🧑‍💻R

Course Overview

This course aims to introduce R programming language for statistical analysis for those who have never used it before. By the end of the course, participants should be able to appreciate the role of R in handling data in their respective fields and integrate it into their toolkit. 

Course Contents

Exploring R and RStudio

1. Introduction to R and RStudio (Installation)

2. Data structures in R (vectors, lists, dataframes, rasters)

3. Installation of packages 

4. Functions 

5. Projects and working directories 

6. Good coding practices (naming variables, commenting and saving)

Reading data into R

1. Importing tabular data (.tsv, .csv, .xlsx, .dat)

2. Importing spatial data (raster and vector) 

7. Inspecting tabular data (summary and plot)

8. Inspecting spatial data (depending on audience needs)

Data Management

1. Identifying and handling missing values

2. Subseting data 

3. Creating new variables 

4. Grouping and summarizing data

5. Joining tables

6. Exporting data

Data Visualization

1. Create plots (scatterplot, boxplot, barplot, lineplot)

2. Customize plot aesthetics 

3. Export plots to disk

Efficiency and reproducibility

1. Identify common strategies to manage projects in R

2. Use quarto markdown to interweave code and text

3. Find R packages and access help pages

4. Create your own functions to handle common tasks

Dates and Schedule

The sessions will be held on Xth and Yth Month Year (5 days).

From 13:00 - 17:00 CET. 

Total course hours: 30 

Language

English

Places

The total number of participants in the course will be 30 based on registration order. All participants who shall participate and submit their projects within 2 weeks of the course completion will receive a certificate of participation.

Instructor

Dr. Wyclife Agumba Oluoch

Bonn, University

Contacts

Fees and Discounts

Early bird (Until DATE):

€ xxx

(€ xxx for participants from UN LDCs)

Regular (From DATE until the 30th participant):

€ xxx

(€ xxx for participants from UN LDCs)

Prices include VAT

Upon registration, you will receive a confirmation e-mail of your acceptance on the course and invoice. Payment is not required during registration but should be completed before the commencement of the course. All fees collected will be used to enhance R programming literacy in Africa.

Discount

Apart from the mentioned offers, participants from Kenya will receive an additional 20% discount.