Description:

This course is a step by step interactive introduction for participants with no experience with R and RStudio. Notes will be provided and a set of exercises, covering a variety of data sets, will be run together during the lecture and also individually at the end of the day. The course content is particularly suited for those involved in research in the business, education, social and health sciences.

Participants will first be introduced to the foundations of R such as libraries, matrix manipulation, objects, and data frames. Participants will use R Markdown in RStudio to generate reports, tables and graphics to Word, PDF and HTML files. Once the foundations have been covered a variety of data management skills will introduced (e.g. filtering data, merging data). The production of descriptive statistics tables and graphs will be covered so that participants can easily use RStudio to explore data and produce reports.

The last session on each day will finish with a set of exercises for participants to run on their own and practice what they have learned that day. Please note that due to the short 2-day structure, there will not be any time set aside for analysing participant’s own data.

Start: Thursday, 19 January 2023 @ 09:30

End: Friday, 20 January 2023 @ 17:00

Duration: 2 Days

Timezone: Melbourne

Venue: Online

 Country: Australia

Prerequisites:

This course assumes that participants have:

(1) A reasonable understanding of statistics to be able to comprehend the basic statistics such as mean, median and interquartile range.
(2) Some familiarity with a PC environment including keyboard skills and understanding of folder and file structures.
(3) Some experience in using Microsoft Word and Excel or their equivalent.

It does not assume prior experience with R, Stata, SAS, SPSS or any other specific statistical packages although any such experience would be helpful.

Learning Objectives:

This 2-day workshop covers the foundations of using the free open-source R and RStudio programs to run their analysis. The course is a mix of lectures and hands-on exercises to introduce participants to the foundations for using R and RStudio.

Eligibility:
  • Open to all

Organiser: ACSPRI

Contact: info@acspri.org.au

Host institution: ACSPRI

Keywords: R software, Introductory, R statistical software

Fields: MEDICAL AND HEALTH SCIENCES, EDUCATION, STUDIES IN HUMAN SOCIETY, PSYCHOLOGY AND COGNITIVE SCIENCES, COMMERCE, MANAGEMENT, TOURISM AND SERVICES, ECONOMICS

Capacity: 12

Event type:
  • Workshop
Tech Requirements:

This workshop will take place online using Zoom.
Please make sure you can share your screen as this is an interactive workshop.

Participants must download and install R and RStudio prior to the workshop.
You must be able to install R libraries on your computer during the course.

Cost Basis: Cost incurred by all

Foundations of R for Research: Online https://dresa.org.au/events/foundations-of-r-for-research-online This course is a step by step interactive introduction for participants with no experience with R and RStudio. Notes will be provided and a set of exercises, covering a variety of data sets, will be run together during the lecture and also individually at the end of the day. The course content is particularly suited for those involved in research in the business, education, social and health sciences. Participants will first be introduced to the foundations of R such as libraries, matrix manipulation, objects, and data frames. Participants will use R Markdown in RStudio to generate reports, tables and graphics to Word, PDF and HTML files. Once the foundations have been covered a variety of data management skills will introduced (e.g. filtering data, merging data). The production of descriptive statistics tables and graphs will be covered so that participants can easily use RStudio to explore data and produce reports. The last session on each day will finish with a set of exercises for participants to run on their own and practice what they have learned that day. Please note that due to the short 2-day structure, there will not be any time set aside for analysing participant’s own data. 2023-01-19 09:30:00 UTC 2023-01-20 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R softwareIntroductoryR statistical software