README.md

README.md

Welcome to the MP429 repository! This repository contains materials to support the following workshops:

• Statistics I: Statistics in Pharmacy
• Statistics II: Data visualisation and what can go wrong

presented as part of MP429: New Medicines, Better Medicines, Better Use of Medicines, at the University of Strathclyde.

The material you are viewing relates to the 2020-21 presentation of the course, and was prepared by

• Dr Leighton Pritchard
• Dr Nik Rattray
• Dr Zahra Rattray

How Do I Use This Repository?

We use the code in this repository to generate

1. standalone HTML files that can be used with MyPlace.
2. Shiny webapps that can be run by students on their own machines, or at rstudio.org

The code is written in R using R Markdown, and to use or generate all of the materials, we recommend that you install and use RStudio.

In addition, the materials require the following R packages:

• `DT for interactive data tables in standalone HTML pages
• plotly for interactive graphs in standalone HTML pages

and these can be installed from RStudio by opening the install.R script and clicking on the Run button, or from the command-line using:

Rscript install.R

Notebook HTML

The current versions of the notebook HTML pages are linked below, for convenience

• 1. Why Do We Do Statistics?
  • 1a. Exploring a Statistical Distribution INTERACTIVE SESSION
  • 1b. Exploring a Statistical Relationship INTERACTIVE SESSION
• 2. What is a Dataset?
• 3. An Introduction to Data Visualisation
  • 3a. Better Tools Than Bar Charts INTERACTIVE SESSION
• 4. Where Do Statistical Distributions Come From?
  • 4a. Where Does the Normal Distribution Come From?
• 5. Hypothesis Testing
• 6. The Kaplan-Meier Survival Plot