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 |