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DSD: An Introduction to R with Rstudio - Part 3 (Remote Classroom)
Course Description:

This course is designed to help you to use R and R-studio to import, manipulate, describe and analyse categorical and continuous data and to produce plots and tables to support analysis.

There will be four online tutorials designed to be taken in sequence, one an introduction to the course and three specialist tutorials. This tutorial is Part 3 of the series.

This course involves around six hours of web-based learning which includes exercises with solutions, links to short videos and, other reference material. While working through this material you will develop an example R script.

Once you have booked on the course you will be able to access all of the online materials in our Moodle course.

PREREQUISITES:

You should have a good understanding of statistical concepts. No prior experience with R is required, but experience using a spreadsheet application such as Excel would be an advantage.

IMPORTANT:

Once you have enrolled, please check that you have received a confirmation email from MyLearning. You will also receive an email with a joining link at least one day before the session.

Courses start on the hour but please join during the 5 minutes prior to this to download resources and test out your connection/audio.

For more details on how to book, cancel and join sessions please visit our practical course information page.


Objectives:

At the end of this four part course you will be able to:

  • Use built-in R datasets
  • Import data from plain text files
  • Create bar and pie charts for categorical variables
  • Create histograms and box plots for numeric variables
  • Calculate frequencies and descriptive statistics
  • Creating crosstabs for categorical variables
  • Transform variables
  • Code missing data
  • Analyse a dataset by subgroups
  • Create scatterplots
  • Calculate correlations
  • Carry simple linear regressions
  • Build ANOVA and multiple regression models

You will also learn the basics of R scripting and how to organise R projects.

Intended Audience:
This course is aimed at those wishing to use R to analyse their data who have no prior experience of using R.
Target Audience: All
25/10/2022 - 25/10/2022  (Enrol between 31/07/2022 and 21/10/2022) Enrol

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