rwl.stats {dplR} | R Documentation |

## Calculate Descriptive Summary Statistics on Ring-Width Series

### Description

This function calculates descriptive statistics on a `rwl`

object
of raw or detrended ring-width series.

### Usage

```
rwl.stats(rwl)
## S3 method for class 'rwl'
summary(object, ...)
```

### Arguments

`rwl` , `object` |
a |

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

### Details

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`

.

### Value

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,
the Gini coefficient, and first order
autocorrelation (`"skew"`

, `"gini.coef"`

, `"ar1"`

).

Note that prior to version 1.6.8, two measures of sensitivity were also included. However mean sensitivity is not a robust statistic that should rarely, if ever, be used (Bunn et al. 2013). Those sensitivity functions (`"sens1"`

and `"sens2"`

) are still available for continuity. Users should consider the coef of variation in lieu of mean sensitivity.

### Author(s)

Andy Bunn. Slightly improved by Mikko Korpela.

### References

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.

### See Also

### Examples

```
library(utils)
data(ca533)
rwl.stats(ca533)
summary(ca533)
```

*dplR*version 1.7.7 Index]