This function calculates descriptive statistics on a `rwl`

object
of raw or detrended ring-width series.

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`rwl, object` |
a |

`...` |
Additional arguments from the generic function. These are silently ignored. |

This calculates a variety of descriptive statistics commonly used in dendrochronology (see below). Users unfamiliar with these should see Cook and Kairiukstis (1990) and Fritts (2001) for further details.

The `summary`

method for class `"rwl"`

is a wrapper
for `rwl.stats`

.

A `data.frame`

containing descriptive stats on each
`"series"`

. These are the first and last year of the series as
well as the length of the series (`"first"`

, `"last"`

,
`"year"`

). The mean, median, standard deviation are given
(`"mean"`

, `"median"`

, `"stdev"`

) as are the skewness,
two measures of sensitivity, the Gini coefficient, and first order
autocorrelation (`"skew"`

, `"sens1"`

,
`"sens2"`

, `"gini.coef"`

, `"ar1"`

).

Note that mean sensitivity is not a robust statistic that should rarely, if ever, be used (Bunn et al. 2013).

Andy Bunn. Slightly improved by Mikko Korpela.

Bunn, A. G., Jansma, E., Korpela, M., Westfall, R. D., and Baldwin,
J. (2013) Using simulations and data to evaluate mean sensitivity
(*zeta*) as a useful statistic in dendrochronology.
*Dendrochronologia*, **31**(3), 250–254.

Cook, E. R. and Kairiukstis, L. A., editors (1990) *Methods of
Dendrochronology: Applications in the Environmental Sciences*.
Springer. ISBN-13: 978-0-7923-0586-6.

Fritts, H. C. (2001) *Tree Rings and Climate*. Blackburn.
ISBN-13: 978-1-930665-39-2.

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