Statistics with R - An Introduction

A workshop offered by the Bonn Graduate Center

This workshop is aimed at scientists who use R primarily for statistical data analysis, but also to process data with reproducible techniques and to present it in an modern and comprehensible way. The goal is specifically to learn statistical knowledge in an intuitive and practicable way.

Online Workshop

Tuesday, July 9, 2024
8:30 a.m. - 3:30 p.m.

Wednesday, July 10, 2024
8:30 a.m. - 3:30 p.m.

Trainer

Dr. Paul Schmidt

Language

English

Location

Online

Target Group

Doctoral students

Track(s)

Research

Certificate

16 units are applicable within the Doctorate plus certificate

Eine Wissenschaftlerin und ein Wissenschaftler arbeiten hinter einer Glasfassade und mischen Chemikalien mit Großgeräten.

Description

This workshop is aimed at scientists who use R primarily for statistical data analysis, but also to (beforehand) process data with reproducible techniques and to (afterwards) present it in an modern and comprehensible way. The goal is specifically to learn statistical knowledge in an intuitive and practicable way.

The focus of this workshop is mainly on practical application, so that the methods mentioned below and their underlying theory are explained with the help of illustrative examples.

Please note that you should have current versions of the two open-source software packages R and RStudio installed before the beginning of the course (further information will follow after registering successfully).

Content

Data processing
- Using the {tidyverse} packages in R
- Further best practice recommendations in a wide variety of steps in the analysis process
Statistics
- Efficiently produce relevant descriptive statistics (a.k.a.: How to really only need Excel for data entry)
- Correlation and linear models (regression)
- Critical discussion on p-values and significance
- Result presentation
- Professional creation of various graphs using {ggplot2}