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📄 pikdat5.rd

📁 这个包里面含有利用极大似然估计方法来拟合成组数据和条件数据的有限混合分布模型的函数
💻 RD
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\name{pikdat5}
\alias{pikdat5}
\title{Heming Lake Pike Data}
\usage{data(pikdat5)}
\description{
The raw data \code{pikeraw} give the lengths of 523 pike (Esox lucius), and there are known to 
be five age-groups in the sample. We grouped the lengths over 25 intervals to obtain the grouped 
data given as separate samples for each age group determined by scale reading.

The \code{pikdat5} data frame has 25 rows and 6 columns.
}
\format{
  This data frame contains the following columns:
  \describe{
    \item{length}{the boundaries of grouping intervals.}
    \item{age1}{the numbers of observation from each interval belonging to the first age group.}
    \item{age2}{the numbers of observation from each interval belonging to the second age group.}
    \item{age3}{the numbers of observation from each interval belonging to the third age group.}
    \item{age4}{the numbers of observation from each interval belonging to the fourth age group.}
    \item{age5}{the numbers of observation from each interval belonging to the fifth age group.}
  }
}
\source{
    Macdonald, P.D.M. and T.J. Pitcher (1979). 
    \emph{Age-groups from size-frequency data: a versatile and efficient method of analysing distribution mixtures.}
    Journal of the Fisheries Research Board of Canada 36, 987-1001.
}
\references{
    Macdonald, P.D.M. (1987). \emph{Analysis of length-frequency distributions.} 
    In R.C. Summerfelt and G.E. Hall [editors], Age and Growth of Fish, Iowa State University Press, Ames, Iowa. pp 371-384.

    \url{http://www.math.mcmaster.ca/peter/mix/demex/expike.html}
}
\examples{
data(pikdat5)
}
\keyword{datasets}

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