Introduction to Statistical Computing with R and R Studio

methods@manchester is an initiative funded by the Faculty of Humanities, University of Manchester. It aims to:highlight Manchester's strength in research methods in the social sciencespromote interdisciplinary and innovative methodological developmentsfoster further developments, including training, through external fundingmethods@manchester achieves these aims by:web pages that showcase the expertise in research methods within the facultypromoting and facilitatingmethods-related eventsacross the universityholding twice-yearly high profile external eventsm﻿ethods@manchester is part of Methods North West, a regional hub for research methods innovation, celebrating the collective strength, depth and breadth of methodological expertise across the participating Universities of Manchester, Liverpool, Lancaster, Lancashire and Keele.

methods@manchester

A one-day course to learn effective skills in data cleaning, manipulation, analysis and visualisation with R and R Studio.

<h2>Overview</h2><p>This online workshop will cover the fundamental aspects of statistical computing with R. The workshop will commence with a short lecture on the principles of statistical computing with R and its benefits, particularly when using powerful R packages such as the tidyverse package. </p><p>Following the lecture, the session will continue in a live-demonstration format which will take the participant throughout the stages required to prepare data for inferential statistical analysis, primarily using the tidyverse package.</p><p>This online workshop will consist of a short lecture and will run in a live-demonstration format at a pace which will allow participants to follow along as well as ask questions. The workshop will run for 3 hours and will consist of the introductory lecture, followed by installation and overview of R and RStudio user interface, basic R syntax and packages, data import, wrangling, exploration and visualisation. There will be plenty of opportunities to ask questions and get clarification during - and in between - each theme. The course will end with common error messages troubleshooting and ultimately, a final session of Q&amp;As and discussions.</p><h2>Target audience</h2><p>The workshop is designed for: </p><p>(1) beginners with little or no knowledge of R and RStudio.</p><p>(2) users with more experience who wish to familiarise themselves with the tidyverse package.</p><h2>Requirements</h2><p>Installation instructions for R and R Studio will be sent to the participants prior to the workshop and it is highly recommended that participants have R and R Studio ready to run in advance. The workshop materials will also be made available in advance to allow participants to practice the R code in their own time after the workshop has ended.</p><h2>About the instructor</h2><p>Dr Ioana Macoveciuc is a Lecturer in Social Statistics at the University of Manchester as well as a member of the Chartered Society of Forensic Sciences and the Royal Statistical Society. You can read more about her interests, activity and research publications <a href="https://www.research.manchester.ac.uk/portal/ioana.macoveciuc.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">here</a>.</p><p><a href="https://www.research.manchester.ac.uk/portal/ioana.macoveciuc.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"></a></p><p></p>

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Introduction to Statistical Computing with R and R Studio

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Introduction to Statistical Computing with R and R Studio

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