No Clocks

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

A reader recently pointed me toward a short video titled “A Continuous Shape.” It profiles Anna Rubincam, a stone carver from South London who works...

At the very beginning of David Allen’s recorded lecture, Getting Things Done Fast, he tells his audience that the most important but single most difficult

Engineering Production-Grade Shiny Apps — To be published in the R Series in 2020. - ThinkR-open/engineering-shiny-book

I was serious, you don't need to be a SQL expert to work with Databases through R

R package :package: for labelling chunks of RMarkdown files! :boom: - lockedata/namer

A workflow for refactoring one-time analyses to sustainable data products

Best practices for staying organized to promote reproducibility

An RStudio addin providing shortcuts for writing in Markdown. This package provides a series of functions that allow the user to be more efficient when using Markdown. For example, you can select a word, and put it in bold or in italics, or change the alignment of elements inside you Rmd. The idea is to map all the functionalities from remedy on keyboard shortcuts, so that it provides an interface close to what you can find in any other text editor.

R package containing a collection of Rmarkdown templates - Pakillo/rmdTemplates

Automated checking of best practices for research compendia ✔️ - ropenscilabs/checkers

Lightweight infrastructure to handle multiple rmarkdown reports - reconhub/reportfactory

Improving the track changes and reviewing experience in R markdown - ropenscilabs/reviewer

Build And Highlight Package Documentation With Customized Templates - ThinkR-open/chameleon

Tools to deal with dependencies in scripts, Rmd and packages - ThinkR-open/attachment

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...

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.

Learn step-by-step how to built a wedding risk model Shiny app.

As organizations grow and mature, so does the organization’s data. Eventually, the data may become too ‘big’ or too complicated for…

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 …

This is official open data science training for the Ocean Health Index.

This book showcases short, practical examples of lesser-known tips and tricks to helps users get the most out of these tools. After reading this book, you will understand how R Markdown documents are transformed from plain text and how you may customize nearly every step of this processing. For example, you will learn how to dynamically create content from R code, reference code in other documents or chunks, control the formatting with customer templates, fine-tune how your code is processed, and incorporate multiple languages into your analysis.

This guide walks through the process of developing an R package