physical.measure.correlations {cluster.datasets} | R Documentation |

## Hartigan (1975) Correlation Between Physical Measuresments

### Description

The table contains the correlations between various body parts. This is Table 17.1 in Chapter 17 of Hartigan (1975) on page 314.

### Usage

`data(physical.measure.correlations)`

### Format

A data frame with 7 observations on the following 7 variables.

`hl`

a numeric vector for the correlations with head length

`hb`

a numeric vector for the correlations with head breadth

`fb`

a numeric vector for the correlations with face breadth

`ft`

a numeric vector for the correlations with foot

`fm`

a numeric vector for the correlations with forearm

`ht`

a numeric vector for the correlations with height

`fl`

a numeric vector for the correlations with finger length

### Details

Hartigan suggests performing factor analysis on this data set to determine
the minimum number of principal components. In addition, a joining algorithm
can be performed on the data set. Note that the data frame has the variable
names as row names. It can be used directly by the `eigen`

function.

### Source

Pearson, K. (1901). On lines and planes of closest fit to points in space.
*Philosophical Magazine*, 559 - 572.

SPAETH2 Cluster Analysis Datasets http://people.sc.fsu.edu/~jburkardt/datasets/spaeth2/spaeth2.html

### References

Hartigan, J. A. (1975). *Clustering Algorithms*, John Wiley, New York.

### Examples

```
data(physical.measure.correlations)
```

*cluster.datasets*version 1.0-1 Index]