gtsummary {GammaTest}R Documentation

The Gamma Test: Summary of Results

Description

Shows the key statistics calculated by a Gamma test including the Mask used, Gamma statistic, gradient of the regression line and the V ratio.

Usage

gtsummary(gt.list)

Arguments

gt.list The returned results from a Gamma test.

Author(s)

Samuel E. Kemp. To report any bugs or suggestions please email: sekemp@glam.ac.uk

See Also

gammatest

Examples

# Example on an AR(1) process
ts.sim  <- arima.sim(500, model=list(ar=0.9), sd=sqrt(1))
gfts.sim <- dvec(ts.sim, 1)
g <- gammatest(gfts.sim)
gtsummary(g)

# Noisy Sine wave example
x <- seq(length=500, from=-2*pi, to=2*pi)
y <- sin(x) + rnorm(500, sd=sqrt(0.075)) # Set the variance of the noise to 0.075.
xy <- data.frame(x,y)                    # Create an input/output dataset.
noise.est <- gammatest(xy)               # Run Gamma test.
gtsummary(noise.est)                     # Produce a summary of the results

[Package GammaTest version 2.1 Index]