swh:1:snp:dc80812a22a7696ce24055bd58afbf9f13e3e78c
Tip revision: c81639b9efbc365dff7f4e9cf6d6f5ff01210771 authored by Friedrich Leisch on 07 September 2007, 00:00:00 UTC
version 2.0-1
version 2.0-1
Tip revision: c81639b
candy.Rd
\name{candy}
\alias{candy}
\docType{data}
\title{Candy packs purchased}
\description{
The data is from a new product and concept test where the number of
individual packs of hard candy purchased within the past 7 days is recorded.
}
\usage{data("candy")}
\format{
A data frame with 21 observations on the following 2 variables.
\describe{
\item{\code{Packages}}{a numeric vector}
\item{\code{Freq}}{a numeric vector}
}
}
\source{
D. Boehning, E. Dietz, P. Schlattmann (1998): Recent Developments in
Computer-Assisted Analysis of Mixtures. Biometrics 54(2), 525--536.
}
\references{
J. Magidson, J. K. Vermunt (2004): Latent Class Models. In
D. W. Kaplan (ed.), The Sage Handbook of Quantitative Methodology for
the Social Sciences, 175--198. Thousand Oakes: Sage Publications.
D. Boehning, E. Dietz, P. Schlattmann (1998): Recent Developments in
Computer-Assisted Analysis of Mixtures. Biometrics 54(2), 525--536.
W. R. Dillon, A. Kumar (1994): Latent structure and other mixture
models in marketing: An integrative survey and overview. In
R. P. Bagozzi (ed.), Advanced methods of marketing research,
352--388. Cambridge, UK: Blackwell.
}
\keyword{datasets}