Man pages for finalfit
Quickly Create Elegant Regression Results Tables and Plots when Modelling
| boot_compare | Compare bootstrapped distributions |
| boot_predict | Bootstrap simulation for model prediction |
| catTestfisher | Deprecated catTest from Hmisc for reverse dependencies |
| check_recode | Check accurate recoding of variables |
| coefficient_plot | Produce a coefficient table and plot |
| colon_s | Chemotherapy for Stage B/C colon cancer |
| compoundpipe | magrittr compound assignment pipe-operator |
| condense_fit | Condense model output dataframe for final tables |
| coxphmulti | Cox proprotional hazards multivariable models: 'finalfit'... |
| coxphuni | Cox proprotional hazards univariable models: 'finalfit' model... |
| crrmulti | Competing risks multivariable regression: 'finalfit' model... |
| crruni | Competing risks univariable regression: 'finalfit' model... |
| dependent_label | Make a label for the dependent variable |
| error_colon_fct_levels | Errors: colon in factor levels |
| expositionpipe | magrittr exposition pipe-operator |
| extract_fit | Extract model output to dataframe |
| extract_labels | Extract variable labels and names |
| extract_variable_label | Extract variable labels from dataframe |
| ff_column_totals | Add column totals to 'summary_factorlist()' output |
| ff_eval | Eval for 'lm' and 'glm' model wrappers |
| 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... |
| ff_metrics | 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'... |
| ff_permute | Permuate explanatory variables to produce multiple output... |
| 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-package | finalfit: Quickly create elegant final results tables and... |
| fit2df | Extract model fit results to dataframe (generic): 'finalfit'... |
| format_n_percent | Format n and percent as a character |
| glmmixed | Mixed effects binomial logistic regression models: 'finalfit'... |
| glmmulti | Binomial logistic regression multivariable models: 'finalfit'... |
| glmmulti_boot | Binomial logistic regression multivariable models with... |
| glmuni | Binomial logistic regression univariable models: 'finalfit'... |
| hr_plot | Produce a hazard ratio table and plot |
| is.survival | Test character describes survival object |
| labels_to_column | Labels to column names |
| labels_to_level | Labels to level |
| lmmixed | Mixed effects linear regression models: 'finalfit' model... |
| lmmulti | Linear regression multivariable models: 'finalfit' model... |
| lmuni | Linear regression univariable models: 'finalfit' model... |
| metrics_hoslem | Hosmer-Lemeshow goodness of fit test |
| missing_compare | Compare missing data |
| missing_df | Missing values data frame |
| 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 |
| or_plot | Produce an odds ratio table and plot |
| pipe | Pipe operator |
| plot_title | Label plot title |
| Print methods for finalfit data frames | |
| p_tidy | Round p-values but keep trailing zeros |
| remove_intercept | Remove intercept from model output |
| remove_labels | Remove variable labels. |
| rm_duplicate_labels | Remove duplicate levels within 'summary_factorlist':... |
| 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 |
| summary_df | Summarise with mode for factors and mean/median for numeric... |
| summary_factorlist | Summarise a set of factors (or continuous variables) by a... |
| summary_factorlist_stratified | Summarise a set of factors (or continuous variables) by a... |
| summary_mipo | Call to mice:::summary.mipo |
| surv_plot | Plot survival curves with number-at-risk table |
| svyglmmulti | Multivariable survey-weighted generalised linear models |
| svyglmuni | Univariable survey-weighted generalised linear models |
| variable_type | Determine type/class of a variable |
| wcgs | Western Collaborative Group Study |
