UDesigns_1 {CompExpDes} | R Documentation |

## Orthogonal Uniform Designs with two factors

### Description

For v = pq (p>2,q>=2 and v>=6) these uniform designs are generated. This function provides designs based on two types. It also provides number of factors, number of levels, number of runs along with maximum absolute correlation value and discrete discrepancy measure with its lower bound value.

### Usage

```
UDesigns_1(p, q, type)
```

### Arguments

`p` |
any integer >2 |

`q` |
any integer >=2 |

`type` |
1 or 2 |

### Details

Type 1 or type 2 both can be exist for a same parameter range. For type 1 it will require more runs than designs generated by type 2. But type 1 provides designs which are having more spread than type 2 series designs.

### Value

Returns a uniform designs along with number of factors, levels, runs, maximum absolute value and discrete discrepancy measure with its lower bound value.

### Author(s)

Ashutosh Dalal, Cini Varghese, Rajender Parsad and Mohd Harun

### References

Fang, K.T. (1980). The uniform design: application of number-theoretic methods in experimental design. Acta Math Appl Sin, 3, 363-372.

### Examples

```
library(CompExpDes)
UDesigns_1(4,3,1)
```

*CompExpDes*version 1.0.0 Index]