Tutorials
Overview
This page includes three tutorials and associated practice documents.
- Tutorial 1 - Follows the process of importing and performing a simple analysis on a well organized set of data.
- Tutorial 2 - Introduces often needed data tidying skills with a less well organised set of climatic data, before using Line Plots to present the data.
- Tutorial 3 - Presents R-Instat's flexible Calculator dialog. This is a a calculator with multiple keyboards which can be used as a column calculator.
Tutorial 1
This tutorial uses a well organised dataset called from ggplot2 diamonds. The simple analysis includes importing, examining, making graphs and summaries, looking at correlation and dealing with outliers.
The main objective of this tutorial is for users to learn about R-Instat but it also reflects on that data and statistical ideas. When using R-Instat, it becomes easy to combine learning this new tool, with concentrating on data and statistical issues.
Watch the video.
Video script prepared by Rachel Kirk-Gushowaty, and Roger Stern. Video constructed and voiced by Beryl Waswa.
- 00:00 Introducing R-Instat
- 01:25 Exploring the dataset
- 03:14 Graphs
- 07:31 Summaries
- 08:49 Two variable graphs
- 10:23 Correlations
- 13:25 Outliers
- 15:20 Next steps
Then use this downloadable practice document to follow along with the activity yourself.
R-Instat's Tutorial 1 Practice
Tutorial 1 Takeaways
This video highlight a few key points from the first tutorial and looks into them further. Watch this video to further explore some of the key ideas from Tutorial 1. Find out more about right-click menus, the toolbar and how the dialogs work.
Video script prepared by Rachel Kirk-Gushowaty, and Roger Stern. Video constructed and voiced by Beryl Waswa.
- 00:00 Introduction
- 00:19 Right-Click menus
- 03:08 Tool Bar
- 05:23 Dialog Structure and Usage
- 09:13 To Script Button
- 10:20 Data and Statistics
- 13 minutes and 11 seconds.
Tutorial 2
A simple preparation and analysis of a sample of climatic data. Unlike tutorial 1 which uses well organised data, this tutorial requires users to prepare the data set before analysing it. It uses summaries to check data, filters to deal with missing values, generates line graphs.
First watch the video.
Video script prepared by Rachel Kirk-Gushowaty, and Roger Stern. Video constructed and voiced by Beryl Waswa.
- 00:00 Introducing the dataset
- 00:43 The Dodoma Dataset
- 01:44 Preparing the data
- 05:33 Reshaping the data
- 08:00 Line plots
- 08:56 Save data
- 09:57 Takeaways from Tutorial 2
Then use this downloadable practice document to follow along with the activity yourself.
Tutorial 3 - A Tidy Calculation System
This activity focuses on the flexibility of the Calculator Dialog.
Here we get ambitions, as we presume you now know a bit about using R-Instat, perhaps from the first two tutorials.
For educators, we assume that you already use, or may use, R in your teaching or learning. Our proposal is that adding R-Instat to R will improve accessibility for the many students who find R tricky, or even worse. For individual users this tutorial is to reflect on how (and whether) they could use R-Instat in their further work and in training courses.
Watch the video and consider how you want to use R-Instat
Video script prepared by Rachel Kirk-Gushowaty, and Roger Stern. Video constructed and voiced by Beryl Waswa.
- 00:00 Introduction
- 01:48 3 Potential Users
- 03:58 Create a New Data Frame
- 05:13 A Basic Calculator
- 08:36 The Maths Keyboard
- 09:44 The Integer Keyboard
- 10:39 Prime Numbers
- 12:06 Abundant Numbers
- 12:58 Deficient Numbers
- 17:00 Introducing Fibonacci Numbers and the Golden Ratio
- 17:45 Fibonacci Numbers in R-Instat
- 25:07 Reflections