Introduction to R

AIms of the course

  • Learn how R works and get to know R environment
  • How to apply R for a variety of statistical analysis
  • Present your results in a more illustrious way

AIms of the course

  • Learn how R works and get to know R environment
  • How to apply R for a variety of statistical analysis
  • Present your results in a more illustrious way

COURSE TOPICS

  • An introduction to the R environment
  • Data generation and manipulation (data import from multiple sources, summaries and fancy plots)
  • Inference in various statistical models (estimation, interpretation and prediction)
  • Simple and multivariate regression
  • Logistic regression and classification
  • Poisson regression
  • Creating clever reports with RMarkdown
  • Monte Carlo methods (bootstrapping and Monte Carlo simulation)

Gained skills

  • Get familiar with R environment
  • Learn how to handle different data structures
  • Find appropriate statistical model for underlying data
  • Interpret results adequately
  • Present results graphically