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 (equal to the default values)
mtree <- ctree(ME ~ .,data = mammoexp,
scores = list(ME = 1:3, SYMPT = 1:4, DECT = 1:3))
mtree
plot(mtree)
[Package
party version 0.9-996
Index]