This function calculates descriptive statistics on a rwl
object
of raw or detrended ring-width series.
rwl.stats(rwl)# S3 method for rwl
summary(object, ...)
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.
a rwl
object with (usually) raw ring-width series
as columns and years as rows such as that produced by
read.rwl
. It is sometimes desirable to run this on
detrended (e.g., rwi) data.
Additional arguments from the generic function. These are silently ignored.
Andy Bunn. Slightly improved by Mikko Korpela.
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
.
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.
rwi.stats
, read.rwl
library(utils)
data(ca533)
rwl.stats(ca533)
summary(ca533)
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