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MECCSA-CCES  September 2019

MECCSA-CCES September 2019

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Subject:

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

From:

Oliver Hooker <[log in to unmask]>

Reply-To:

Oliver Hooker <[log in to unmask]>

Date:

Wed, 4 Sep 2019 19:39:13 +0100

Content-Type:

text/plain

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text/plain (194 lines)

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).

https://www.prstatistics.com/course/r-package-design-and-development-and-reproducible-data-science-for-biologists-rpkg01/

Please email [log in to unmask] 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 marine mammals. 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 [log in to unmask]

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)

1. September 2nd – 6th 2019
APPLIED METHODS FOR ANALYSING CAPTURE-RECAPTURE (MARK-RECAPTURE) DATA
USING SPATIALLY EXPLICIT AND NON-SPATIAL TECHNIQUES (MARK01)
Glasgow, Scotland, Dr. Joanne Potts, Dr. David Borchers
https://www.prstatistics.com/course/applied-methods-for-analysing-capture-recapture-mark-recapture-data-using-spatially-explicit-and-non-spatial-techniques-mark01/

2. 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/

3. 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/

4. 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/

5. September 23rd – 27th 2019
PYTHON FOR DATA SCIENCE, MACHINE LEARNING, AND SCIENTIFIC COMPUTING (PDMS01)
Glasgow, Scotland, Dr. Mark Andrews
https://www.psstatistics.com/course/python-for-data-science-machine-learning-and-scientific-computing-pdms01/

6. September 30th – October 4th 2019
THE PRACTICE OF RADSEQ: POPULATION GENOMICS ANALYSIS WITH STACKS (RDSQ01)
Glasgow, Scotland, Dr Julien Catchen
https://www.prinformatics.com/course/the-practice-of-radseq-population-genomics-analysis-with-stacks-rdsq01/

7. 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/

8. 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/

9. 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/

10. 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/

11. October 21st – 25th 2019
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE (VGNR01)
Glasgow, Scotland, Dr. Guillaume Blanchet
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr01/

12. November 4th – 8th 2019
INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL
SCIENCES USING R AND STAN (BDRS02)
Glasgow, Scotland, Dr. Mark Andrews
https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs02/

13. November 4th – 8th 2019
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKELIHOOD (BDML02)
Glasgow, Scotland, Dr Will Hoppitt
https://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-likelihood-bdml02/

14. November 11th – 15th 2019
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME05)
Glasgow, Scotland, Dr Matt Denwood, Emma Howard
https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme05/

15. November 18th – 22nd 2019
INTRODUCTION TO STRUCTURED POPULATION MODELS AND DEMOGRAPHIC
DISTRIBUTION MODELS (IIPM01)
Athens, GREECE, Dr Cory Merow
https://www.prstatistics.com/course/introduction-to-structured-population-models-and-demographic-distribution-models-iipm01/

16. November 18th – 22nd 2019
GEOSTATISTICS – HANDLING SPATIAL AND SPATIAL-TEMPORAL DATA USING R (GSFE01)
Wimmipeg, CANADA, Dr Guillaume Blanchet
https://www.prstatistics.com/course/geostatistics-handling-spatial-and-spatial-temporal-data-using-r-gsfe01/

17. November 25th – 29th 2019
ADVANCED RANGE, NICHE, AND DISTRIBUTION MODELING (ASDM01)
Athens, GREECE, Dr Cory Merow
https://www.prstatistics.com/course/advanced-range-niche-and-distribution-modeling-asdm01/

18. January 20th – 24th2020
R4ALL – INTRODUCTION TO R (R4ALL
Glasgow, Scotland, Dr Andrew Beckerman, Dr. Dylan Childs
https://www.prstatistics.com/course/population-genetics-inference-with-migrate-pgmg01/

19. March 16th – 20th 2020
POPULATION GENETICS INFERENCE WITH ‘MIGRATE’ (PGMG01)
Glasgow, Scotland, Prof. Peter Beerli
https://www.prstatistics.com/course/population-genetics-inference-with-migrate-pgmg01/

20. May 11th – 15th 2020
FORMALIZING UNCERTAINTY: FUZZY LOGIC IN SPECIES DISTRIBUTION AND
DIVERSITY PATTERNS (FLDM01)
Glasgow, Scotland, Dr. Marcia Barbosa
https://www.prstatistics.com/course/formalizing-uncertainty-fuzzy-logic-in-species-distribution-and-diversity-patterns-fldm01/

21. May 18th – 22nd 2020
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck, Dr. Jim (james) Grace
https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/

22. October 5th – 9th 2020
ECOLOGICAL NICHE MODELLING USING R (ENMR04)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr04/

23. October 11th – 16th 2020
ADVANCED ECOLOGICAL NICHE MODELLING USING R (ABNMR01)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/advanced-ecological-niche-modelling-using-r-anmr01/

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