Personally I think that the examples are impressive so far. Yet we are not sure, whether the plotting of a shapefile will be shown on screen as well. Sudo cp -R /usr/local/lib/R/site-library/shiny/examples /var/shiny-server/www/Įxamples are given on the websites itself and they are accompanied with various tutorials so can dive into a shiny world big style.
# Create a directory for application logs # Create a root directory for your website # Create a system account to run Shiny apps Sudo su -c "R -e \"install.packages('shiny', repos='')\"" Sudo apt-key adv -keyserver -recv-keys E084DAB9 Sudo add-apt-repository ppa:chris-lea/node.js Sudo apt-get install software-properties-common python-software-properties python g++ make So we tried to install it on our powerserver, but we had some issues according to the installation guide with the npm installation which fails with the dependencies after the nodejs installation was fine…ĭespite our problems it should work like this according to the git-page of shiny for UBUNTU 12.04: The installation seems quite easy as it is just expecting node.js (with npm), R and the shiny package for R. The given examples show on one hand the power of shiny: eays GUI for an unexperienced user with sliders, buttons and so on, stong power due to the R computation engine in the background. Shiny a nice analytical webapp ( source ) As i was preparing myself for getting funding for the trip to the R user conference this year in Albacete, Spain I was coming across a highlightning talk by Josh Paulson about an interactive way of using the power of R without real struggling with R as a programming language: Shiny is a cool webapp which lets the user control the application via some drop-down menus and buttons and R computes the result in the background and displays them as well on the webpage:
0 kommentar(er)
