Learn R Programming

dplR (version 1.6.4)

powt: Power Transformation of Tree-Ring Data

Description

Perform power transformation simultaneously for a data.frame of raw tree-ring width series.

Usage

powt(rwl)

Arguments

rwl
a data.frame of raw tree-ring widths series, such as that produced by read.rwl or read.fh

Value

A data.frame containing the power transformed ring width series.

Details

This procedure is a variance stabilization technique implemented after Cook & Peters (1997): for each series a linear model is fitted on the logs of level and spread, where level is defined as the local mean $M_t = (R_t + R_(t-1))/2$ with ring widths R, and spread S is the local standard deviation defined as $S_t = |R_t - R_(t-1)|$. The regression coefficient b from $log S = k + b log M$ is then used for the power transform $R*_t = R_t^(1-b)$.

References

Cook, E. R. and Peters, K. (1997) Calculating unbiased tree-ring indices for the study of climatic and environmental change. The Holocene, 7(3), 361–370.

See Also

rcs

Examples

Run this code
data(gp.rwl)
gp.pt <- powt(gp.rwl)

Run the code above in your browser using DataLab