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· 405 words. · 2 minute read.

Sharing my findings

With the current vocabulary, I will say that I am a “data scientist”, i.e. a scientist who plays with data. This website is my modest participation in sharing science… I write articles with R scripts in it, mapping and things related to marine science research and spatialized data modeling. There are also some Bayesian models, some achievements with R-shiny and other things to share…
Some scripts are supplemental material for my scientific publications,

Open-source projects

I have some personal open-source projects.
As a former researcher, I decided to share my R-scripts as R libraries. I cannot say these are proper libraries but at least the code is available. Have a look at the following packages:

  • SDMSelect: 1. Covariate selection procedures on GLM and GAM. 2. Species distribution modelling.
  • GeoDist: 1. Calculate distances between points when there are obstacles. 2. Modifications of {geoR} functions to allow for custom distances.

I also use Hugo for this website, which made me work on my own template:

Other projects are available on my Github account.

Who am I?

Deep inside, I am a scientist. Indeed, I have a master in agronomy and a PhD in marine biology. But data analysis and R diverted me a little from my original objectives. I left the world of marine biology research to join ThinkR. We do consultancy of all kinds but 100% with R. We also do training at all levels to R.
As a result, I continue to share my knowledge through trainings. And of course, I do data analysis and visualization. And I love it! I still play with maps and models. So that I still have some material for this blog where I can share my findings and other tips. Mainly on R of course!

Enjoy your reading!

Sébastien Rochette

3D representation of abundance predictions of Laminaria in Morlaix (France)

Figure 1: 3D representation of abundance predictions of Laminaria in Morlaix (France)

Jeff Leek, on simplystatistics.org

If every method in every stats journal was implemented in a corresponding R package (easy), was required to have a companion document that was a tutorial on how to use the software (easy), included a reference to how to cite the paper if you used the software (easy) and the paper/tutorial was posted to the relevant message boards for the communities of interest (easy) that journal would see a dramatic bump in its impact factor.