CanadianWeather {fda} | R Documentation |
Daily temperature and precipitation at 35 different locations in Canada averaged over 1960 to 1994.
A list with the following components:
[[1]] Temperature.C: average daily temperature for each day of the year
[[2]] Precipitation.mm: average daily rainfall for each day of the year rounded to 0.1 mm.
[[3]] log10precip: base 10 logarithm of Precipitation.mm after first replacing 27 zeros by 0.05 mm (Ramsay and Silverman 2006, p. 248).
Ramsay, James O., and Silverman, Bernard W. (2006), Functional Data Analysis, 2nd ed., Springer, New York.
# Expand the left margin to allow space for place names op <- par(mar=c(5, 4, 4, 5)+.1) # Plot stations <- c("Pr. Rupert", "Montreal", "Edmonton", "Resolute") matplot(day.5, CanadianWeather$dailyAv[, stations, "Temperature.C"], type="l", axes=FALSE, xlab="", ylab="Mean Temperature (deg C)") axis(2, las=1) # Label the horizontal axis with the month names axis(1, monthBegin.5, labels=FALSE) axis(1, monthEnd.5, labels=FALSE) axis(1, monthMid, monthLetters, tick=FALSE) # Add the monthly averages matpoints(monthMid, CanadianWeather$monthlyTemp[, stations]) # Add the names of the weather stations mtext(stations, side=4, at=CanadianWeather$dailyAv[365, stations, "Temperature.C"], las=1) # clean up par(op)