rolling: Rolling Thumbtacks Data

In DPpackage: Bayesian Nonparametric Modeling in R

Description

This data was generated by Beckett and Diaconis (1994). They generate binary strings from rools of common thumbtacks. A 1 was recorded if the tack landed point up and 0 was recorder if the tack landed point down. All tacks started point down. Each tack was flicked 9 times. The data consit of 320 9-tuples. The actual data arose from 16 "flickers" and 10 surfaces. Following Liu (1996), we treat the data as though they came from 320 different tacks.

Usage

data(rolling)

Format

A data frame with 320 observations on the following 2 variables.

y1

a numeric vector giving the number of tacks landed point up.

y2

a numeric vector giving the number of trials.

Source

Beckett, L. and Diaconis. P. (1994). Spectral analysis fro discrete longitudinal data. Adv. Math., 103: 107-128.

References

Liu, J.S. (1996). Nonparametric Hierarchical Bayes via Sequential Imputations. The Annals of Statistics, 24: 911-930.

Examples

data(rolling)

DPpackage documentation built on May 1, 2019, 10:23 p.m.