dcplot: Plotting Function for Response and Correlation Functions

In bootRes: Bootstrapped Response and Correlation Functions

Description

A simple plotting function for response and correlation functions derived from dcc.

Usage

dcplot(x, ci = TRUE, sig = TRUE, labels = NULL, vertical = FALSE)

Arguments

x	data.frame with coefficients derived from dcc.
ci	logical: should confidence intervals be plotted?
sig	logical: should significant coefficients be indicated by bars in darker grey?
labels	character vector with labels to use for coefficients. Defaults to rownames(x).
vertical	logical: should plots be laid out vertically (defaults to FALSE).

Details

An arbitrary number of parameters can be displayed either horizontally or vertically in subplots.

Value

None. Invoked for side effect (plot).

Author(s)

Christian Zang

See Also

dcc

Examples

data(muc.clim)
data(muc.spruce)

# calculate and plot bootstrapped correlation function
dc <- dcc(muc.spruce, muc.clim, method = "corr")
dcplot(dc)

bootRes documentation built on May 2, 2019, 6:47 a.m.