Calculate Descriptive Summary Statistics on Ring-Width Series
This function calculates descriptive statistics on a rwl object
of raw or detrended ring-width series.
rwl.stats(rwl) ## S3 method for class 'rwl' summary(object, ...)
rwl, object |
a |
... |
Additional arguments from the generic function. These are silently ignored. |
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.
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.
Andy Bunn. Slightly improved by Mikko Korpela.
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.
library(utils) data(ca533) rwl.stats(ca533) summary(ca533)
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