risk.exposure.plot {blm} | R Documentation |

## Risk-exposure scatter plot

### Description

Calculates the weighted average crude risk against the average exposure level for a continuous exposure. Each point corresponds to overlapping subgroups of 20 percent of the sample ordered from lowest to highest exposure and a sliding window of 1

### Usage

```
risk.exposure.plot(object, scale=1,...)
```

### Arguments

`object` |
list or data.frame with |

`scale` |
multiplicative factor to modify scale of crude risk estimates |

`...` |
additional arguments passed to scatter.smooth |

### Details

The risk-exposure scatter plot is intended to explore the possible functional relationship between risk and exposure.

### Author(s)

S. Kovalchik s.a.kovalchik@gmail.com

### Examples

```
data(aarp)
risk <- crude.risk(bladder70~redmeat,
weights = aarp$w,
data = aarp)
risk.exposure.plot(risk,
xlab = "Avg. Red Meat Consumption")
```

[Package

*blm*version 2022.0.0.1 Index]