min = NULL,
  ref_max = NULL,
  level = NULL,
  ...,
  digits = 3L,
  p = FALSE
)

Arguments

model	A model from lrm
ref	A continuous variable for which we are interested in the estimation of the OR for the various level of interaction with a discrete variable interacting with it
discrete	The discrete interacting variable
ref_min	Denominator continuous level for the Odds Ratio (i.e., the reference level), if NULL (the default)
ref_max	Numerator continuous level for the Odds Ratio (i.e., the target level)
level	A character vector of levels to show. Default (NULL) means to show all the possible levels for the discrete variable
...	for possible future development
digits	number of significant digits to print. Default is 3 Note: the datadist has to be defined for the data used in the model
p	do you want also the P-value (default = FALSE)

Value

A data frame

Examples

  library(rms)
  options(datadist = "dd")

  data("transplant", package = "survival")

  transplant <- transplant[transplant[["event"]] != "censored", ] %>%
   droplevels()
  dd <- datadist(transplant)

  lrm_mod <- lrm(event ~ rcs(age, 3) * (sex + abo) + rcs(year, 3),
    data = transplant
  )

  lrm_mod
  summary(lrm_mod)
  summary_interact(lrm_mod, age, sex)
  summary_interact(lrm_mod, age, sex, ref_min = 60, ref_max = 80)
  summary_interact(lrm_mod, age, sex,
    ref_min = 60, ref_max = 80, digits = 5L
  )

  summary_interact(lrm_mod, age, abo)
  summary_interact(lrm_mod, age, abo, level = c("A", "AB"))
  summary_interact(lrm_mod, age, abo, level = c("A", "AB"), p = TRUE)

CorradoLanera/depigner documentation built on April 26, 2023, 4:34 a.m.