R

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.

Data Handling and Data Assumptions

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

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.

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.

Classifications

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

Regressions

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

Data Handling and Data Mining

Welcome to our first "real" practical experience in `R`. The following notes present you with an example of how data handling (also known as data cleaning) can be done. Obviously, the possibility for flaws to occur in any given data set are seemingly endless and so the following, tedious procedure should be thought of as less of an recipe of how to fix common flaws in biological data sets but make you aware of how important proper data collection and data entry is.

Data Handling and Data Mining

Welcome to our first "real" practical experience in `R`. The following notes present you with an example of how data handling (also known as data cleaning) can be done. Obviously, the possibility for flaws to occur in any given data set are seemingly endless and so the following, tedious procedure should be thought of as less of an recipe of how to fix common flaws in biological data sets but make you aware of how important proper data collection and data entry is.

Model Selection

These are exercises and solutions meant as a compendium to my talk on Model Selection and Model Building.

Nominal Tests

Welcome to our second practical experience in `R`. Throughout the following notes, I will introduce you to a couple nominal statistical test approaches that might be useful to you and are often used in biology. To do so, I will enlist the sparrow data set we handled in our last exercise.