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An updated version of qwraps with a focus on flexibility and general purpose. These functions are helpful for extracting and formatting results from R into .Rnw or .Rmd files. Additional functions for routine work such as extracting results from regression models or finding sensitivity and specificity.

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dewittpe/qwraps2

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Project Status: Active – The project has reached a stable, usable state and is being actively developed.R-CMD-checkcodecov

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CRAN_Status_BadgeCRAN RStudio mirror downloadsCRAN RStudio mirror downloads

Licenseminimal R version

A collection of helpful functions for summarizing data and formatting results.These or similar functions can be found in other R packages on github.com oron CRAN. However, this is a collection of methods I have generated to help withparticular projects I have worked on over the last several years. Using myoriginalqwraps package as the foundation, this work is aimed at simplicityand ease of use.

Some of the tools provided byqwraps2 are:

  • Formatting results:

    • frmt,frmtci, andfrmtp make it easier to consistently format numericvalues, confidence intervals, and p-values in reports.
    • qable is a wrapper aroundknitr::kable with my preferred defaults.
    • summary_table is used to generate data summary tables in markdown or LaTeX
    • mean_ci,mean_sd,median_iqr,n_perc make it easy to report formattedsummary statistics.
  • Plotting:Tools for building specific types of plots inggplot2

    • qacf: Autocorrelation plots
    • qblandaltman: Bland Altman plots
    • qkmplot: Kaplan-Meier plots
    • qprc: Precision Recall Curves
    • qroc: Receiver Operator Curves
    • ggplot2_extract_legend: extract the legend from a ggplot.
  • R Programming and Development

    • lazyload_cache Load the cache generated by knitr into an interactivesession.
  • Other Tools:

    • confusion_matrix: building and generate statistics for confusion matrices.
    • logit andinvlogit: quick logit and inverse logit functions
    • ll: a variant forls()

Contribute!

If you have a particular task or function used for data summaries or forreporting that you think would be helpful to include in this package please forkthe repo, add the feature, and send me a pull request.

Building the package

Use the makefile. RStudio users, you will find aqwraps2.Rproj that will setthe default to use the makefile in the build. My preferred IDE isneovim with theNvim-R plug-in and I prefer to work on aDebian system. After cloning the repo, a simple call

make

will build the package. This includes generating man files viaroxygen2, building the vignettes,and then building the package viaR CMD build ..Passing arguments toR CMD build can be done too.For example, building the package without the vignettes is done via:

make build-options=--no-build-vignettes

Install

From CRAN

Download and install fromThe Comprehensive R Archive Network (CRAN).

install.packages("qwraps2", repo = "http://cran.rstudio.com")

Developmental

Install the development version ofqwraps2 directly from github via theremotes package:

if (!("remotes" %in% rownames(installed.packages()))) {  warning("installing remotes from https://cran.rstudio.com")  install.packages("remotes", repo = "https://cran.rstudio.com")}remotes::install_github("dewittpe/qwraps2", build_vignettes = TRUE)

NOTE: If you are working on a Windows machine you will need to download andinstallRtools.

Cloned repo

Install with GNUmake

make install

About

An updated version of qwraps with a focus on flexibility and general purpose. These functions are helpful for extracting and formatting results from R into .Rnw or .Rmd files. Additional functions for routine work such as extracting results from regression models or finding sensitivity and specificity.

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