Start Date: 17th Mar, 2021. (17th -20th March 7pm – 8pm eachday)

INTRODUCTION: SESSION ONE

  • Brief introduction to the R environment and its IDEs (R base, R studio and Jupyter Notebook)
  • Objects, variable types, Arrays and matrices
  • Vector and matrix arithmetics (addition, subtraction, multiplication, inverse, determinants eigenvalues and eigenvectors).
  • Set working directory and importing of different data formats into R (CSV, Text files, EXCEL, SPSS, STATA, SAS, etc.).
  • Attaching and detaching of variables & its effects.
  • Exporting data or results from R as a CSV file into desired working directory.
  • Practice Tasks.

LOOPS, CONDITIONAL EXECUTION AND USE OF APPLY FUNCTIONS: SESSION TWO

  • For loops with conditions (single, double loops, etc.).
  • While Loops with conditions.
  • Saving results from Loops.
  • Use of apply functions (apply, lapply, sapply and tapply).
  • Practice Tasks.

CREATING OWN FUNCTIONS AND DATA VISUALIZATION IN R: SESSION THREE

  • Basic syntax for functions in R.
  • Creating functions around loops and apply functions.
  • Returning results of a function as a single object, lists or data frame; and combination of these.
  • Parallelizing functions in R (using parLapply for Windows OS and mclapply for Linux OS).
  • Data visualizations.
  • Practice Tasks.

INFERENTIAL TESTS AND MODELS IN R: SESSION FOUR

  • Introduction to Simulations in R (probability distributions: binomial, Poisson, uniform, exponential, normal and lognormal samples).
  • Bootstrapping and Jackknife re-sampling schemes/estimations in R.
  • Statistical tests (parametric and non-parametric tests).
  • Regression (Mixed and fixed effect models) and Time series modelling.
  • Practice Tasks.
<strong> Clement Twumasi</strong>
Clement Twumasi

Clement is currently a final year PhD Mathematics student and a Vice Chancellor’s Scholar of Cardiff University (UK); with specialities in Mathematical modelling of infectious diseases and biological systems. He has a brilliant academic track record within and outside the UK as well as a robust background in Mathematics and Statistics. Clement’s Mphil research won the best research (in Mathematics) among all universities in Ghana. He is currently the national president of Ghana students in Wales (NUGSA-Wales). Clement has expertise in statistical & mathematical modelling which includes but not limited to: Stochastic Modeling, Regression modelling (fixed and random-effect models), Disease modelling (both deterministic and stochastic class of models), Functional Data Analysis, Machine Learning, Markov Models, Bayesian Networks, Approximate Bayesian Computation and Time series models, amongst others. Clement program and develop/fit models effectively in R and Python programming languages as well as type scientific/academic reports in LaTeX.

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