Computational Statistics I

Please visit http://cursos.leg.ufpr.br/ce083 for class details and http://cursos.leg.ufpr.br/ecr/ for full materials.

This course deals with:

1. Philosophy and initial concepts about free software and R
2. A first session with R
3. R: essentials
   • Installation, graphical interfaces
   • Functions and arguments
   • Objects and their classes
   • Missing and special values
   • Data manipulation: indexing and conditional selection
4. R: data
   • Data import and export
   • Reading data from a URL
5. R: exploratory data analysis
   • Functions for data summaries
   • Exploratory graphics
     • Graphics systems
     • Basic graphics
     • Color systems
     • Graphics with the Lattice package
     • Graphics with the ggplot2 package
6. R: statistics
   • Random number generation
   • Probability distributions
   • Confidence intervals and hypothesis testing
   • Linear regression and ANOVA
7. R: programming
   • Control and repeat structures
   • Creating functions
   • The apply() family of functions
8. Markup languages
   • LaTeX
   • Markdown
9. Dynamic documents with knitr and rmarkdown