Day 1:

• Introduction to R: A brief overview of the R environment including the R working directory, creating/using scripts, saving data and results.
• Data entry: A description of how to import and export data from R.
• Data analysis: Learn quick efficient methods to gain insights from data using {dplyr}.
• Summary statistics: Calculating means, variance and other useful data summaries.

Day 2:

• Introduction to a versatile approach to achieve impressive graphics in R with {ggplot2}.
• Creation of different plot types: histograms, scatter, density, box plots.
• Working examples of how to alter the design, including scales, axes and legends.
• Adding the finishing touches with colours, themes, additional information.

Day 3:

• R Markdown: Creating documents using Markdown
• {knitr}: Running dynamic R code
• {kableExtra} & {DT}: Embedding tabular data into output documents
• {bookdown}: Writing books and long-form reports with R Markdown
• {flexdashboard}: Creating interactive dashboards
• Parameterised reports: Creating flexible reports
• Widgets: Exploring interactive HTML widgets