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Free Analysis Software for Researchers and Small Business

July 9 @ 10:00 am - 1:00 pm

DETAILS

Date: Thursday 9th July

Time: 10am – 1pm

Location: Microsoft Teams

Deadline for applications: Thursday 2nd July to derek.watson@sunderland.ac.uk

Download the application form.

PURPOSE

Small-medium Enterprises (SMEs) are often required to analyse and visualise data as part of their core business, but commercial packages such as SPSS, SAS and Stata can be very expensive, especially when multiple copies are required. The aim of this seminar is to introduce both researchers and businesses to alternative packages that are far cheaper (often free), that are robust, multi-platform, secure and supported by a large open source user network. After a brief description of these packages and their installation, the session will look in depth at one such package (the R statistical programming language) comparing it to a commercially available package (SPSS).

The session will then demonstrate some of the main features of this package, including the generation of high quality and innovative graphics, and statistical analysis of data.

LEARNING OUTCOMES:

At the end of this session participants will be able to:

  1. Install and update the R statistical analysis software and one of its simple Graphical User Interfaces (GUI)

  2. Install and update R packages and access user information

  3. Use simple graphical techniques to visualise different types of data using ggplot2 via the Deducer interface.

  4. Use simple statistical techniques to analyses different types of data.

STRUCTURE OF SESSION:

This will be delivered as a 3 hour interactive online workshop for researchers and SMEs and will include:

  • Introduction to a range of free graphical and statistical analysis packages including  the R statistical software package, iNZight graphical analysis package and JASP statistical analysis package (45 minutes)

  • Short break

  • Discussion and demonstration of typical visualisation methods using the ggplot2 package in R (45 minutes)

  • Short break

  • Discussion and demonstration of typical statistical methods that can be used in the R statistical programming language (1 hour)

FACILITATOR:

Dr Bob Hogg, SFHEA

Senior Lecturer Data Analysis and Biomechanics

Faculty of Health and Wellbeing, University of Sunderland

Details

Date:
July 9
Time:
10:00 am - 1:00 pm
Event Category: