summary_interact {depigner} R Documentation

## summary_interact

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)

A data frame

### Examples


library(rms)

data("transplant")

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

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)



[Package depigner version 0.8.4 Index]