Statistics

Answers and solutions to the exercises belonging to chapter 4 in [Satistical Rethinking 2](https://xcelab.net/rm/statistical-rethinking/) by Richard McElreath.

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.

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

Answers and solutions to additional exercises and homework belonging to chapter 4 in [Satistical Rethinking 2](https://xcelab.net/rm/statistical-rethinking/) by Richard McElreath.

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.

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

Answers and solutions to the exercises belonging to chapter 5 in [Satistical Rethinking 2](https://xcelab.net/rm/statistical-rethinking/) by Richard McElreath.

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

Answers and solutions to the exercises belonging to chapter 6 in [Satistical Rethinking 2](https://xcelab.net/rm/statistical-rethinking/) by Richard McElreath.

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.