Introduction to R-Studio

Description:

Over the two days of this in-person course, you will gain valuable skills that you can market to employers, gain confidence in your ability to work with data, and create a knowledge base that you can build on for years to come.

Topics to be covered:

• How to navigate the R-Studio environment

• Reading data into R

• Tidyverse programming and Base R, including packages such as ggplot

• Data wrangling, including cleaning data and creating variables

• Data visualisation, including how to create the right graphs for your data

• Data analysis, both descriptive and inferential, including t-tests and an introduction to regression modelling

By the end of the course participants will:

• Be able to use R-Studio to analyse data
• Have improved their understanding of programming in R-Studio

Course Outline:

Day 1:

• RStudio principles and key terms
• Reading data into RStudio
• Creating variables
• Visualising data with ggplot

Day 2:

• Subsetting and grouping data
• Analysing survey data
• Analysing experiment data
• Performing a regression analysis

Presenter:

Dr Hannah Bunting is Senior Lecturer in Quantitative British Politics and Co-director of The Elections Centre at the Centre for Computational Social Science (C2S2). She is part of the Department for Social and Political Sciences, Philosophy and Anthropology.

Hannah's expertise spans electoral politics, party competition, voting behaviour and political trust. Her interests include British elections at all levels, parties and party system change, and politics and gender. As a quantitative researcher, she has a particular interest in measurement, specialising in survey research design, multilevel modelling and latent trait estimation.

Software:

Students are able to use the computers in the lab during the course. If they are using their own laptops, they will need to install R and R-Studio, available free from https://cran.rstudio.com/

Cost:

The fee per teaching day is £60 per day for students / £150 per day for staff working for academic institutions, Research Councils and other recognised research institutions, registered charity organisations and the public sector / £350 per day for all other participants.

In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date.

If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs. The University of Southampton’s Online Store T&Cs also continue to apply.

Website and registration:

Region:

South West

Keywords:

Data Management , Data Editing, Descriptive Statistics, Quantitative Software, Data Visualisation

Related publications and presentations from our eprints archive:

Data Management
Data Editing
Descriptive Statistics
Quantitative Software
Data Visualisation

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