10.3 Other packages for creating tables
There are many other R packages that can be used to generate tables. The main reason that I introduced
kable() (Section 10.1) and kableExtra (Section 10.2) is not that they are better than other packages, but because I’m familiar with only them.14 Next I will list the packages that I’m aware of but not very familiar with. You can check them out by yourself, and decide which one fits your purpose best.
flextable (Gohel 2020a) and huxtable (Hugh-Jones 2020): If you are looking for a table package that supports the widest range of output formats, flextable and huxtable are probably the two best choices. They all support HTML, LaTeX, and Office formats, and contain most common table features (e.g., conditional formatting). More information about flextable can be found at https://davidgohel.github.io/flextable/, and the documentation of huxtable is at https://hughjonesd.github.io/huxtable/.
gt (Iannone, Cheng, and Schloerke 2020): Allows you to compose a table by putting together different parts of the table, such as the table header (title and subtitle), the column labels, the table body, row group labels, and the table footer. Some parts are optional. You can also format numbers and add background shading to cells. Currently gt mainly supports HTML output.15 You can find more information about it at https://gt.rstudio.com.
formattable (Ren and Russell 2016): Provides some utility functions to format numbers (e.g.,
accounting()), and also functions to style table columns (e.g., format the text, annotate numbers with background shading or color bars, or add icons in cells). Like gt, this package also primarily supports the HTML format. You can find more information about it from its GitHub project at https://github.com/renkun-ken/formattable.
pixiedust (Nutter 2020): Features creating tables for models (such as linear models) converted through the broom package (Robinson, Hayes, and Couch 2020). It supports Markdown, HTML, and LaTeX output formats. Its repository is at https://github.com/nutterb/pixiedust.
xtable (Dahl et al. 2019): Perhaps the oldest package for creating tables—the first release was made in 2000. It supports both LaTeX and HTML formats. The package is available on CRAN at https://cran.r-project.org/package=xtable.
I’m not going to introduce the rest of packages, but will just list them here: tables (Murdoch 2020), pander (Daróczi and Tsegelskyi 2018), tangram (Garbett 2020), ztable (Moon 2018), and condformat (Oller Moreno 2020).
Dahl, David B., David Scott, Charles Roosen, Arni Magnusson, and Jonathan Swinton. 2019. Xtable: Export Tables to Latex or Html. http://xtable.r-forge.r-project.org/.
Daróczi, Gergely, and Roman Tsegelskyi. 2018. Pander: An R Pandoc Writer. http://rapporter.github.io/pander.
Garbett, Shawn. 2020. Tangram: The Grammar of Tables. https://github.com/spgarbet/tangram.
Gohel, David. 2020a. Flextable: Functions for Tabular Reporting. https://davidgohel.github.io/flextable/.
Hlavac, Marek. 2018. Stargazer: Well-Formatted Regression and Summary Statistics Tables. https://CRAN.R-project.org/package=stargazer.
Hugh-Jones, David. 2020. Huxtable: Easily Create and Style Tables for Latex, Html and Other Formats. https://hughjonesd.github.io/huxtable.
Iannone, Richard, Joe Cheng, and Barret Schloerke. 2020. Gt: Easily Create Presentation-Ready Display Tables. https://github.com/rstudio/gt.
Lin, Greg. 2020. Reactable: Interactive Data Tables Based on React Table. https://CRAN.R-project.org/package=reactable.
Moon, Keon-Woong. 2018. Ztable: Zebra-Striped Tables in Latex and Html Formats. http://github.com/cardiomoon/ztable.
Murdoch, Duncan. 2020. Tables: Formula-Driven Table Generation. https://r-forge.r-project.org/projects/tables/.
Nutter, Benjamin. 2020. Pixiedust: Tables so Beautifully Fine-Tuned You Will Believe It’s Magic. https://github.com/nutterb/pixiedust.
Oller Moreno, Sergio. 2020. Condformat: Conditional Formatting in Data Frames. http://github.com/zeehio/condformat.
Owen, Jonathan. 2018. Rhandsontable: Interface to the Handsontable.js Library. http://jrowen.github.io/rhandsontable/.
Ren, Kun, and Kenton Russell. 2016. Formattable: Create Formattable Data Structures. https://CRAN.R-project.org/package=formattable.
Robinson, David, Alex Hayes, and Simon Couch. 2020. Broom: Convert Statistical Objects into Tidy Tibbles. https://CRAN.R-project.org/package=broom.
Frankly speaking, I rarely use tables by myself, so I’m not highly motivated to learn how to create sophisticated tables.↩︎
If you need the support for other output formats such as LaTeX and Word, the gtsummary package (Sjoberg et al. 2020) has made some extensions based on gt that look very promising: https://github.com/ddsjoberg/gtsummary.↩︎