R Package design and development and reproducible data science for biologists - FREE ACCOMMODATION

grant-humphriesGrant RW Humphries
  • 9 Aug '19

COURSE ON - R Package design and development and reproducible data science for biologists (RPKG01) with free accommodation.

PR statistics now has a new accommodation option implemented allowing a limited amount of places with free accommodation. The next 5 people to register for this course will receive free accommodation if they require it (this does not apply to people working in industry).


Please email oliverhooker@prstatistics.com with inquiries

This course will be delivered by Dr. Cory Merow and Dr Andy Rominger from the 16th - 20th September 2019 in Glasgow City Centre.

Course overview: This course will help students develop professional R coding skills by leading them through the process of making reproducible, sharable and easily communicated software centered around developing fully functional R packages and extensions and is thus applicable to any biologists working in the field of sea birdss. In addition to teaching traditional uses of R packages to share quantitative tools, we’ll also show how R packages can be easily developed for individual research projects to share reproducible results. To develop skills, we’ll build several R packages full of useful and general utility functions that will hone coding skills and teach coding tips through the design of these functions. Each day, we’ll reserve time for open work sessions where students can receive mentoring while applying new skills to developing their own application specific package or refining the packages we’re developing for the course.

Intended Audience: Anyone wanting to make their data science work accessible, reproducible and usable by others (the importance of specific R packages has grown considerable now that they are frequently cited in peer reviewed literature). This can include researches developing their own quantitative tools or those interested in taking the next step in making their research projects fully reproducible and easily shared.

Course program:

Monday 16th – Classes from 09:30 to 17:30 We’ll begin with polishing core skills in the creation, documentation and distribution of code: Writing functions Making your code reproducible by documenting it with RMarkdown and ROxygen Making your first package, breaking it, then fixing it Package structure

Tuesday 17th – Classes from 09:30 to 17:30 Next we dive into specifics critical for the success of collaborative, reproducible and sharable projects: Principles of software development and reproducible projects Writing useful documentation and examples Error handling Collaboration with git and GitHub

Wednesday 18th – Classes from 09:30 to 17:30 We will continue learning about the details that help to make a package robust to different use cases: Dependencies, and achieving independency Unit Testing Vignettes The rules of CRAN and GitHub

Thursday 19th – Classes from 09:30 to 17:30 By now students will have fulling functioning, collaboratively produced, and reproducible R packages. We now turn to two key aspects of software usability: its computational burden, and its cognitive burden. Put simply, we will focus today on making code computationally fast and easy for users to quickly and intuitively understand. Writing fast code Profiling code for speed S3 and S4 objects

Friday 20th – Classes from 09:30 to 16:00 On the final day we will culminate our software development by learning and implementing powerful ways to share our projects with a large audience. Adding a shiny web app to a project Publishing your own package

Email oliverhooker@prstatistics.com

Check out our sister sites, www.PRstatistics.com (Ecology and Life Sciences) www.PRstatistics.com/consultancy (Statistical and bioinformatics consultancy in all fields) www.PRinformatics.com (Bioinformatics and data science) www.PSstatistics.com (Behaviour and cognition)

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September 9th – 13th 2019 GENERALISED LINEAR (MIXED) (GLMM), NONLINEAR (NLGLM) AND GENERAL ADDITIVE MODELS (MIXED) (GAMM) (GNAM01) Glasgow, Scotland, Dr. Mark Andrews https://www.psstatistics.com/course/generalised-linear-glm-nonlinear-nlglm-and-general-additive-models-gam-gnam01/

September 16th – 20th 2019 STRUCTURAL EQUATION MODELS, PATH ANALYSIS, CAUSAL MODELLING AND LATENT VARIABLE MODELS USING R (SMPA01) Glasgow, Scotland, Dr. Mark Andrews https://www.psstatistics.com/course/structural-equation-modelling-and-path-analysis-smpa01/

September 16th – 20th 2019 R PACKAGE DESIGN AND DEVELOPMENT AND REPRODUCIBLE DATA SCIENCE FOR BIOLOGISTS (RPKG01) Glasgow, Scotland, Dr. Cory Merow, Dr. Andy Rominger https://www.prstatistics.com/course/r-package-design-and-development-and-reproducible-data-science-for-biologists-rpkg01/

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September 30th – October 4th 2019 INTRODUCTION TO LINUX WORKFLOWS FOR BIOLOGISTS (IBUL04) Glasgow, Scotland, Dr Martin Jones https://www.prinformatics.com/course/introduction-to-linux-workflows-for-biologists-ibul04/

October 7th – 11th 2019 CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01) Athens, GREECE, Dr Richard Schuster and Nina Morell https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/

October 14th – 18th 2019 GEOMETRIC MORPHOMETRICS USING R (GMMR02) Glasgow, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr02/

October 14th – 18th 2019 INTRODUCTION TO BEHAVIOURAL DATA ANALYSIS USINR R (IBDA01) Glasgow, Scotland, Dr Will Hoppitt https://www.psstatistics.com/course/introduction-to-behavioural-data-analysis-using-r-ibda01/

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