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Linear Models in R

Sydney Informatics Hub, Core Research Facilities, DVCR, The University of Sydney

Wednesday, 30 October 2019 from 1:00 pm to 2:30 pm (AEDT)

Linear Models in R

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Event Details

This is the registration page for Linear Models in R.

The workshop will include the following topics:

  • Data importation to R
  • Data Cleaning
  • Exploratory Data Analysis
  • Checking for Outliers
  • ANOVA
  • Linear Regression
  • More general linear models
  • Repeated Measures 

The main topics will be followed by a 20 minute hands on session. So bring along your research data and any specific questions or problems.  

Workshop participants should bring a laptop with R and RStudio installed. Participants should have some basic experience with using R. Attendance at an introductory session such as the “R for Reproducible Scientific Analysis” Intersect course run at Camden on the 10th October is recommended for those without previous user experience of R.

 

Thanks, 

Sydney Informatics Hub.

 


Training is limited to staff, students and affiliates of the University of Sydney.

  • Please use your PROFESSIONAL email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, @centenary.org.au, etc
  • If you do not have an "obvious" University of Sydney email address, please use your professional email, and we'll get in touch.
  • Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!

When & Where


University of Sydney
Camden Commons Library
335 Werombi Rd, #c15
Camden, NSW 2570
Australia

Wednesday, 30 October 2019 from 1:00 pm to 2:30 pm (AEDT)


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Organiser

Sydney Informatics Hub, Core Research Facilities, DVCR, The University of Sydney

The Sydney Informatics Hub provides support, training, and advice on research data, analyses and computing. Talk to us about your computing infrastructure, data science, digital tools and data governance needs. We can also assist you in choosing the best platforms to facilitate your workflow and collaboration. See https://informatics.sydney.edu.au/ for more information. 

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