ff_merge: Merge a 'summary_factorlist()' table with any number of model...

In finalfit: Quickly Create Elegant Regression Results Tables and Plots when Modelling

Merge a summary_factorlist() table with any number of model results tables.

Description

A function that takes the output from summary_factorlist(..., fit_id=TRUE) and merges with any number of model dataframes, usually produced with a model wrapper followed by the fit2df() function (see examples).

Usage

ff_merge(
  factorlist,
  fit2df_df,
  ref_symbol = "-",
  estimate_name = NULL,
  last_merge = FALSE
)

finalfit_merge(
  factorlist,
  fit2df_df,
  ref_symbol = "-",
  estimate_name = NULL,
  last_merge = FALSE
)

Arguments

factorlist	Output from summary_factorlist(..., fit_id=TRUE).
fit2df_df	Output from model wrappers followed by fit2df().
ref_symbol	Reference symbol for model reference levels, typically "-" or "1.0".
estimate_name	If you have chosen a new 'estimate name' (e.g. "Odds ratio") when running a model wrapper (e.g. 'glmuni'), then you need to pass this new name to 'finalfit_merge' to generate correct table. Defaults to OR/HR/Coefficient
last_merge	Logical. Set to try for the final merge in a series to remove index and fit_id columns.

Value

Returns a dataframe of combined tables.

See Also

summary_factorlist fit2df

Examples

library(finalfit)
library(dplyr)

explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor")
explanatory_multi = c("age.factor", "obstruct.factor")
random_effect = "hospital"
dependent = "mort_5yr"

# Create separate tables
colon_s %>%
 summary_factorlist(dependent, explanatory, fit_id=TRUE) -> example.summary

colon_s %>%
 glmuni(dependent, explanatory) %>%
 fit2df(estimate_suffix=" (univariable)") -> example.univariable

colon_s %>%
 glmmulti(dependent, explanatory) %>%
 fit2df(estimate_suffix=" (multivariable)") -> example.multivariable

colon_s %>%
 glmmixed(dependent, explanatory, random_effect) %>%
 fit2df(estimate_suffix=" (multilevel)") -> example.multilevel

# Pipe together
example.summary %>%
 ff_merge(example.univariable) %>%
 ff_merge(example.multivariable) %>%
 ff_merge(example.multilevel, last_merge = TRUE)

# Using finalfit()
colon_s %>%
 finalfit(dependent, explanatory, keep_fit_id = TRUE) %>%
 ff_merge(example.multilevel, last_merge = TRUE)

finalfit documentation built on Nov. 17, 2023, 1:09 a.m.