Statistical and visual crossdating in R using the dplR library

I demonstrate new functionality for the Dendrochronology Program Library in R (dplR) that allows for flexible statistical crossdating of tree-ring data. Using a well-dated ring-width file, I give examples of how dplR can be used to examine correlations between each series and a master chronology according to overlapping time periods (segments) specified by the user; examine moving correlations of suspect series; and compute cross-correlation functions to identify specific dating issues. I also show how automatically generated skeleton plots can be used to visually crossdate. Much of the terminology and approach used for crossdating in dplR will be familiar to users of COFECHA.