summary

This page gives an overview of all public discrimintools summary functions.

eval_predict(obj[, digits, to_markdown, ...])	Evaluation of the prediction' quality on training dataset.
summaryCANDISC(obj[, digits, detailed, ...])	Printing summaries of Canonical Discriminant Analysis model.
summaryCPLS(obj[, ncp, digits, detailed, ...])	Printing summaries of Partial Least Squares for Classification model.
summaryDA(obj, **kwargs)	Printing summaries of Discriminant Analysis model.
summaryDiCA(obj[, digits, detailed, ...])	Printing summaries of Discriminant Correspondence Analysis model.
summaryDISCRIM(obj[, digits, detailed, ...])	Printing summaries of Discriminant Analysis (linear and quadratic) model.
summaryGFA(obj[, digits, nb_element, ncp, ...])	Printing summaries of General Factor Analysis model.
summaryGFALDA(obj[, digits, detailed, ...])	Printing summaries of General Factor Analysis Linear Discriminant Analysis model.
summaryMDA(obj[, digits, detailed, ...])	Printing summaries of Mixed Discriminant Analysis model.
summaryMPCA(obj[, digits, nb_element, ncp, ...])	Printing summaries of Mixed Principal Component Analysis model.
summaryPLSDA(obj[, digits, detailed, ...])	Printing summaries of Partial Least Squares Discriminant Analysis model.
summaryPLSLDA(obj[, digits, detailed, ...])	Printing summaries of Partial Least Squares Linear Discriminant Analysis model.
summaryPLSLOGIT(obj[, digits, detailed, ...])	Printing summaries of Partial Least Squares Logistic Regression model.
summarySTEPDISC(obj[, digits, detailed, ...])	Printing summaries of Stepwise Discriminant Analysis model.