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Cathie Marsh Institute for Social Research (CMI)

R Essential Skills

Date: 19 November 2019 and 12 May 2020
Time: 1pm - 4pm
Instructor: Peter Smyth
Level: Introductory
Fee: £60 

Humanities PGR students at The University of Manchester can apply for a methods@manchester bursary to help cover their costs. All applications will be considered on a case-by-case basis and applicants will be required to provide a supporting statement from their supervisor. Applications for bursaries must be submitted at least two weeks in advance of the course date; applications submitted after this time will not be accepted. Retrospective applications cannot be made if courses have already taken place or payment has already been made.

Please click here to make a booking. For queries about methods@manchester bursaries, contact methods@manchester.ac.uk (please note, you must have a confirmed place on the course before requesting a bursary application form). For any other queries about short courses, please contact cmi-shortcourses@manchester.ac.uk.

Please note: this is not guaranteed and is considered on a case by case basis. Please contact us for more information.

Outline

This ‘Essential Skills in R’ workshop is for any researcher who has data they want to analyse using the R programming language. No prior computational experience is required. This hands-on workshop provides an introduction to the R programming environment and demonstrates the use of the R language for performing basic data analysis.

Course objectives

On completion of this workshop, the participants will be able to;

  • Install R and RStudio on their own machine
  • Be familiar with the RStudio GUI layout
  • Understand R Variables, data types and objects
  • Understand the use of Vectors and Dataframes
  • Understand how to get help and make use of R libraries
  • Read datasets of different formats into the R environment
  • Perform simple visualisations of data

After completion of this workshop, the participant will be in a position to create their own R environment and have confidence in using it to produce small effective R programs for a variety of simple data analysis tasks.

Prerequisites

None

Recommended reading

https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf sections. 1,2,3,5,6,7

About the instructor

Peter Smyth is a Research Associate at the University of Manchester, based in the Cathie Marsh Institute. He has spent 35 years working in IT at various large and small commercial organisations before taking an MSc in Big Data Analytics at Sheffield Hallam University and moving into academia. In his previous roles, he used any convenient programming environment to hand to solve problems. Now he teaches a variety of programming languages to help others to do the same.

He is a qualified Data and Software Carpentry instructor.

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