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I write about self-development and performance improving. I share lessons and thoughts weekly here and to my popular newsletter – The Monday Digest.

Strategy and productivity. What to do, and how to actually get it done.

Study David Allen's classic productivity book Getting Things Done® with Evernote Certified Consultant Stacey Harmon

I’ve been asked more and more for hints and best practices when working with R. It can be a daunting task, depending on how deep or specialised you want to be. So I tried to keep it as balanced as I could and mentioned point that definitely helped me in...

The stuff you need to know about R, besides statistical analysis.

Online syntax highlighting for more than 100 languages, including C#, Java, PHP, Basic, Perl, Python, Pascal, SQL, JavaScript and others including rare and obscure ones!.

Welcome! Together we're going to train you to be more productive, one step at a time.

Writing R Extensions covers how to create your own packages, write R help files, and the foreign language (C, C++, Fortran, …) interfaces.

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DASE Data Analysis in Software Engineering

In 2019, RStudio spent over 50% of its engineering resources on open-source software, and led contributions to over 250 open-source projects, targeting a broad range of areas.

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This is a workshop for RStudio::conf(2020) in San Francisco, California

This guide walks through the process of developing an R package

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A guide to authoring books with R Markdown, including how to generate figures and tables, and insert cross-references, citations, HTML widgets, and Shiny apps in R Markdown. The book can be exported to HTML, PDF, and e-books (e.g. EPUB). The book style is customizable. You can easily write and preview the book in RStudio IDE or other editors, and host the book wherever you want (e.g. bookdown.org).

INSIGHTS Additional resources for the Getting Things Done® Workbook Please note: If you do not see the video player, you will need to change your preferences to allow statistics cookies. The 5 Steps of GTD® OPEN Step 1: Capture OPEN Step 2: Clarify OPEN Step 3: Organize OPEN Step 4: Reflect OPEN Step 5: Engage […]

A guide to building scalable Shiny Datbase applications

This is an example of writing an R package using the Literate Programming (LP) technique, implemented through the knitr package and Makefile. It only shows you the idea, and I do not mean you must use …