contingencydatalist


  It is a contingency data-set simulated using Poisson distribution. The row and column effects is known for 
  this data-set. It consist of two clusters in rows and three clusters in columns. 


datasets

Simultaneous clustering of rows and columns, usually designated by
biclustering, co-clustering or block clustering, is an important technique
in two way data analysis. It consists of estimating a mixture model which
takes into account the block clustering problem on both the individual and
variables sets. The blockcluster package provides a bridge between the C++
core library and the R statistical computing environment. This package
allows to co-cluster binary, contingency, continuous and categorical
data-sets. It also provides utility functions to visualize the results.
This package may be useful for various applications in fields of Data
mining,Information retrieval, Biology, computer vision and many more. More
information about the project and comprehensive tutorial can be found on
the link mentioned in URL.

Serge Iovleff

blockcluster

Coclustering Package for Binary, Categorical, Contingency and
Continuous Data-Sets

contingencydatalist function

A data list consisting of following data: <dl> <dt><code>data</code></dt><dd>A data matrix consisting of 1000 rows and 100 columns.</dd> <dt><code>roweffects</code></dt><dd>A numeric vector of size 1000. Each value represent row effect of corresponding row.</dd> <dt><code>columneffects</code></dt><dd>A numeric vector of size 100. Each value represent column effect of corresponding column.</dd> </dl>

contingencydatalist: Simulated Contingency Data-set

Description

Arguments

Format

Examples