summary_interact {depigner} | R Documentation |

summary_interact

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

`model` |
A model from |

`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 |

`p` |
do you want also the P-value (default = FALSE) |

A data frame

```
library(rms)
options(datadist = "dd")
data("transplant")
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)
```

[Package *depigner* version 0.8.4 Index]