| age_data {conTree} | R Documentation |
Age and Demographics data
Description
The data come from 9243 questionnaires filled out by shopping mall
customers in the San Francisco Bay Area (Impact Resources, Inc.,
Columbus, OH). Here we attempt to estimate a persons age as a
function of the other 13 demographic variables. For this data set
age value is reported as being in one of seven intervals {13-17, 18-24, 25-34, 35-44, 45-54, 55-64, >= 65}. Each persons age is
randomly generated uniformly within its corresponding reported
interval. For the last interval an exponential distribution was
used with mean corresponding to life expectancy after reaching age
65.
Usage
age_data
Format
age_data
A list of 3 items.
- xage
data frame of 8856 observations on 13 variables
- yage
Randomly generated age in the range above
- gbage
gradient boosting model for median age given x
Source
The Elements of Statistical Learning, Data Mining, Second Edition, by Hastie, Tibshirani, and Friedman.