Description Usage Arguments References See Also Examples

View source: R/data-analysis.R

This function computes the curvigram of declinations,
using provided measurement uncertainty and a Gaussian
kernel, i.e. using the method of Silva (2017). When all
measurements have the same associated
uncertainty this function wraps `density`

and
accepts the same input for *bw* in *unc*.

1 |

`dec` |
Array of declination values. |

`unc` |
(Optional) Uncertainty in declination values.
Either a single value or string to be applied
to all measurements (see |

`norm` |
(Optional) Boolean specifying whether the resulting curvigram
should be normalized to unity. Defaults to |

`cut` |
(Optional) Number of uncertainties beyond the extremes
of the data at which to trim the curvigram. Defaults to 4. See |

`range` |
(Optional) As an alternative to |

Silva, Fabio (2017) Inferring Alignments I: Exploring the Accuracy
and Precision of Two Statistical Approaches, *Journal of Skyscape Archaeology*
3(1), 93-111. DOI: 10.1558/jsa.31958

1 2 3 4 | ```
# Curvigram of Ruggles' Recumbent Stone Circle data:
data(RugglesRSC)
curv <- curvigram(RugglesRSC$Dec, 2)
plot(curv)
``` |

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