This is a practical PC-based workshop which will go through basic statistical methods in R.
R is a powerful, flexible and open-source software package for statistical data analysis and graphical data representation. In some research domains, such as bioinformatics and biostatistics, R is the most often used program for statistical analysis. Increasingly, implementations of new statistical methodology first appear in R as an add-on package.
Firstly familiarizing participants with R, and progressing from data entry and presentation, to one and two sample tests, one-way ANOVA, correlation and regression.
The course will run for 4/5 weeks and comprises 2 lectures (2 hours each) per week, with lectures on statistical topics and practical laboratory classes, using suitable examples to illustrate the techniques introduced in the lectures.
This course is aimed at participants with elementary knowledge of statistics from Nutrition, Agriculture, Food Security, Economics, Education, Medical or public health professionals among others who already have some basic statistical knowledge, but wish to be conversant with the concepts and applications of statistical methods. In particular, it aims to introduce participants to the basic practice of statistics by using R, a statistical software program used for data management and data analysis and learn how to perform basic statistical analyses.
This course is targeted towards
Research staff (e.g. principal investigators/sub-investigators, research assistants or research fellows, etc...)
Graduate students (e.g. PhD/MSc, …)
Academician from universities and research centers
Governmental and/or nongovernmental officials who are/will be required to carry out statistical analysis in the course of their job