2020-02-06 - 07 Statistics with R. Workshop for L’Institut de langue et de littérature françaises (13:30-17:00)
Two afternoons workshop with computational notebooks and R for L’Institut de langue et de littérature françaises
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About this training
Statistics with R. Workshop for L’Institut de langue et de littérature françaises
In this workshop we will introduce you to the basic usage of R for statistical data analysis. We will base our workshop on the analysis of linguistics’ datasets and will show you some other applications of R.
Learning objectives
At the end of the course, you will become comfortable with the R environment and be able to read, understand and write R commands, allowing you to implement and interpret a workflow for your own statistical data analysis. After the workshop you
In this workshop we will introduce you to the basic usage of R for statistical data analysis. We will base our workshop on the analysis of linguistics’ datasets and will show you some other applications of R.
Learning objectives
At the end of the course, you will become comfortable with the R environment and be able to read, understand and write R commands, allowing you to implement and interpret a workflow for your own statistical data analysis. After the workshop you
- know and can use computational notebooks for statistical data analysis
- can read and write data from disk to data frames
- can produce descriptive statistics and do plotting
- can do some text mining
- can reproduce the results in a publication of your field using R
- - what the Science IT Support can do for you
- how to publish notebooks on GitHub and data on repositories
- Researchers and PhDs from Walter Benjamin Kolleg
- Participants must bring own laptops
- No prior knowledge in R is assumed
- No software installation is required
- Basic statistical knowledge is assumed
- The training alternates between short theoretical introductions and interactive programming sessions.
- A certificate of attendance will be provided
- Dr. Kinga Sipos, PD Dr. Sigve Haug (responsible)
Practical information (time, location ...)
Time : 2020-02-06 and 2020-02-07 from 13:30 to 17:00
Location : Room 220, Mittelstrasse 43, University of Bern
Training language: English
Participants : Max 24
Registration : Please sign up via Ilias
Coaches : Dr. Kinga Sipos, PD Dr. Sigve Haug (responsible)
Fee: on agreement
Certificate: C ertificate of attendance
Location : Room 220, Mittelstrasse 43, University of Bern
Training language: English
Participants : Max 24
Registration : Please sign up via Ilias
Coaches : Dr. Kinga Sipos, PD Dr. Sigve Haug (responsible)
Fee: on agreement
Certificate: C ertificate of attendance
Schedule and content
Preliminary
2020-02-06 Thursday
13:30 – 14:00 Introduction to computational notebooks and R
14:00 – 15:00 Tutorial 1.1 (Basics with the Iris data set)
15:00 – 15:30 Break
15:30 – 16:30 Tutorial 1.2 (Text Mining) (https://osf.io/yxj8q/)
16:30 - 16:45 How to use Science IT Support
16:45 – 17:00 Installation of the Anaconda environment and R on own laptops
2020-02-07 Friday
13:30 – 14:00 Discussions
14:00 – 15:00 Tutorial 2.1
15:00 – 15:30 Break
15:30 – 16:30 Tutorial 2.2
16:30 – 17:00 Publish notebooks on GitHub and data on Zenodo
17:00 - 18:00 Small debrief apero
2020-02-06 Thursday
13:30 – 14:00 Introduction to computational notebooks and R
14:00 – 15:00 Tutorial 1.1 (Basics with the Iris data set)
15:00 – 15:30 Break
15:30 – 16:30 Tutorial 1.2 (Text Mining) (https://osf.io/yxj8q/)
16:30 - 16:45 How to use Science IT Support
16:45 – 17:00 Installation of the Anaconda environment and R on own laptops
2020-02-07 Friday
13:30 – 14:00 Discussions
14:00 – 15:00 Tutorial 2.1
15:00 – 15:30 Break
15:30 – 16:30 Tutorial 2.2
16:30 – 17:00 Publish notebooks on GitHub and data on Zenodo
17:00 - 18:00 Small debrief apero
About ScITS
The Science IT Support is there to boost your research by supporting you with research IT knowledge
Start here
Follow these instructions to start the workshop.
- Goto noto.epfl.ch and log in with your AAI account
- Make a new folder with a name you like
- Move into that folder
- From there click the Git button (to right of the reload button) and paste this address and clone:
- https://github.com/sigvehaug/2020-LLIF-R.git
- That's it. Now start the first notebook (1-Introduction)