These functions create a `TDRcalibrate`

object
which is necessary to obtain dive summary statistics.

1 2 3 | ```
calibrateSpeed(x, tau=0.1, contour.level=0.1, z=0, bad=c(0, 0),
main=slot(getTDR(x), "file"), coefs, plot=TRUE,
postscript=FALSE, ...)
``` |

`x` |
An object of class |

`tau` |
numeric scalar: quantile on which to regress speed on rate
of depth change; passed to |

`contour.level` |
numeric scalar: the mesh obtained from the bivariate kernel density estimation corresponding to this contour will be used for the quantile regression to define the calibration line. |

`z` |
numeric scalar: only changes in depth larger than this value will be used for calibration. |

`bad` |
numeric vector of length 2 indicating that only rates of depth change and speed greater than the given value should be used for calibration, respectively. |

`coefs` |
numeric: known speed calibration coefficients from
quantile regression as a vector of length 2 (intercept, slope). If
provided, these coefficients are used for calibrating speed,
ignoring all other arguments, except |

`main, ...` |
Arguments passed to |

`plot` |
logical: whether to plot the results. |

`postscript` |
logical: whether to produce postscript file output. |

This calibrates speed readings following the procedure outlined in Blackwell et al. (1999).

An object of class `TDRcalibrate`

.

Sebastian P. Luque spluque@gmail.com

Blackwell S, Haverl C, Le Boeuf B, Costa D (1999). A method for calibrating swim-speed recorders. Marine Mammal Science 15(3):894-905.

1 2 3 4 5 6 7 8 9 | ```
## Too long for checks
## Continuing the Example from '?calibrateDepth':
utils::example("calibrateDepth", package="diveMove",
ask=FALSE, echo=FALSE)
dcalib # the 'TDRcalibrate' that was created
## Calibrate speed using only changes in depth > 2 m
vcalib <- calibrateSpeed(dcalib, z=2)
vcalib
``` |

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