% File src/library/datasets/man/beavers.Rd % Part of the R package, http://www.R-project.org % Copyright 1994-9 W. N. Venables and B. D. Ripley % Distributed under GPL 2 or later \name{beavers} \docType{data} \alias{beavers} \alias{beaver1} \alias{beaver2} \title{Body Temperature Series of Two Beavers} \usage{ beaver1 beaver2 } \description{ Reynolds (1994) describes a small part of a study of the long-term temperature dynamics of beaver \emph{Castor canadensis} in north-central Wisconsin. Body temperature was measured by telemetry every 10 minutes for four females, but data from a one period of less than a day for each of two animals is used there. } \format{ The \code{beaver1} data frame has 114 rows and 4 columns on body temperature measurements at 10 minute intervals. The \code{beaver2} data frame has 100 rows and 4 columns on body temperature measurements at 10 minute intervals. The variables are as follows: \describe{ \item{day}{Day of observation (in days since the beginning of 1990), December 12--13 (\code{beaver1}) and November 3--4 (\code{beaver2}).} \item{time}{Time of observation, in the form \code{0330} for 3:30am} \item{temp}{Measured body temperature in degrees Celsius.} \item{activ}{Indicator of activity outside the retreat.} } } \note{ The observation at 22:20 is missing in \code{beaver1}. } \source{ P. S. Reynolds (1994) Time-series analyses of beaver body temperatures. Chapter 11 of Lange, N., Ryan, L., Billard, L., Brillinger, D., Conquest, L. and Greenhouse, J. eds (1994) \emph{Case Studies in Biometry.} New York: John Wiley and Sons. } %% consider converting times to POSIXct (using 'yday' ?) \examples{ require(graphics) (yl <- range(beaver1$temp, beaver2$temp)) beaver.plot <- function(bdat, ...) { nam <- deparse(substitute(bdat)) with(bdat, { # Hours since start of day: hours <- time \%/\% 100 + 24*(day - day[1]) + (time \%\% 100)/60 plot (hours, temp, type = "l", ..., main = paste(nam, "body temperature")) abline(h = 37.5, col = "gray", lty = 2) is.act <- activ == 1 points(hours[is.act], temp[is.act], col = 2, cex = .8) }) } op <- par(mfrow = c(2, 1), mar = c(3, 3, 4, 2), mgp = 0.9 * 2:0) beaver.plot(beaver1, ylim = yl) beaver.plot(beaver2, ylim = yl) par(op) } \keyword{datasets}