Figure.correlation.barplot: Produces a Figure of the correlation coefficients.

In dplRCon: Concordance for Dendroclimatology

Description

Produce a figure with 3 panels, each panel is for a different climate variable. An example of this figure in included in "On the influence of tree size on the climate - growth relationship of New Zealand kauri (Agathis australis): insights from annual, monthly and daily growth patterns. J Wunder, AM Fowler, ER Cook, M Pirie, SPJ McCloskey. Trees 27 (4), 937-948"

Usage

Figure.correlation.barplot(corr.1, corr.2, corr.3, corr.1.full, corr.2.full,
  corr.3.full, col.names.season)

Arguments

corr.1	the output from using function 'correlation.function' for the 1st climate variable comparing near and far-pith. Depending on the order of the inputs into the function 'correlation.function' will determine the color of the resultant box-plot (1st item is black, and 2nd item is gray)
corr.2	same as corr.1 but for the second climate variable
corr.3	same as corr.1 but for the third climate variable
corr.1.full	the output from using function 'correlation.function' for the full dataset. correlations for the full dataset are shown as a grey dashed line.
corr.2.full	same as corr.1.full but for the second climate variable
corr.3.full	same as corr.1.full but for the third climate variable
col.names.season	col.names.season<- list("SON_2", "DJF_2", "MAM_2", "JJA_2", "SON_1", "DJF_1", "MAM_1", "JJA_1", "SON", "DJF", "MAM", "JJA")

Value

This returns a figure.

Examples

## Not run:  Figure.correlation.barplot(corr.temp, corr.prec, corr.SOI,
   corr.temp.full, corr.prec.full, corr.SOI.full, col.names.season) 
## End(Not run)

dplRCon documentation built on May 2, 2019, 2:02 p.m.