Some very useful packages

Page under construction. If you found a very useful package that you wish to share, please send me an email.

The LinkedIn page R posts you might have missed! regularly share useful packages and blog posts. It's a good way to keep pace with tools aiming to make R easier.

They also provide newsletters (see here).

Twitter accounts and # may also provide some useful tips. For example: TidyTuesday#, TidyTuesdayBot, @rfunctionaday.

For DataViz, Cedric Scherer's website provides beautiful charts and very useful tips.

Packages for data handling

    • Tidyverse packages: The tidyverse is a collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures. It makes it possible to create consistent and comprehensive data analysis without importing additional packages.

    • Tidylog: Displays information about the results of tidyverse codes. Very useful to know what the code did, without manually looking for the information. For example, it displays the number of created N.A. after any mutate operation.

Packages for descriptive statistics

    • gtsummary: The {gtsummary} package provides an elegant and flexible way to create publication-ready analytical and summary tables using the R programming language. It especially automates the production of descriptive statistics tables.

    • easystats: easystats is a collection of R packages, which aims to provide a unifying and consistent framework to tame, discipline, and harness the scary R statistics and their pesky models.

Packages for DataViz

    • GGplot2: ggplot2 is a comprehensive approach to DataViz. Example of beautiful graphics can be found on the ggplot2 gallery website.

    • ggstatplot: ggstatsplot is an extension of ggplot2 package for creating graphics with details from statistical tests included in the information-rich plots themselves.

    • GGally: GGally extends ggplot2 by adding several functions to reduce the complexity of combining geoms with transformed data.

    • ggpubr: The ‘ggpubr’ package provides some easy-to-use functions for creating and customizing ‘ggplot2’- based publication ready plots.

    • hbrthemes: A compilation of extra 'ggplot2' themes, scales and utilities, including a spell check function for plot label fields and an overall emphasis on typography.

    • forestplot: Forest plots date back to 1970s and are most frequently seen in meta-analysis, but are in no way restricted to these.

Packages for exporting tables

To Latex

To MS Word