Cascades: Annual precipitation totals for the North Cascades region

Description

The data on annual precipitation totals for the North Cascades region contains the sample L-moments ratios (L-CV, L-skewness and L-kurtosis) for 19 sites as used by Hosking and Wallis (1997), page 53, Table 3.4, to illustrate screening tools for regional freqency analysis (RFA).

Usage

data(Cascades)

Arguments

Format

A data frame with 19 observations on the following 3 variables.

L-CV: L-coefficient of variation
L-skewness: L-coefficient of skewness
L-kurtosis: L-coefficient of kurtosis

Details

The sample L-moment ratios (L-CV, L-skewness and L-kurtosis) of a site are regarded as a point in three dimensional space.

References

Neykov, N.M., Neytchev, P.N., Van Gelder, P.H.A.J.M. and Todorov V. (2007), Robust detection of discordant sites in regional frequency analysis, Water Resources Research, 43, W06417, doi:10.1029/2006WR005322, http://www.agu.org/pubs/crossref/2007/2006WR005322.shtml

Examples

Run this code

# NOT RUN {
    data(Cascades)

    # plot a matrix of scatterplots
    pairs(Cascades,
          main="Cascades data set",
          pch=21,
          bg=c("red", "green3", "blue"))

    mcd<-CovMcd(Cascades)
    mcd
    plot(mcd, which="dist", class=TRUE)
    plot(mcd, which="dd", class=TRUE)

    ##  identify the discordant sites using robust distances and compare 
    ##  to the classical ones
    rd <- sqrt(getDistance(mcd))
    ccov <- CovClassic(Cascades)
    cd <- sqrt(getDistance(ccov))
    r.out <- which(rd > sqrt(qchisq(0.975,3)))
    c.out <- which(cd > sqrt(qchisq(0.975,3)))
    cat("Robust: ", length(r.out), " outliers: ", r.out,"\n")
    cat("Classical: ", length(c.out), " outliers: ", c.out,"\n")
# }

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