I am very pleased you will be participating in the Sports Analyt- ics with R tutorial at the useR!2017 Conference . The tutorial is just a few days away.
In order that you get the most out of the experience, I’ve pro- vided some useful information about resources for the workshop and some packages you will want to make sure to install by the day of the tutorial.
Before the Tutorial:
Please make sure you will have a laptop with you and will be able to use R during the tutorial.
You should ensure that you have version 3.2 or higher of R on the machine you will be using at the conference.
Please install the deuce package from github, which has datasets we will be using during the tutorial. Depending on your con- nection speed, this may take several minutes to install so it is very important to do this before July 4th. You can install using the devtools command:
devtools::install_github(‘skoval/deuce’).
• If you want to be able to do all of the examples, please make sure you have installed the following packages and their de- pendencies: devtools, gtools, lubridate, stringr, dplyr, tidyr, rvest, RSelenium, ggplot2, ggthemes, plot3D, caret, blogdown, plotly
• You can install blogdown from github using: devtools::install_github(‘rstudio/blogdown’). The others should be available on CRAN.
• Using RSelenium may require additional installation of Sele-
nium serve, a java program. You can find the information on
installation under ‘How do I run the Selenium Server‘ at https: //cran.r-project.org/web/packages/RSelenium/vignettes/RSelenium-basics html#how-do-i-run-the-selenium-server
I will also have pdf copies of the lecture slides if you would like them after the tutorial, please contact me.
Contact:
If you have questions before or after the conference, please send an e-mail to me (Stephanie Kovalchik) at s.a.kovalchik@gmail. com.
I am very pleased you will be participating in the Sports Analyt- ics with R tutorial at the useR!2017 Conference . The tutorial is just a few days away.
In order that you get the most out of the experience, I’ve pro- vided some useful information about resources for the workshop and some packages you will want to make sure to install by the day of the tutorial.
Before the Tutorial:
Please make sure you will have a laptop with you and will be able to use R during the tutorial.
You should ensure that you have version 3.2 or higher of R on the machine you will be using at the conference.
Please install the deuce package from github, which has datasets we will be using during the tutorial. Depending on your con- nection speed, this may take several minutes to install so it is very important to do this before July 4th. You can install using the devtools command:
devtools::install_github(‘skoval/deuce’).
• If you want to be able to do all of the examples, please make sure you have installed the following packages and their de- pendencies: devtools, gtools, lubridate, stringr, dplyr, tidyr, rvest, RSelenium, ggplot2, ggthemes, plot3D, caret, blogdown, plotly
• You can install blogdown from github using: devtools::install_github(‘rstudio/blogdown’). The others should be available on CRAN.
• Using RSelenium may require additional installation of Sele-
nium serve, a java program. You can find the information on
installation under ‘How do I run the Selenium Server‘ at https: //cran.r-project.org/web/packages/RSelenium/vignettes/RSelenium-basics html#how-do-i-run-the-selenium-server
I will also have pdf copies of the lecture slides if you would like them after the tutorial, please contact me.
Contact:
If you have questions before or after the conference, please send an e-mail to me (Stephanie Kovalchik) at s.a.kovalchik@gmail. com.
Modelling the environment in R: from small-scale to global appli- cations
Last minute information
Dear useRs,
the useR conference is approaching soon and we are currently updating our material for the tutorial. Here a few short notes.
Please have the following software installed on your laptop
Recommended
a laptop with Linux, Windows or MacOS
a recent version of R (current is 3.4.0)
a recent version of RStudio
packages deSolve, FME, OceanView and shiny (together with some dependencies, that are auto-
matically installed)
WiFi
Optional
Execute the following function
in R to install the packages above and some others that we use from time to time.
Install the development tools
• Windows: https://cran.r-project.org/bin/windows/Rtools/ • Linux:
– Debian/Ubuntu sudo apt-get r-base-dev
– Fedora sudo yum install R
• Mac: see https://cran.r-project.org/bin/macosx/
What are your most interested in?
The tentative plan of the tutorial can be found on https://www.user2017.brussels/uploads/Karline_ Rtutorial2017.html It consists of two parts, an introductory part and an outlook. You will see, that the outlook contains several options that cannot be covered in equal detail.
Please let us know what you are mostly interested in: 1
install.packages(c("deSolve", "marelac", "OceanView", "rootSolve", "bvpSolve", "deTestSet", "FME", "ReacTran", "marelac", "cOde", "scatterplot3d", "shiny", "AquaEnv", "rMarkdown", "devtools", "rodeo"))
• how to make models more realistic by implementing forcing functions and events,
• how to implement complex models in an efficient way with package rodeo,
• how to speed up differential equation models (matrix formulation, code generators, parallel computing), • how to create web-based model applications with deSolve and shiny.
Just send an email to us. karline.soetaert@nioz.nl and thomas.petzoldt@tu-dresden.de Note: Updates will appear at: http://desolve.r-forge.r-project.org/user2017
See you in Brussels!
Modelling the environment in R: from small-scale to global appli- cations
Last minute information
Dear useRs,
the useR conference is approaching soon and we are currently updating our material for the tutorial. Here a few short notes.
Please have the following software installed on your laptop
Recommended
a laptop with Linux, Windows or MacOS
a recent version of R (current is 3.4.0)
a recent version of RStudio
packages deSolve, FME, OceanView and shiny (together with some dependencies, that are auto-
matically installed)
WiFi
Optional
Execute the following function
in R to install the packages above and some others that we use from time to time.
Install the development tools
• Windows: https://cran.r-project.org/bin/windows/Rtools/ • Linux:
– Debian/Ubuntu sudo apt-get r-base-dev
– Fedora sudo yum install R
• Mac: see https://cran.r-project.org/bin/macosx/
What are your most interested in?
The tentative plan of the tutorial can be found on https://www.user2017.brussels/uploads/Karline_ Rtutorial2017.html It consists of two parts, an introductory part and an outlook. You will see, that the outlook contains several options that cannot be covered in equal detail.
Please let us know what you are mostly interested in: 1
install.packages(c("deSolve", "marelac", "OceanView", "rootSolve", "bvpSolve", "deTestSet", "FME", "ReacTran", "marelac", "cOde", "scatterplot3d", "shiny", "AquaEnv", "rMarkdown", "devtools", "rodeo"))
• how to make models more realistic by implementing forcing functions and events,
• how to implement complex models in an efficient way with package rodeo,
• how to speed up differential equation models (matrix formulation, code generators, parallel computing), • how to create web-based model applications with deSolve and shiny.
Just send an email to us. karline.soetaert@nioz.nl and thomas.petzoldt@tu-dresden.de Note: Updates will appear at: http://desolve.r-forge.r-project.org/user2017
See you in Brussels!
https://drive.google.com/file/d/0B7N7RhxAvGVgOU5tWmJMUDBGQUE/view