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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
