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Statistics and R links

09 Jul 2018

This page lists a series of links to useful online resources. The links are organized into the same set of topics as for the Tutorial and Workshop series.

R syntax

Topic 1 - R basics
«Goto Tutorial»
«Goto Workshop»

Specific topics

  1. Installation of R
  2. Basic syntax
  3. Data types
  4. Object manipulation
  5. R Editors
«Goto Tutorial»
«Goto Workshop»

Topic 2 - R Dataframes

Specific topics

  1. Constructing dataframes Tutorial
  2. Importing (reading) and exporting (writing) data (Tutorial, Workshop)
  3. Vectors within dataframesTutorial
  4. Manipulating dataframesTutorial
    1. Reshaping dataframes
    2. Merging dataframes
    3. Aggregating dataframes
    4. Transformations and derivatives
    5. Alterations
    6. List manipulations
    7. More complex manipulations
  5. Simulated data sets - random data generation Tutorial

Topic 3 - More advanced R

Specific topics

  1. Package management Tutorial
  2. Matrix algebra Tutorial
  3. R programming Tutorial

Introductory statistical principles

Topic 4 - Basic statistics

Specific topics

  1. Basic principlesTutorial
    1. Probability theory
    2. Distributions
    3. Measures of location and variability
    4. Degrees of freedom
  2. Apposing philosophiesTutorial
    1. Frequentist
    2. Bayesian
  3. Estimation and inferenceTutorial
    1. Least squares (LS)
    2. Maximum likelihood (ML)
    3. Bayesian

R data summaries - numerical and graphical

Topic 5 - Traditional R graphics
«Goto Tutorial»

Specific topics

  1. High level plotting
  2. Graphical parameters
  3. Enhancements and customizations
  4. Exporting graphics
«Goto Tutorial»

Topic 6 - The Grammar of Graphics in R (ggplot2)
«Goto Tutorial»

Specific topics

  1. Introducing the grammar of graphics
  2. Coordinate systems
  3. Geometric objects - geom
  4. Scales
  5. Facets
  6. Options
  7. Themes
  8. Showcase
«Goto Tutorial»

Topic 7 - Exploratory data analysis
«Goto Tutorial»
«Goto Workshop»

Specific topics

  1. Numerical summaries
  2. Graphical summaries
«Goto Tutorial»
«Goto Workshop»

Statistical modeling

Workshop 8 - Simple hypothesis testing

Specific topics

  1. Frequentist philosophy revisited Tutorial
  2. One and two-tailed tests
  3. t-tests Bayesian (Tutorial, Workshop)   (Tutorial, Workshop)
  4. Assumptions
  5. Power
  6. Robust tests

Workshop 9 - Traditional linear modelling in R

Specific topics

  1. An introduction to linear modelsTutorial
  2. Regression
    1. Simple Bayesian (Tutorial, Workshop)   (Tutorial, Workshop)
    2. Multiple Bayesian (Tutorial, Workshop)   (Tutorial, Workshop)
  3. ANOVA
    1. Single factor Bayesian (Tutorial, Workshop)   (Tutorial, Workshop)
    2. ANCOVA Bayesian (Tutorial, Workshop)   (Tutorial, Workshop)
    3. Factorial Bayesian (Tutorial, Workshop)   (Tutorial, Workshop)
  4. Multilevel (mixed effects) models
    1. Nested Bayesian (Tutorial, Workshop)   (Tutorial, Workshop)
    2. Randomize Complete Block Bayesian (Tutorial, Workshop)   (Tutorial, Workshop)
    3. Partly nested (split-plot and randomized block) Bayesian (Tutorial, Workshop)   (Tutorial, Workshop)

Workshop 10 - The power of contrasts
«Goto Workshop»
«Goto Workshop»

Specific topics

  1. To derive predictions
  2. To derive treatment means
  3. To derive effect sizes
«Goto Workshop»
«Goto Workshop»

Workshop 11 - Generalized linear models

Specific topics

  1. An introduction to frequency analysisTutorial
    2. link functions
  2. χ2 tests Bayesian (Tutorial, Workshop)   (Tutorial, Workshop)
  3. Contingency tables Bayesian (Tutorial, Workshop)   (Tutorial, Workshop)
  4. Generalized linear modelsTutorial
    1. Logistic and probit regression Bayesian (Tutorial, Workshop)   (Tutorial, Workshop)
    2. Poisson regression and Log-linear modelling Bayesian (Tutorial, Workshop)   (Tutorial, Workshop)

Workshop 12 - Generalized linear mixed effects
«Goto Workshop»
«Goto Workshop»

Specific topics

  1. χ2 tests
  2. Contingency tables
  3. Generalized linear models
    1. Logistic regression
    2. Log-linear modelling
«Goto Workshop»
«Goto Workshop»

Multivariate analyses

Topic 13 - Multivatiate data

Specific topics

  1. Overview
  2. Diversity and Richness
  3. Transformations and standardizations

Topic 14 - R-mode analyses

Specific topics

  1. Unconstrained
    1. Principal components analysis
  2. Constrained
    1. Redundancy analysis

Topic 15 - Q-mode analyses

Specific topics

  1. Dissimilarity
  2. Non-metric Multidimensional Scaling (NMDS)
  3. ANOSIM and Mantel tests

Topic 16 - Clustering

Specific topics

  1. Clustering Tutorial

Other topics

Workshop 15 - Recommendations and Itemsets
«Goto Workshop»
«Goto Workshop»

Specific topics

  1. Itemsets
«Goto Workshop»
«Goto Workshop»