R: Calculate Mean Sensitivity on Series with a Trend

sens2 {dplR} | R Documentation

## Calculate Mean Sensitivity on Series with a Trend

### Description

This function calculates mean sensitivity of a raw or detrended ring-width series.

### Usage

      sens2(x)

### Arguments

`x` | a `numeric` vector containing the series

### Details

This calculates mean sensitivity according to Eq. 2 in Biondi and Qeadan (2008). This is a measure of sensitivity in dendrochronology that is typically used in the presence of a trend. However, note that mean sensitivity is not a robust statistic and should rarely, if ever, be used (Bunn et al. 2013).

### Value

the mean sensitivity.

### Author(s)

Mikko Korpela, based on original by Andy Bunn

### References

Biondi, F. and Qeadan, F. (2008) Inequality in Paleorecords. Ecology, 89(4), 1056–1067.

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.

### See Also

`sens1`, `rwl.stats`

### Examples

    library(utils)
    data(ca533)
    ca533.rwi <- detrend(rwl = ca533, method = "ModNegExp")
    sens2(ca533.rwi[, 1])

[Package dplR version 1.7.1 Index]