strip.rwl | R Documentation |
EPS-based chronology stripping after Fowler & Boswijk 2003.
strip.rwl(rwl, ids = NULL, verbose = FALSE, comp.plot = FALSE,
legacy.eps = FALSE)
rwl |
a |
ids |
an optional |
verbose |
|
comp.plot |
|
legacy.eps |
|
The EPS-based chronology stripping is implemented after
Fowler & Boswijk 2003: First, all series are standardized using a
double detrending procedure with splines and frequency cutoffs of 50%
at 20 and 200 years. Then, EPS is calculated for the
chronology including all (remaining) series. In each iteration, the
algorithm calculates leave-one-out EPS values, and the
series whose removal increases overall EPS the most is
discarded. This is repeated until no further increase in
EPS is gained by discarding a single series. The procedure
is then repeated in the opposite direction, i.e., the reinsertion of
each previously removed series into the data.frame
is
considered. In each iteration, the series (if any) whose reinsertion
increases EPS the most is reinserted. As a last step,
EPS is calculated for each year of the stripped and original
chronology including all series. If comp.plot
is set to
TRUE
, a diagnostic plot is shown for the year-wise comparison.
When verbose output is chosen, the EPS values for all leave-one-out (or back-in) chronologies are reported. If discarding or re-inserting a single series leads to an improvement in EPS, this series is marked with an asterisk.
The functions returns a data.frame
of raw tree-ring widths,
where series that do not contribute to an overall improvement in
EPS are left out.
Christian Zang. Patched and improved by Mikko Korpela.
Fowler, A. and Boswijk, G. (2003) Chronology stripping as a tool for enhancing the statistical quality of tree-ring chronologies. Tree-Ring Research, 59(2), 53–62.
rwi.stats
library(utils)
data(anos1)
anos1.ids <- read.ids(anos1, stc = c(4, 3, 1))
srwl <- strip.rwl(anos1, ids = anos1.ids, verbose = TRUE)
tail(srwl)
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