The timeseries have an expected variance of 1 and an expected
correlation of r
Usage
SimulatePowerlawSignalPair(n, beta.signal, beta.noise, r)
Arguments
- r
expected correlation between both vectors
- N
Number of points per timeseries
- betaSignal
powerlaw slope of the signal
- betaNoise
powerlaw slope of the noise
Value
list containing both vectors y1 and y2
Examples
mean(replicate(1000,{test <- SimulatePowerlawSignalPair(200,1,1,0.5);cor(test$y1,test$y2)}))
#> [1] 0.4931165