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A simple plotting function for response and correlation functions derived from dcc.
dcc
dcplot(x, ci = TRUE, sig = TRUE, labels = NULL, vertical = FALSE)
data.frame with coefficients derived from dcc.
data.frame
logical: should confidence intervals be plotted?
logical: should significant coefficients be indicated by bars in darker grey?
character vector with labels to use for coefficients. Defaults to rownames(x).
rownames(x)
logical: should plots be laid out vertically (defaults to FALSE).
None. Invoked for side effect (plot).
An arbitrary number of parameters can be displayed either horizontally or vertically in subplots.
# NOT RUN { data(muc.clim) data(muc.spruce) # calculate and plot bootstrapped correlation function dc <- dcc(muc.spruce, muc.clim, method = "corr") dcplot(dc) # }
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