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WEBINAR: Introduction to Statistics in R

WEBINAR: Introduction to Statistics in R In-Person

IMPORTANT: Before this webinar starts, please enure you are enrolled on NCSK102 Maths & Statistics Canvas module: https://canvas.ljmu.ac.uk/enroll/W4LMJ4

You will also need to have RStudio 64 open and ready to go before the webinar starts. You can download the link for RStudio here: https://rstudio.com/products/rstudio/download/#download

Sometimes, when downloading R Studio, you may be required to download R separately. If this is the case, R can be downloaded here: https://www.stats.bris.ac.uk/R/

CLASS:
We'll start our R Tutorial course by looking at the essential information needed to use and understand R including getting to grips with its syntax and how the language works:

~ Introduction to R and RStudio and the open source heritage
~ Vectors, vectorisation and data types (numbers, strings, logicals and more)
~ Assignment of variables and the use of functions
~ Essential descriptive statistics
~ Probability density functions (pdfs) and Cumulative density functions (cdfs)
~ Plotting with Base R
~ Advanced programming - Loops & Branches (for, while and if...else)
~ How to find the help you need

See the Skills@LJMU Statistics Canvas Course for further information and advice about using statistical programmes in your degree study.

 Sigma’s Statstutor contains a variety of statistics learning materials, including case study videos, tests and quizzes.

Date:
Thursday, March 5, 2020
Time:
5:00pm - 6:00pm
Time Zone:
UK, Ireland, Lisbon Time (change)
Categories:
  Statistics Workshop     Webinar  
Registration has closed.

Event Organizer

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Mike Barrowman
Andrew Fox

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