{"Package":"finalfit","Type":"Package","Title":"Quickly Create Elegant Regression Results Tables and Plots when\nModelling","Version":"1.0.8","Authors@R":"c(\nperson(given = \"Ewen\", family = \"Harrison\", role = c(\"aut\", \"cre\"), email = \"ewen.harrison@ed.ac.uk\"),\nperson(given = \"Tom\", family = \"Drake\", role = c(\"aut\")),\nperson(given = \"Riinu\", family = \"Pius\", role = c(\"aut\")))","Maintainer":"Ewen Harrison ","Description":"Generate regression results tables and plots in final\nformat for publication. Explore models and export directly to PDF\nand 'Word' using 'RMarkdown'.","License":"MIT + file LICENCE","Encoding":"UTF-8","LazyData":"true","BugReports":"https://github.com/ewenharrison/finalfit/issues","URL":"https://github.com/ewenharrison/finalfit","Imports":"bdsmatrix, boot, broom, dplyr, forcats, GGally, ggplot2, grid,\ngridExtra, lme4, magrittr, mice, pillar, pROC, purrr, scales,\nstats, stringr, survival, tidyr (>= 1.0.0),","RoxygenNote":"7.2.3","Suggests":"cmprsk, coxme, Hmisc, knitr, lmtest, readr, rlang, rmarkdown,\nrstan, sandwich, survey, survminer, testthat, tibble","VignetteBuilder":"knitr","NeedsCompilation":"no","Packaged":"2024-07-24 14:49:58 UTC; eharrison","Author":"Ewen Harrison [aut, cre],\nTom Drake [aut],\nRiinu Pius [aut]","Repository":"CRAN","Date/Publication":"2024-07-24 15:20:01 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/finalfit_1.0.8.tar.gz","jsonAuthors":[{"name":"Ewen Harrison","email":"ewen.harrison@ed.ac.uk","maintainer":true},{"name":"Tom Drake","email":null,"maintainer":false},{"name":"Riinu Pius","email":null,"maintainer":false}],"readme":"[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/finalfit)](https://cran.r-project.org/package=finalfit)\n[![CRAN_Status_Badge](https://cranlogs.r-pkg.org/badges/finalfit)](https://cran.r-project.org/package=finalfit)\n[![CRAN_Status_Badge](https://cranlogs.r-pkg.org/badges/grand-total/finalfit)](https://cranlogs.r-pkg.org/badges/grand-total/finalfit)\n[![TravisCRAN_Status_Badge](https://api.travis-ci.com/ewenharrison/finalfit.svg?branch=master)](https://app.travis-ci.com/github/ewenharrison/finalfit)\n[![Build status](https://ci.appveyor.com/api/projects/status/3wpgw2rs6vn1lsrn?svg=true)](https://ci.appveyor.com/project/ewenharrison/finalfit)\n[![Coverage status](https://codecov.io/gh/ewenharrison/finalfit/branch/master/graph/badge.svg)](https://app.codecov.io/github/ewenharrison/finalfit?branch=master)\n\nfinalfit

\n==============================\n\n\nThe `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. \n\nIts design follows Hadley Wickham's [tidy tool manifesto](https://tidyverse.tidyverse.org/articles/manifesto.html).\n\nIn addition, it provides functions for identifying and handling missing data, together with a number of functions to bootstrap simulate regression model results. \n\n## Installation\n\nYou can install `finalfit` from CRAN:\n\n``` r\ninstall.packages(\"finalfit\")\n```\n\nIt is recommended that this package is used together with `dplyr` which can be installed via:\n\n``` r\ninstall.packages(\"dplyr\")\n```\n\n## Documentation\n\nThe package documentation is maintained independently at [finalfit.org](https://finalfit.org/). \n\n## Examples\n\nSee [Get started](https://finalfit.org/articles/finalfit.html) and the [All tables](https://finalfit.org/articles/all_tables_examples.html) vignettes for extensive examples. \n\n### Crosstable / table 1\n\n``` r\n# Crosstable \nexplanatory = c(\"age.factor\", \"sex.factor\", \"obstruct.factor\")\ndependent = 'mort_5yr'\ncolon_s %>%\n summary_factorlist(dependent, explanatory, \n p=TRUE, add_dependent_label=TRUE) -> t1\nknitr::kable(t1, align=c(\"l\", \"l\", \"r\", \"r\", \"r\"))\n```\n\n $\"\"$ \n\n### Regression table\n\n``` r\nexplanatory = c(\"age.factor\", \"sex.factor\", \n \"obstruct.factor\", \"perfor.factor\")\ndependent = 'mort_5yr'\ncolon_s %>%\n finalfit(dependent, explanatory, metrics=TRUE) -> t2\nknitr::kable(t2[[1]], row.names=FALSE, align=c(\"l\", \"l\", \"r\", \"r\", \"r\", \"r\"))\nknitr::kable(t2[[2]], row.names=FALSE, col.names=\"\")\n```\n\nWhen exported to PDF:\n\n $\"\"$ \n\n $\"\"$ \n\n### Regression plots\n\n``` r\nexplanatory = c(\"age.factor\", \"sex.factor\", \n \"obstruct.factor\", \"perfor.factor\")\ndependent = 'mort_5yr'\ncolon_s %>%\n or_plot(dependent, explanatory)\n```\n\n $\"\"$ ","jobInfo":{"package":"finalfit","version":"1.0.8","parsingStatus":"success","parserVersion":2,"parsedAt":"2024-07-24T17:30:09+0000"}}

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