pvalMonteCarlo: Correlations and their significance according to AR(1)...

In nickmckay/GeoChronR: Tools to Analyze and Visualize Time-Uncertain Data

Correlations and their significance according to AR(1) benchmarks

Description

Generate parametric or non-parametric surrogates of two series X & Y

Usage

pvalMonteCarlo(
  X,
  Y,
  n.sim = 100,
  method = "isospectral",
  cor.method = "pearson"
)

Arguments

X	a 1-column vector
Y	a 1-column vector of the same
n.sim	number of simulations
method	the method applies. Possible choices are "isospectral" (default) and "isopersistent"
cor.method	correlation method to pass to cor() "pearson" (default), "kendall", or "spearman"

Value

output

Author(s)

Julien Emile-Geay

Nick McKay

See Also

Other correlation: ar1(), ar1Surrogates(), corMatrix, effectiveN(), plotCorEns(), pvalPearsonSerialCorrected()

nickmckay/GeoChronR documentation built on April 9, 2024, 5:26 a.m.