R: Descriptive statistics calculated separately for each cluster...

cluster.Description {clusterSim} | R Documentation

## Descriptive statistics calculated separately for each cluster and variable

### Description

Descriptive statistics calculated separately for each cluster and variable: arithmetic mean and standard deviation, median and median absolute deviation, mode

### Usage

    cluster.Description(x, cl, sdType="sample",precission=4,modeAggregationChar=";")

### Arguments

`x` | matrix or dataset
`cl` | a vector of integers indicating the cluster to which each object is allocated
`sdType` | type of standard deviation: for "sample" (n-1) or for "population" (n)
`precission` | Number of digits on the right side of decimal mark sign
`modeAggregationChar` | Character used for aggregation of mode values (if more than one value of mode appear in variable)

### Value

Three-dimensional array:

First dimension contains cluster number

Second dimension contains original coordinate (variable) number from matrix or data set

Third dimension contains number from 1 to 5:

1 - arithmetic mean

2 - standard deviation

3 - median

4 - median absolute deviation (mad)

5 - mode (value of the variable which has the largest observed frequency. This formula is applicable for nominal and ordinal data only).

For example:

desc<-cluster.Description(x,cl)

desc[2,4,2] - standard deviation of fourth coordinate of second cluster

desc[3,1,5] - mode of first coordinate (variable) of third cluster

desc[1,,] - all statistics for all dimensions (variables) of first cluster

desc[,,3] - medians of all dimensions (variables) for each cluster

### Author(s)

Marek Walesiak marek.walesiak@ue.wroc.pl, Andrzej Dudek andrzej.dudek@ue.wroc.pl

Department of Econometrics and Computer Science, University of Economics, Wroclaw, Poland http://keii.ue.wroc.pl/clusterSim/

### See Also

`cluster.Sim`, `mean`, `sd`, `median`, `mad`

### Examples

    library(clusterSim)
    data(data_ratio)
    cl <- pam(data_ratio,5)
    desc <- cluster.Description(data_ratio,cl$cluster)
    print(desc)

[Package clusterSim version 0.49-2 Index]