Package 'extRemes' - What are R and CRAN?

22 devd
Format
A data frame with 31247 observations on the following 4 variables.
Year a numeric vector giving the number of years from 1900.
Day a numeric vector giving the day of the month.
Hour a numeric vector giving the hour of the day (1 to 24).
Prec a numeric vector giving the precipitation amount (mm).
Details
These observations are part of an hourly precipitation dataset for the United States that has been
critically assessed by Collander et al. (1993). The Denver hourly precipitation dataset is examined
further by Katz and Parlange (1995). Summer precipitation in this region near the eastern edge of
the Rocky Mountains is predominantly of local convective origin (Katz and Parlange (1005)).
Source
Katz, R. W. and Parlange, M. B. (1995) Generalizations of chain-dependent processes: Application
to hourly precipitation, Water Resources Research 31, (5), 1331–1341.
References
Collander, R. S., Tollerud, E. I., Li, L., and Viront-Lazar, A. (1993) Hourly precipitation data
and station histories: A research assessment, in Preprints, Eighth Symposium on Meteorological
Observations and Instrumentation, American Meteorological Society, Boston, 153–158.
Examples
data(Denversp)
plot( Denversp[,1], Denversp[,4], xlab="", ylab="Hourly precipitation (mm)", xaxt="n")
axis(1,at=c(50,60,70,80,90),labels=c("1950","1960","1970","1980","1990"))
devd
Extreme Value Distributions
Description
Density, distribution function (df), quantile function and random generation for the generalized
extreme value and generalized Pareto distributions.