mammoexp {party} | R Documentation

## Mammography Experience Study

### Description

Data from a questionaire on the benefits of mammography.

### Usage

    data(mammoexp)

### Format

A data frame with 412 observations on the following 6 variables.

ME
  Mammograph experience, an ordered factor with levels `Never` < `Within a Year` < `Over a Year`
SYMPT
  Agreement with the statement: `You do not need a mamogram unless you develop symptoms.' A factor with levels `Strongly Agree`, `Agree`, `Disagree` and `Strongly Disagree`
PB
  Perceived benefit of mammography, the sum of five scaled responses, each on a four point scale. A low value is indicative of a woman with strong agreement with the benefits of mammography.
HIST
  Mother or Sister with a history of breast cancer; a factor with levels `No` and `Yes`.
BSE
  Answers to the question: `Has anyone taught you how to examine your own breasts?' A factor with levels `No` and `Yes`.
DECT
  Answers to the question: `How likely is it that a mammogram could find a new case of breast cancer?' An ordered factor with levels `Not likely` < `Somewhat likely` < `Very likely`.

### Source

Hosmer and Lemeshow (2000). Applied Logistic Regression, 2nd edition. John Wiley & Sons Inc., New York. Section 8.1.2, page 264.

### Examples

      ### fit tree with attached scores (but those are the default values anyway)
      ctree(ME ~ .,data = mammoexp,
            scores = list(ME = 1:3, SYMPT = 1:4, DECT = 1:3))

[Package party version 0.8-6 Index]