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overdue & !assigned to: other, today & !assigned to: other: Todoist

Google Calendar - Week of October 27, 2019

Fri, 25 October - TMetric

Manning | Beyond Spreadsheets with R

Chapter 10: Doing more with your data with extensions - Beyond Spreadsheets with R

Chapter 8: Doing things conditionally: Control structures - Beyond Spreadsheets with R

Chapter 10: Doing more with your data with extensions - Beyond Spreadsheets with R

kevinushey/rex: Friendly regular expressions for R.

Building a Shiny App for Cycling in Ottawa | Will Hipson

Practical Data Science with R 2nd Edition update – Win-Vector Blog

Manning | Practical Data Science with R, Second Edition

4 Managing data - Practical Data Science with R, Second Edition MEAP V06

vtreat Cross Validation – Win-Vector Blog

The Shape of Code » Reliability chapter added to “Empirical software engineering using R”

Evidence-based Software Engineering: based on the publicly available data

Evidence-based Software Engineering: based on the publicly available data

Derek-Jones/ESEUR-code-data: Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"

5½ Reasons to Ditch Spreadsheets for Data Science: Code is Poetry | The Lucid Manager

cabinets.pdf

Getting started with tibbleOne

cohorttools.pdf

Introduction to renv

moodymudskipper/fastpipe: A fast pipe implementation

A short introduction to drake

Practical Data Science with R Book Update (April 2019) – Win-Vector Blog

A DevOps Process for Deploying R to Production (Revolutions)

Some of My JS Tricks to Enhance the HTML Output of Markdown - Yihui Xie | 谢益辉

The Two Surprisingly Hard Things about the Otherwise Simple Markdown - Writing three backticks verbatim, and understanding nested lists - Yihui Xie | 谢益辉

Things are Getting Better and Better - Keep calm and carry on - Yihui Xie | 谢益辉

Winners Take All in the Dependency World (or Hell) - Yihui Xie | 谢益辉

Break up with Excel: Intro and Advanced R Data Science Courses at MSACL.org Salzburg Austria, September 21–23, 2019 | The Lab-R-torian

RMarkdown Template that Manages Academic Affiliations – docx or PDF output | The Lab-R-torian

Building Data Science Infrastructure at an Enterprise Level with RStudio and ProCogia | RStudio Blog

Fall & Winter Workshop Roundup | RStudio Blog

Episode 31: Data Science education with R

Database like software for local use : softwaredevelopment

How to start a side project? : softwaredevelopment

Becoming my own project manager in a way. Any good resources that could help? : softwaredevelopment

Book for Designing Software : softwaredevelopment

Blog - Appsilon Data Science | End to End Data Science Solutions

Blog - Keep up to date with latest data science developments

The data analysis blog from eoda

mstaniak/autoEDA-resources: A list of software and papers related to automatic and fast Exploratory Data Analysis

https://www.stat.ubc.ca/~jenny/STAT545A/block19_codeFormattingOrganization.html#organization

https://www.stat.ubc.ca/~jenny/STAT545A/block01_basicsWorkspaceWorkingDirProject.html#workspace-and-working-directory

Good Programming Practices: Creating Robust Programs

emacs - ESS workflow for R project/package development - Stack Overflow

r - Workflow for statistical analysis and report writing - Stack Overflow

Reproducible Research and R Workflow - Melboure R Users Group (melbURN)

Workflow in R | Rob J Hyndman

r - Workflow for statistical analysis and report writing - Stack Overflow

jeromyanglim (Jeromy Anglim) / Repositories

jeromyanglim/AnglimModifiedProjectTemplate: A few customisations to the default configuration of ProjectTemplate that I use when starting a new data analysis project

Customising ProjectTemplate in R

references - Complete substantive examples of reproducible research using R - Cross Validated

r - Workflow for statistical analysis and report writing - Stack Overflow

rOpenSci

rstudio/rticles: LaTeX Journal Article Templates for R Markdown

yihui/rlp: An Example of Using Literate Programming for R Package Development

Reproducibility Guide

Reproducibility Guide

Welcome · Advanced R.

klmr/example-r-analysis: An example for an R analysis workflow using a Makefile, shell scripts and Knitr

r - How does software development compare with statistical programming/analysis? - Stack Overflow

Software development - Wikipedia

package - How to organize large R programs? - Stack Overflow

R-exts.pdf

R Internals

Writing an R package from scratch | Not So Standard Deviations

Introduction · R packages

Karl Broman

Microarrays suck | The stupidest thing...

f0nzie (Alfonso R. Reyes)

f0nzie/keras_and_shiny-tutorial: Demonstration on how to build a Shiny project using rsuite

f0nzie/moderndive-book-rsuite: "Statistical Inference via Data Science in R" ebook by Chester Ismay and Albert Y. Kim

Fundamentals of Data Visualization

Amazon.com: Software for Data Analysis: Programming with R (Statistics and Computing) (9780387759357): John M. Chambers: Books

Amazon.com: Extending R (Chapman & Hall/CRC The R Series) (9781498775717): John M. Chambers: Books

The R Software: Fundamentals of Programming and Statistical Analysis (Statistics and Computing): Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet: 9781461490197: Amazon.com: Books

Amazon.com: Big Data at Work: Dispelling the Myths, Uncovering the Opportunities (8601411221897): Thomas H. Davenport: Books

Amazon.com: The R Book 2Nd Edition (9788126569717): Michael J. Crawley: Books

Amazon.com: Hands-On Programming with R: Write Your Own Functions and Simulations (9781449359010): Garrett Grolemund, Hadley Wickham: Books

A Quick Guide to Organizing Computational Biology Projects

Ten Simple Rules for Reproducible Computational Research