PhipMeasure {CompExpDes} | R Documentation |

## Phi_p criterion

### Description

For a given design Phi_p criterion is calculated. It is based on Morris and Mitchell (1995). When the designs are not in [0,1]^d form, lesser the value of Phi_p criterion better it is.

### Usage

```
PhipMeasure(design,p=15,q=2)
```

### Arguments

`design` |
A design matrix is needed |

`p` |
Any positive integer. Default value of p = 15. |

`q` |
Any positive integer. Default value of q = 2. This implies that we are considering here Euclidean distance. |

### Value

Generates Phi_p criterion value

### Author(s)

Ashutosh Dalal, Cini Varghese, Rajender Parsad and Mohd Harun

### References

Morris, M.D. and Mitchell, T.J. (1995). Exploratory designs for computer experiments. Journal of Statistical Planning and Inference, 43, 38-402.

### Examples

```
library(CompExpDes)
lhd<-matrix(c(1,5,7,3,4,2,6,2,1,4,5,3,7,6,4,5,6,1,2,3,7),nrow=7,ncol=3,byrow=FALSE)
PhipMeasure(lhd,p=15,q=2)
```

[Package

*CompExpDes*version 1.0.0 Index]