Statistics

Data Allocation

Preparing The Work Head Preamble Coding Downloading NDVI Data Packages Downloading Aggregating NDVI Data Composites Annual Values Cropping NDVI Data Packages & Data Crop & Mask Preparing The Work First of all, most .

Introduction to R

These are the solutions to the exercises contained within the handout to Introduction to R which walks you through the basics of the `R` machinery. `R` is a coding language that can be highly individualised and hence there are often multiple solutions to the same problem. Within these solutions, I shall only present you with one solution for every given task. However, do keep in mind that there is probably a myriad of other ways to achieve your goal.

Cluster Analysis

Preparing The Work Head Preamble Coding Cluster Analysis Loading Data Data Extraction Data Prepartion Cluster Identification Saving Workspace What Is It And Why Do We Do It?

Research Project

This is a quick documentation of a mock research project used throughout all `R` exercises during this seminar series.

A Primer For Statistical Tests

These are the solutions to the exercises contained within the handout to A Primer For Statistical Tests which walks you through the basics of variables, their scales and distributions. Keep in mind that there is probably a myriad of other ways to reach the same conclusions as presented in these solutions.

Change Analysis

Preparing The Work Head Preamble Coding Change Analysis Loading Data Predictions Initial Assesment In-Depth Assesment Preparing The Work Let’s create our basic structure for this document:

Data Handling and Data Assumptions

These are exercises and solutions meant as a compendium to my talk on Data Handling.

Descriptive Statistics

These are the solutions to the exercises contained within the handout to Descriptive Statistics which walks you through the basics of descriptive statistics and its parameters. The analyses presented here are using data from the `StarWars` data set supplied through the `dplyr` package that have been saved as a .csv file.

Classifications

These are exercises and solutions meant as a compendium to my talk on Classifications.

Data Visualisation

These are the solutions to the exercises contained within the handout to Data Visualisation which walks you through the basics of data visualisation in `R`using `ggplot2`. The plots presented here are using data from the `iris` data set supplied through the `datasets` package.