Résumé de section

  • Dear participant, 

    We are happy to have you here. On this page you will be able to find all important information about the course. After the course, you will be able to access here the recording of the session. 

    Before the short course begins please make sure you follow the preparation steps below. This will ensure that you have the required software installed on your machine and you can make the most of the time available in the short course to learn as much as possible.

    The feedback session will take place on 8 February 2021 at 12:00 - 13:00 UTC. 

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      Installing R-Instat

      In preparation for the course please download and install R-Instat from here http://r-instat.org/Download.html.

      Installation should be straightforward. After installing, launch R-Instat. If R-Instat starts up and you do not see any error messages, it has installed successfully.

      You can have a look at the questions and answers here: https://app.sli.do/event/vtcvnmle/live/questions


      Mac & Linux Users

      Note that R-Instat is currently a Windows application, however there are several ways it can be run on Mac and Linux machines:

      1. Ubuntu 18.04: R-Instat has successfully been installed on Ubuntu 18.04 using Wine. An installation script is available here https://github.com/IDEMSInternational/r-instat-linux/blob/master/sh/setup.sh. Note this may work on other versions of Linux/Mac but is untested.

      2. Install a virtual Windows machine inside your Linux or Mac operating system using software such as VirtualBox or Boot Camp (Mac).

      If you need help installing R-Instat, please post a message on Slido (#EUMSC10) and we will assist you.

      About R-Instat

      In this workshop you will use R-Instat to compare station and satellite time series data. R-Instat is a general statistics software, based on R, with a special menu to support the analysis of climatic data.

      This presentation introduces R-Instat, showing its general features for organising and describing data, as well as the specific facilities for analysing historical climatic data.

      If you are unable to watch this presentation, download the PDF version below.

      Introduction to R-Instat Presentation (PDF)

      •       R-Instat support page:

      http://r-instat.org/ReleaseNotes.html

      •       for help with: downloading, tutorials, videos, climatic guide 
      http://r-instat.org/ReleaseNotes.html

      •       for feature requests and bug reports, post an issue on our GitHub https://github.com/africanmathsinitiative/R-Instat/issues

      •       for general queries e-mail r-instat@africanmathsinitiative.net
      or EUMETSAT for something specific to the course training@eumetsat.int