doEvaluation {CCWeights} | R Documentation |

## Evaluate Different Weighting Factors

### Description

Evaluate different weighting factors.

### Usage

```
doEvaluation(DF, p = 0.05, userWeights = NULL)
```

### Arguments

`DF` |
data frame, it must contain a column named 'Concentration' and a column named 'Response' |

`p` |
p-value, default is 0.05 |

`userWeights` |
user defined weights in linear regression, default is NULL. User can easily define weights, e.g., "1/x", "1/x^2", "1/y" |

### Value

dataframe, weighting factor evaluation result

### Author(s)

Yonghui Dong

### Examples

```
Concentration <- rep(c(10, 50, 100, 500), each = 3)
Response <- c(133, 156, 177, 1300, 1450, 1600, 4000, 3881, 3700, 140000, 139000, 140000)
DF <- cbind.data.frame(Concentration = Concentration, Response = Response)
result <- doEvaluation(DF)
```

[Package

*CCWeights*version 0.1.6 Index]