finalfit.org
Open in
urlscan Pro
185.199.109.153
Public Scan
Submitted URL: http://finalfit.org/
Effective URL: https://finalfit.org/
Submission Tags: @phish_report
Submission: On January 01 via api from FI — Scanned from FI
Effective URL: https://finalfit.org/
Submission Tags: @phish_report
Submission: On January 01 via api from FI — Scanned from FI
Form analysis
0 forms found in the DOMText Content
Toggle navigation finalfit 1.0.7 * Get started * Reference * Articles * All plots examples * All tables examples * Bootstrap simulation for model prediction * Preparing data for finalfit * Exporting tables and plots * Missing data * Time-to-event (Survival) * Changelog * FINALFIT The finalfit package provides functions that help you quickly create elegant final results tables and plots when modelling in R. These can easily be exported as Word documents, PDFs, or html files. Its design follows Hadley Wickham’s tidy tool manifesto. In addition, it provides functions for identifying and handling missing data, together with a number of functions to bootstrap simulate regression model results. INSTALLATION You can install finalfit from CRAN: install.packages("finalfit") It is recommended that this package is used together with dplyr which can be installed via: install.packages("dplyr") DOCUMENTATION The package documentation is maintained independently at finalfit.org. EXAMPLES See getting started and the All tables vignettes for extensive examples. CROSSTABLE / TABLE 1 # Crosstable explanatory = c("age.factor", "sex.factor", "obstruct.factor") dependent = 'mort_5yr' colon_s %>% summary_factorlist(dependent, explanatory, p=TRUE, add_dependent_label=TRUE) -> t1 knitr::kable(t1, align=c("l", "l", "r", "r", "r")) REGRESSION TABLE explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor") dependent = 'mort_5yr' colon_s %>% finalfit(dependent, explanatory, metrics=TRUE) -> t2 knitr::kable(t2[[1]], row.names=FALSE, align=c("l", "l", "r", "r", "r", "r")) knitr::kable(t2[[2]], row.names=FALSE, col.names="") When exported to PDF: REGRESSION PLOTS explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor") dependent = 'mort_5yr' colon_s %>% or_plot(dependent, explanatory) LINKS * View on CRAN * Browse source code * Report a bug LICENSE * MIT + file LICENCE CITATION * Citing finalfit DEVELOPERS * Ewen Harrison Author, maintainer * Tom Drake Author * Riinu Pius Author DEV STATUS * * * * * * Developed by Ewen Harrison, Tom Drake, Riinu Pius. Site built with pkgdown 2.0.6.