beavers {datasets} | R Documentation

## Body Temperature Series of Two Beavers

### Description

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.

### Usage

    beaver1
    beaver2

### 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.

### Note

The observation at 22:20 is missing in `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) Case Studies in Biometry. New York: John Wiley and Sons.

### 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)

[Package datasets version 3.6.1 Index]