vaso | R Documentation |

## Vaso Constriction Skin Data Set

### Description

Finney's data on vaso constriction in the skin of the digits.

### Usage

`data(vaso, package="robustbase")`

### Format

A data frame with 39 observations on the following 3 variables.

`Volume`

Inhaled volume of air

`Rate`

Rate of inhalation

`Y`

vector of 0 or 1 values.

### Details

The data taken from Finney (1947) were obtained in a carefully controlled study in human physiology where a reflex “vaso constriction” may occur in the skin of the digits after taking a single deep breath. The response y is the occurence (y = 1) or non-occurence (y = 0) of vaso constriction in the skin of the digits of a subject after he or she inhaled a certain volume of air at a certain rate. The responses of three subjects are available. The first contributed 9 responses, the second contributed 8 responses, and the third contributed 22 responses.

Although the data represent repeated measurements, an analysis that assumes independent observations may be applied, as claimed by Pregibon (1981).

### Source

Finney, D.J. (1947)
The estimation from individual records of the relationship between
dose and quantal response.
*Biometrika* **34**, 320–334

### References

Atkinson, A.C. and Riani, M. (2000)
*Robust Diagnostic Regression Analysis*,
First Edition. New York: Springer, Table A.23.

Fahrmeir, L. and Tutz, G. (2001)
*Multivariate Statistical Modelling Based on Generalized Linear Models*,
Springer, Table 4.2.

Kuensch, H.R., Stefanski, A. and Carrol, R.J. (1989)
Conditionally unbiased bounded influence estimation in general
regression models, with applications to generalized linear models,
*JASA* **84**, 460–466.

Pregibon, D. (1981)
Logistic regression diagnostics,
*Annals of Statistics* **9**, 705–724.

### Examples

```
data(vaso)
str(vaso)
pairs(vaso)
glmV <- glm(Y ~ log(Volume) + log(Rate), family=binomial, data=vaso)
summary(glmV)
## --> example(glmrob) showing classical & robust GLM
```