Non statistics with R

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General information

The Mares Conference 2016 will commence with two days of MARES Consortium / EuroMarine Network high level training workshops on the 1st and 2nd February 2016 aimed at students, doctoral candidates, postdoctoral fellows and researchers. Two training workshop packages will be offered: the ‘Effective Outreach Workshop’ or ‘Research Tools Workshop’. This workshop is part of the Research Tools Workshop.

Workshop: Non statistics with R

Background: Many users think of R as a statistics system. Furthermore, it is an environment within which statistical techniques are implemented. R can be extended (easily) via packages, covering a very wide range of modern statistics and much more.

Methodology: We will start with some foundations and advance through the different capabilities that can be implemented or created. R programming and tasks automation. Statistical reports. Analysis of vector and raster cartography.

Learning outcome:

The focus of this workshop will be on giving the participants practical experience with the software. Course material will be provided during a practical sessions.This course does not intend to be a full introduction to statistics. The objective is to demonstrate the power of open source statistical software, providing hands-on experience and enabling participants to understand and use the software on their own problems.

Objective:

To discover new and interesting capabilities that R can provided us, such as GIS, modelling, text processor, automation and easy programming.

Contact Person: Mares Conference Coordination Office (info@maresconference.eu)

Content

The highlighted icons, represent the fields of education (in compliance with ISCED Classification) engaged during this course/programme.

Venue

Venue: Real Marina Hotel
Olhão, Portugal

Real Marina Hotel

Av. 5 de Outubro

8700-307 Olhão

Portugal

Application

Open from
12 Nov 2015 to 26 Jan 2016

Cost:
<p>50€</p>

Prerequisites:

Participants should attend with their own PC and have the last version of R installed https://www.cran.r-project.org/). It is also recommended to install Rstudio (https://www.rstudio.com/). Previous experience with the software is required.


Application Procedure:

Registration for the training workshops is open to all and is separate from the MARES conference registration.

Qualification

Academic level: Lifelong Learning
Occupations (not validated):

The Mares Conference 2016 will commence with two days of MARES Consortium / EuroMarine Network high level training workshops on the 1st and 2nd February 2016 aimed at students, doctoral candidates, postdoctoral fellows and researchers. Two training workshop packages will be offered: the ‘Effective Outreach Workshop’ or ‘Research Tools Workshop’. This workshop is part of the Research Tools Workshop.

Workshop: Non statistics with R

Background: Many users think of R as a statistics system. Furthermore, it is an environment within which statistical techniques are implemented. R can be extended (easily) via packages, covering a very wide range of modern statistics and much more.

Methodology: We will start with some foundations and advance through the different capabilities that can be implemented or created. R programming and tasks automation. Statistical reports. Analysis of vector and raster cartography.

Application procedure: 

Registration for the training workshops is open to all and is separate from the MARES conference registration.

Apply: 
Thursday, November 12, 2015 to Tuesday, January 26, 2016
Attendance mode: 
Face-to-face non-campus
Attendance pattern: 
Daytime
Cost: 
<p>50€</p>
Duration: 
The workshop is scheduled on Monday 1st February and will be repeated on Tuesday 2nd February 2016.
Start/End: 
Monday, February 1, 2016 - 01:00 to Tuesday, February 2, 2016 - 01:00
Language of assessment: 
English
Language of instruction: 
English
Learning outcome: 

The focus of this workshop will be on giving the participants practical experience with the software. Course material will be provided during a practical sessions.This course does not intend to be a full introduction to statistics. The objective is to demonstrate the power of open source statistical software, providing hands-on experience and enabling participants to understand and use the software on their own problems.

Objective: 

To discover new and interesting capabilities that R can provided us, such as GIS, modelling, text processor, automation and easy programming.

Prerequisite: 

Participants should attend with their own PC and have the last version of R installed https://www.cran.r-project.org/). It is also recommended to install Rstudio (https://www.rstudio.com/). Previous experience with the software is required.

Study mode: 
Not known
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