The aim of this training is to build research capacity for the next generation of African scientists to achieve the following: understand the various biometrical components pertaining to design and analysis of experiments/surveys; apply various statistical techniques correctly at all stages of research and report the results effectively. The training equips postgraduate students with the skills and knowledge in use of R programming language for data management, analysis, and presentation of results in a format that would ensure their wide dissemination as peer reviewed publications and policy formulation. It is expected that this training will provide hands-on skills for the students to improve the quality of their research publications. The training will also be an opportunity for postgraduate students to prepare their draft thesis.
Specific Objectives
- Students will be able to learn how to download R, RStudio, R packages and install them on their computers
- Students will learn how to import their data in different formats (csv, text, excel, SPSS etc. into R and export R data into other statistical programs
- Students will learn how to manipulate their d using in matrix arithmetic and data structures such as vectors, arrays, data frames and lists
- Students will learn how use R Markdown where they can store the different R commands and write R scripts
- Students will learn different efficient techniques used in data visualization to produce publication-quality graphs
- Students will be able to use R programming language to analyze data using all inferential statistics tools such as correlation & regression analysis