Quickly Create Elegant Regression Results Tables and Plots when Modelling

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Documentation for package ‘finalfit’ version 1.0.8

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

B C D E F G H L M O P R S W

finalfit-package

finalfit: Quickly create elegant final results tables and plots when modelling.

-- B --

boot_compare	Compare bootstrapped distributions
boot_predict	Bootstrap simulation for model prediction

-- C --

check_recode	Check accurate recoding of variables
coefficient_plot	Produce a coefficient table and plot
colon_s	Chemotherapy for Stage B/C colon cancer
coxphmulti	Cox proprotional hazards multivariable models: 'finalfit' model wrapper
coxphuni	Cox proprotional hazards univariable models: 'finalfit' model wrapper
crrmulti	Competing risks multivariable regression: 'finalfit' model wrapper
crruni	Competing risks univariable regression: 'finalfit' model wrapper

-- D --

dependent_label

Make a label for the dependent variable

-- E --

extract_variable_label

Extract variable labels from dataframe

-- F --

ff_column_totals	Add column totals to 'summary_factorlist()' output
ff_expand	Summarise with mode and mean/median and expand given factors
ff_formula	Generate formula as character string
ff_glimpse	Descriptive statistics for dataframe
ff_interaction	Make an interaction variable and add to dataframe
ff_label	Label a variable
ff_merge	Merge a 'summary_factorlist()' table with any number of model results tables.
ff_metrics	Generate common metrics for regression model results
ff_metrics.coxph	Generate common metrics for regression model results
ff_metrics.coxphlist	Generate common metrics for regression model results
ff_metrics.glm	Generate common metrics for regression model results
ff_metrics.glmerMod	Generate common metrics for regression model results
ff_metrics.glmlist	Generate common metrics for regression model results
ff_metrics.lm	Generate common metrics for regression model results
ff_metrics.lmerMod	Generate common metrics for regression model results
ff_metrics.lmlist	Generate common metrics for regression model results
ff_mode	Return the most frequent level in a factor
ff_newdata	Generate newdata for simulations
ff_parse_formula	Parse a formula to finalfit grammar
ff_percent_only	Include only percentages for factors in 'summary_factorlist' output
ff_permute	Permuate explanatory variables to produce multiple output tables for common regression models
ff_plot	Produce a table and plot
ff_relabel	Relabel variables in a data frame
ff_relabel_df	Relabel variables from data frame after tidyverse functions
ff_remove_p	Remove p-value from output
ff_remove_ref	Remove regression reference level row from table
ff_row_totals	Add row totals to 'summary_factorlist()' output
ff_stratify_helper	Help making stratified summary_factorlist tables
finalfit	Final output tables for common regression models
finalfit.coxph	Final output tables for common regression models
finalfit.glm	Final output tables for common regression models
finalfit.lm	Final output tables for common regression models
finalfit_column_totals	Add column totals to 'summary_factorlist()' output
finalfit_expand	Summarise with mode and mean/median and expand given factors
finalfit_formula	Generate formula as character string
finalfit_glimpse	Descriptive statistics for dataframe
finalfit_interaction	Make an interaction variable and add to dataframe
finalfit_label	Label a variable
finalfit_merge	Merge a 'summary_factorlist()' table with any number of model results tables.
finalfit_mode	Return the most frequent level in a factor
finalfit_newdata	Generate newdata for simulations
finalfit_percent_only	Include only percentages for factors in 'summary_factorlist' output
finalfit_permute	Permuate explanatory variables to produce multiple output tables for common regression models
finalfit_plot	Produce a table and plot
finalfit_relabel	Relabel variables in a data frame
finalfit_relabel_df	Relabel variables from data frame after tidyverse functions
finalfit_remove_p	Remove p-value from output
finalfit_remove_ref	Remove regression reference level row from table
finalfit_row_totals	Add row totals to 'summary_factorlist()' output
fit2df	Extract model fit results to dataframe (generic): 'finalfit' model extractors
fit2df.coxme	Extract model fit results to dataframe (generic): 'finalfit' model extractors
fit2df.coxph	Extract model fit results to dataframe (generic): 'finalfit' model extractors
fit2df.coxphlist	Extract model fit results to dataframe (generic): 'finalfit' model extractors
fit2df.crr	Extract model fit results to dataframe (generic): 'finalfit' model extractors
fit2df.crrlist	Extract model fit results to dataframe (generic): 'finalfit' model extractors
fit2df.glm	Extract model fit results to dataframe (generic): 'finalfit' model extractors
fit2df.glmboot	Extract model fit results to dataframe (generic): 'finalfit' model extractors
fit2df.glmerMod	Extract model fit results to dataframe (generic): 'finalfit' model extractors
fit2df.glmlist	Extract model fit results to dataframe (generic): 'finalfit' model extractors
fit2df.lm	Extract model fit results to dataframe (generic): 'finalfit' model extractors
fit2df.lmerMod	Extract model fit results to dataframe (generic): 'finalfit' model extractors
fit2df.lmlist	Extract model fit results to dataframe (generic): 'finalfit' model extractors
fit2df.mipo	Extract model fit results to dataframe (generic): 'finalfit' model extractors
fit2df.stanfit	Extract model fit results to dataframe (generic): 'finalfit' model extractors
fit2df.svyglmlist	Extract model fit results to dataframe (generic): 'finalfit' model extractors
format_n_percent	Format n and percent as a character

-- G --

glmmixed	Mixed effects binomial logistic regression models: 'finalfit' model wrapper
glmmulti	Binomial logistic regression multivariable models: 'finalfit' model wrapper
glmmulti_boot	Binomial logistic regression multivariable models with bootstrapped confidence intervals: 'finalfit' model wrapper
glmuni	Binomial logistic regression univariable models: 'finalfit' model wrapper

-- H --

hr_plot

Produce a hazard ratio table and plot

-- L --

labels_to_column	Labels to column names
labels_to_level	Labels to level
lmmixed	Mixed effects linear regression models: 'finalfit' model wrapper
lmmulti	Linear regression multivariable models: 'finalfit' model wrapper
lmuni	Linear regression univariable models: 'finalfit' model wrapper

-- M --

metrics_hoslem	Hosmer-Lemeshow goodness of fit test
missing_compare	Compare missing data
missing_glimpse	Summary of missing values
missing_pairs	Missing values pairs plot
missing_pattern	Characterise missing data for 'finalfit' models
missing_plot	Missing values occurrence plot
missing_predictorMatrix	Create predictorMatrix for use with mice

-- O --

or_plot

Produce an odds ratio table and plot

-- P --

p_tidy

Round p-values but keep trailing zeros

-- R --

rm_duplicates	Remove duplicates and replace
rm_empty_block	Remove rows where all specified variables are missing
round_tidy	Round values but keep trailing zeros

-- S --

summary_df	Summarise with mode for factors and mean/median for numeric variables
summary_factorlist	Summarise a set of factors (or continuous variables) by a dependent variable
summary_factorlist_stratified	Summarise a set of factors (or continuous variables) by a dependent variable
surv_plot	Plot survival curves with number-at-risk table
svyglmmulti	Multivariable survey-weighted generalised linear models
svyglmuni	Univariable survey-weighted generalised linear models

-- W --

wcgs	Western Collaborative Group Study