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Materials of the presentation are available here.

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Join our R working sessions in Grenoble

Each month, we will organize one working session of 2 hours (on thursdays, from 16h-18h, at the IMAG building).

Please find the guidelines for these sessions:

Schedule of 2018-2019

Click on the title to see the session description

September 13, 2018
What R can do for you
F. Privé
    In this presentation, we will see the potential amazing applications of R. Then, we will compile links to where you can learn R (from scratch or to become more advanced). Finally, we will announce the coming sessions for this academic year.
October 18, 2018
Image processing with package {imager}
S. Barthelmé
    imager is an R package for image processing. It is meant to be fast, flexible and to integrate well with standard R functions and data structures. imager is based on CImg, a C++ library for image processing with a clean and easy-to-use API.
November 15, 2018
Linear models in R
M. Blum
    During this presentation I will present the lm and glm functions for handling linear models with R. I will show how to make analysis with linear models using an original dataset containing the result of the French presidential 2017 election as well as socio-economic variables.
December 06, 2018
Manage your workflow with package {drake}
X. Laviron
    Drake is a general-purpose workflow manager for data-driven tasks. It rebuilds intermediate data objects when their dependencies change, and it skips work when the results are already up to date. Not every runthrough starts from scratch, and completed workflows have tangible evidence of reproducibility. Package drake also supports scalability, parallel computing, and a smooth user experience when it comes to setting up, deploying, and maintaining data science projects.
January 31, 2019
Deep Learning with package {tensorflow}
O. François & ?
February 14, 2019
Machine Learning with package {caret}
? & ?
March 14, 2019
Best coding practices
M. Richard & ?
April 11, 2019
R Markdown
J. Arbel & F. Privé
May 16, 2019
Data manipulation with package {dplyr}
M. Blum & M. Rolland
June 13, 2019
Data vizualisation with package {ggplot2}
M. Rolland & F. Privé

Materials from previous sessions