Short tutorial for learning R in a friendly-environment with Rstudio (available in french only)
Created for students who want to learn basis of R programming.
Just for fun
References
Douglas Bates, Martin Maechler, Ben Bolker, Steve Walker (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1), 1-48. doi:10.18637/jss.v067.i01.
Laercio Junio da Silva (2010). laercio: Duncan test, Tukey test and Scott-Knott test.. R package version 1.0-1. https://CRAN.R-project.org/package=laercio
Patrick Giraudoux (2017). pgirmess: Data Analysis in Ecology. R package version 1.6.7. https://CRAN.R-project.org/package=pgirmess
Pinheiro J, Bates D, DebRoy S, Sarkar D and R Core Team (2017). nlme: Linear and Nonlinear Mixed Effects Models. R package version 3.1-131, <URL: https://CRAN.R-project.org/package=nlme>.
R Core Team (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
Seongho Kim (2015). ppcor: Partial and Semi-Partial (Part) Correlation. R package version 1.1. https://CRAN.R-project.org/package=ppcor
Taiyun Wei and Viliam Simko (2017). R package "corrplot": Visualization of a Correlation Matrix (Version 0.84). Available from https://github.com/taiyun/corrplot
Torsten Hothorn, Frank Bretz and Peter Westfall (2008). Simultaneous Inference in General Parametric Models. Biometrical Journal 50(3), 346--363.
Venables, W. N. & Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth Edition. Springer, New York. ISBN 0-387-95457-0