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\docType{data}
\name{dataf.population}
\alias{dataf.population}
\alias{population}
\title{World Historical Population-by-Country Dataset}
\format{
The functional data as a data structure.
\describe{
\item{\code{dataf}}{
The functional data as a list of objects. Each object is characterized by two coordinates
\describe{
\item{\code{args}}{\bold{year} - a numeric vector of years 1950-2015 (66 years)}
\item{\code{vals}}{\bold{population} - a numeric vector of the estimated total population in thousands in 233 countries and regions}
}
}
\item{\code{labels}}{The geographic region of the country: Africa, Asia, Europe, Latin America, North America, Oceania}
\item{\code{identifier}}{The name of country or region}
}
}
\source{
United Nations, Department of Economic and Social Affairs,
Population Division,
\url{https://esa.un.org/unpd/wpp/Download/Standard/Population/},
file \code{Total population - Both sexes}
}
\usage{
dataf.population()
}
\description{
Historical world population data by countries.
}
\details{
World population data by a country, area or region as of 1 July
of the year indicated. Figures are presented in thousands.
}
\examples{
## load the Population dataset
dataf = dataf.population()
## view the classes
unique(dataf$labels)
## access the 5th point of the 2nd object
dataf$dataf[[2]]$args[5]
dataf$dataf[[2]]$vals[5]
## plot the data
## Not run:
labels = unlist(dataf$labels)
plot(dataf,
main = "World population data",
xlab="Year", ylab="Population (in thousands)"
)
## End(Not run)
## compute the integrated and infimal depths of the data curves
## with respect to the same set of curves
depthf.fd1(dataf$dataf, dataf$dataf)
}
\seealso{
\code{\link{dataf.population2010}}
\code{\link{dataf.*}} for other functional data sets
\code{\link{plot.functional}} for building plots of functional data
}
\keyword{datasets}
\keyword{functional}
|
