# beavers

0th

Percentile

##### Body Temperature Series of Two Beavers

Reynolds (1994) describes a small part of a study of the long-term temperature dynamics of beaver 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.

Keywords
datasets
beaver1 beaver2
##### Note

The observation at 22:20 is missing in beaver1.

##### Format

The beaver1 data frame has 114 rows and 4 columns on body temperature measurements at 10 minute intervals. The beaver2 data frame has 100 rows and 4 columns on body temperature measurements at 10 minute intervals. The variables are as follows:

day
Day of observation (in days since the beginning of 1990), December 12--13 (beaver1) and November 3--4 (beaver2).
time
Time of observation, in the form 0330 for 3:30am
temp
Measured body temperature in degrees Celsius.
activ
Indicator of activity outside the retreat.

##### 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) Case Studies in Biometry. New York: John Wiley and Sons.

• beavers
• beaver1
• beaver2
##### Examples
library(datasets) 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)
Documentation reproduced from package datasets, version 3.2.5, License: Part of R 3.2.5

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