R/correlation.regression.functions.R
pvalMonteCarlo.Rd
Generate parametric or non-parametric surrogates of two series X & Y
pvalMonteCarlo(
X,
Y,
n.sim = 100,
method = "isospectral",
cor.method = "pearson"
)
a 1-column vector
a 1-column vector of the same
number of simulations
the method applies. Possible choices are "isospectral" (default) and "isopersistent"
correlation method to pass to cor() "pearson" (default), "kendall", or "spearman"
output
Other correlation:
ar1()
,
ar1Surrogates()
,
corMatrix
,
effectiveN()
,
plotCorEns()
,
pvalPearsonSerialCorrected()