a3.lm {A3} | R Documentation |

## A3 for Linear Regressions

### Description

This convenience function calculates the A3 results specifically for linear regressions. It uses R's `glm`

function and so supports logistic regressions and other link functions using the `family`

argument. For other forms of models you may use the more general `a3`

function.

### Usage

```
a3.lm(formula, data, family = gaussian, ...)
```

### Arguments

`formula` |
the regression formula. |

`data` |
a data frame containing the data to be used in the model fit. |

`family` |
the regression family. Typically 'gaussian' for linear regressions. |

`...` |
additional arguments passed to |

### Value

S3 `A3`

object; see `a3.base`

for details

### Examples

```
## Standard linear regression results:
summary(lm(rating ~ ., attitude))
## A3 linear regression results:
# In practice, p.acc should be <= 0.01 in order
# to obtain fine grained p values.
a3.lm(rating ~ ., attitude, p.acc = 0.1)
# This is equivalent both to:
a3(rating ~ ., attitude, glm, model.args = list(family = gaussian), p.acc = 0.1)
# and also to:
a3(rating ~ ., attitude, lm, p.acc = 0.1)
```

[Package

*A3*version 1.0.0 Index]