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bit64::table.integer64 Cross Tabulation and Table Creation for integer64
e1071::classAgreement Coefficients Comparing Classification Agreement
e1071::matchClasses Find Similar Classes in Two-way Contingency Tables
e1071::naiveBayes Naive Bayes Classifier
reshape::sparseby Apply a Function to a Data Frame split by levels of indices
survey::svreptable Contingency tables for survey data
xtable::xtableFtable Create and Export Flat Tables
base::.bincode Bin a Numeric Vector
base::by Apply a Function to a Data Frame Split by Factors
base::cut Convert Numeric to Factor
base::droplevels Drop Unused Levels from Factors
base::[.factor Extract or Replace Parts of a Factor
base::factor Factors
base::gl Generate Factor Levels
base::interaction Compute Factor Interactions
base::levels Levels Attributes
base::nlevels The Number of Levels of a Factor
base::split Divide into Groups and Reassemble
base::table Cross Tabulation and Table Creation
base::tapply Apply a Function Over a Ragged Array
graphics::plot.table Plot Methods for 'table' Objects
MASS::corresp Simple Correspondence Analysis
MASS::loglm Fit Log-Linear Models by Iterative Proportional Scaling
MASS::mca Multiple Correspondence Analysis
MASS::predict.mca Predict Method for Class 'mca'
stats::aggregate Compute Summary Statistics of Data Subsets
stats::ftable.formula Formula Notation for Flat Contingency Tables
stats::ftable Flat Contingency Tables
stats::loglin Fitting Log-Linear Models
stats::read.ftable Manipulate Flat Contingency Tables
stats::xtabs Cross Tabulation