Introduction to ‘R’
This course will introduce PhD Researchers to the fundamental concepts in statistics using the R language and R Studio. R allows for basic and advanced statistical analysis which is why it is essential for the researcher. The course will involve an intuitive tutorial of basic descriptive, inferential and regression based statistics (parametric and non-parametric metrics, central limit theorem, normal distribution, measures of central tendency and variance [mean, variance, standard deviation, median, interquartile range], correlation coefficient, hypothesis testing, regression analysis). We will also look at histograms, density curves, scatter plots and box plots. There will be an exposure to programming structures and the R language nuances and syntax (Vectors, matrices, lists, data frames, factors, importing data and analyzing data using vectorised functions, concepts such as vectorisation, vectorised functions, recycling and sub-setting).
The Vitae Researcher Development Framework
This session maps on to Domain A of the Vitae Framework: Knowledge and intellectual abilities which includes the sub-domain areas of:
- A1: Knowledge base
- A2: Cognitive abilities
- A3: Creativity