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wiki:r [2018/06/06 12:24] (current)
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 +====== The R Project for Statistical Computing ======
 +[[http://​www.r-project.org|R]] is a language and environment for statistical computing and graphics. It is a [[http://​www.gnu.org/​|GNU]] project and provides a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification,​ clustering, ...) and graphical techniques, and is highly extensible. R language and environment is shared by a large community in science and geomatic professionals and is often the vehicle of choice for research in statistical methodology. R provides an Open Source route to participation in spatial analysis and ecological modeling.
 +
 +In this part of the wiki-training site we provide various sections: ​
 +===== R Lectures =====
 +[[http://​www.spatial-ecology.net/​ost4sem/​lecture/​R_intro_speco.pdf | download]] or open it from your VM @: ~/​ost4sem/​lecture/​r_intro_speco.pdf\\
 +
 +===== R Tutorials =====
 +  * [[ basicrMarkdownTEST | Starting with R - MarkdownTEST ]]
 +  * [[ basicrMarkdown | Starting with R - Markdown ]] 
 +  * [[ basicr | Starting with R - wiki]] [[http://​www.spatial-ecology.net/​ost4sem/​exercise/​basic_adv_r/​basic_r.R ​ | download script]] or  ~/​ost4sem/​exercise/​basic\_adv\_r/​basic\_r.R
 +  * [[installpkage |Installing a new package - wiki]] [[http://​www.spatial-ecology.net/​ost4sem/​exercise/​basic_adv_r/​install_packages.R |download script]] or ~/​ost4sem/​exercise/​basic\_adv\_r/​install\_packages.R
 +  * [[loopsr|Create a script, ifelse condition, loop and graphics - wiki]] [[http://​www.spatial-ecology.net/​ost4sem/​exercise/​basic_adv_r/​altitude.R |download script]] or  ~/​ost4sem/​exercise/​basic\_adv\_r/​altitude.R
 +  * [[wiki:​rstat:​r_geography|Geographical analyses in R - wiki]]. R as a GIS, spatial auto correlation,​ spatial covariance.
 +  * [[grassandr|Embed grass functions in R - wiki]]
 +  * [[wiki:​rstat:​sdmodel| Species Distribution Modeling]] with R
 +  * [[wiki:​rstat:​rgwmodel| Intro to geographically weighted models]] **GWmodel package** by Dr. Paul Harris
 +  * [[wiki:​rstat:​Rparale| Parallel Processing in R]] by Steve Weston
 +  * [[ http://​research.computing.yale.edu/​training/​ycrc-bootcamps/​writing-efficient-r-code | Writing Efficient R Code ]] by Steve Weston
 +
 +===== R exercises =====
 +  * [[autocor_bp|Spatial autocorrelation and aggregation of units]]
 +  * [[landuse_bp|Land Use and Land Cover Change ]]
 +  * [[lm_and_graphicr|A simple linear model and a graphic - wiki]] [[http://​www.spatial-ecology.net/​ost4sem/​exercise/​basic_adv_r/​linear_reg_model.R |download script]] or  ~/​ost4sem/​exercise/​basic\_adv\_r/​linear\_reg\_model.R
 +  * [[kappar|Example of kappa statistics - wiki ]] on simulated data. [[http://​www.spatial-ecology.net/​ost4sem/​exercise/​basic_adv_r/​kappastat.R|download script]] or  ~/​ost4sem/​exercise/​basic\_adv\_r/​kappastat.R
 +  * [[pcem_syneco_r|The auto ecology and synecology of Swiss Stone Pine in a graphic - wiki ]] [[http://​www.spatial-ecology.net/​ost4sem/​exercise/​basic_adv_r/​advanced_synecology.R|download script]] or ~/​ost4sem/​exercise/​basic\_adv\_r/​advanced\_synecology.R
 +  * [[bivariate_r|Bivariate plot and visualization of multicollinearity in image - wiki ]]  [[http://​www.spatial-ecology.net/​ost4sem/​exercise/​basic_adv_r/​bivariate.R |download script]] or  ~/​ost4sem/​exercise/​basic\_adv\_r/​bivariate.R
 +  * [[time_series|Plotting time series of pixel observation retrieved from WELD product]]
 +  * [[spec_distrib|Understanding autoecology and synecology to model species distribution - GLM]]
 +  * [[spec_distrib2|Understanding autoecology and synecology to model species distribution - Maxent]]
 +  * [[vector_deseas |  Mapping disease vector habitat ​ ]]
 +  * [[spdistr1 |  Species Distribution Modeling I  ]]
 +  * [[spdistr2 |  Species Distribution Modeling II  ]]
 +
 +===== R links  =====
 +
 +  * [[ http://​wiki.r-project.org/​rwiki/​doku.php | R-project official home page ]]
 +  * [[http://​r-spatial.sourceforge.net/​| R Spatial]]
 +  * [[http://​www.r-tutor.com/​gpu-computing/​rpud-installation | GPU porocessing with R]]
 +  * [[http://​geodacenter.asu.edu/​r-spatial-projects/​| collection of web pages for the analysis of spatial data using R]] University of Arizona
 +  * [[http://​r4ds.had.co.nz/​index.html | R for data science - G. Grolemund and H. Wickham, Online Book]].
 +  * [[http://​cran.r-project.org/​manuals.html|R-project manuals section]]
 +  * [[http://​rwiki.sciviews.org/​doku.php|R wiki]]
 +  * [[http://​www.ats.ucla.edu/​stat/​r/​|Resources to help you learn and use R]] University of California at Los Angeles Academic Technology Services.
 +  * [[http://​www.itc.nl/​personal/​rossiter/​pubs/​list.htmlpubs_m_R|Online tutorials and examples of applications]] From Professor Rossiter, International Institute for Geo-Information Science and Earth Observation
 +  * [[http://​www.apsnet.org/​education/​AdvancedPlantPath/​Topics/​Top.html|Learnin R with Epidemiology and Ecological applications]] Online tutorial from the American Phytopathological Society
 +  * [[http://​addictedtor.free.fr/​graphiques/​|R graphics gallery]] Useful examples of R graphical functions
 +  * [[http://​www.statmethods.net/​index.html|Quick R]] This site help you quickly access R language in your work
 +  * [[http://​people.biology.ufl.edu/​bolker/​emdbook/​|Ecological Models and Data in R]] Dr. B.M. Bolker web site for a book published by Princeton University. Interesting documentation and exercises.
 +
 +  * [[https://​stat.ethz.ch/​mailman/​listinfo/​| R mailing Lists]]
 +  * [[http://​www.zoology.ufl.edu/​bolker/​emdbook/​|Ecological models and data in R]] Princeton University
 +  * [[http://​www.rseek.org/​ | R seek function ]] R browser for searching function
 +  * [[http://​www.dangoldstein.com/​search_r.html|Multi-site search engine]] From Dan Goldstein, Assistant Professor of Marketing at London Business School.
 +  * [[http://​yihui.name/​knitr | knitr]] - Elegant, flexible and fast dynamic report generation with R.
 +  * [[https://​www.rstudio.com/​resources/​cheatsheets | R studio cheat sheet]] - A colection of short reference cards to quickly use different R libraries.
 +
 +
 +
  
wiki/r.txt ยท Last modified: 2018/06/06 12:24 (external edit)