The R Project SVN R-packages

\name{flower}
\alias{flower}
\title{Flower Characteristics}
\usage{data(flower)}
\description{8 characteristics for 18 popular flowers.}
\format{
  A data frame with 18 observations on 8 variables:
  \tabular{rll}{
    [ , "V1"] \tab factor  \tab winters \cr
    [ , "V2"] \tab factor  \tab shadow \cr
    [ , "V3"] \tab factor  \tab tubers \cr
    [ , "V4"] \tab factor  \tab color \cr
    [ , "V5"] \tab ordered \tab soil \cr
    [ , "V6"] \tab ordered \tab preference \cr
    [ , "V7"] \tab numeric \tab height \cr
    [ , "V8"] \tab numeric \tab distance
  }

  \describe{
    \item{V1}{winters, is binary and indicates whether the plant may be left
      in the garden when it freezes.}

    \item{V2}{shadow, is binary and shows whether the plant needs to stand
      in the shadow.}

    \item{V3}{tubers, is asymmetric binary and distinguishes between plants
      with tubers and plants that grow in any other way.}

    \item{V4}{color, is nominal and specifies the flower's color (1 = white,
      2 = yellow, 3 = pink, 4 = red, 5 = blue).}

    \item{V5}{soil, is ordinal and indicates whether the plant grows in dry
      (1), normal (2), or wet (3) soil.}

    \item{V6}{preference, is ordinal and gives someone's preference ranking
      going from 1 to 18.}

    \item{V7}{height, is interval scaled, the plant's height in centimeters.}

    \item{V8}{distance, is interval scaled, the distance in centimeters that
      should be left between the plants.}
  }
}
\references{
  Struyf, Hubert and Rousseeuw (1996), see \code{\link{agnes}}.
}
\examples{
data(flower)
str(flower) # factors, ordered, numeric

## "Nicer" version (less numeric more self explainable) of 'flower':
flowerN <- flower
colnames(flowerN) <- c("winters", "shadow", "tubers", "color",
                       "soil", "preference", "height", "distance")
for(j in 1:3) flowerN[,j] <- (flowerN[,j] == "1")
levels(flowerN$color) <- c("1" = "white", "2" = "yellow", "3" = "pink",
                           "4" = "red", "5" = "blue")[levels(flowerN$color)]
levels(flowerN$soil)  <- c("1" = "dry", "2" = "normal", "3" = "wet")[levels(flowerN$soil)]
flowerN

## ==> example(daisy)  on how it is used
}
\keyword{datasets}