Correspondence Analysis in Archaeology
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Guide by worked examples
Aim of Correspondence Analysis
Association between rows and columns
Number of dimensions useful for data interpretation
Interpreting the CA scatterplot: dimensions interpretation
Interpreting the CA scatterplot (continued): correlation between row profiles and dimensions
Quality of the representation
Assembling the whole picture
Extension: clustering rows and/or columns
Another worked example
References
CA in R
CAinterprTools (R package)
R function for various CA scatterplots
R function for improved CA scatterplot
R function for perceptual-map-like CA scatterplot
R function for plotting Pareto chart of categories contribution
R Script for CA
Additional R Script for CA
R Script for the Significance of CA's Dimensions
Other Tools for Statistics
R package for seriation via CA
R function for scalar-stress probability calculation
R function for post. prob. for different relations btw 2 Bayesian 14C phases
R function for Posterior Probability Density plot
R function for binary Logistic Regression
R function for binary Logistic Regression internal validation
R function for optimism-adjusted AUC
R function for Brainerd-Robinson similarity coefficient
R function for univariate outliers detection
R function for permutation-based Chi square test of independence
R function for permutation t-test
R function for visually displaying Mann-Whitney test
R function for visually displaying Kruskal-Wallis test
Kruskal-Wallis Excel Template
Chi-squared Excel Template
Excel Template for Robust Statistics
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