I'm working on wavelet analysis for daily measurements. covering the period between 2014-1-1 and 2019-12-1. As the six years of data are pretty long, so I created random data for this example. I'd like to ask that how to interpret the results? Thanks very much for your help..
library(wavelets) # the daily data a=rnorm(2161) time= seq(as.Date('2014-1-1'),as.Date('2019-12-1'),by='day') df.a= data.frame(x=a) wt.a= analyze.wavelet(df.a,'x',loess.span=0,dt=1,dj=1/20, lowerPeriod=2,make.pval=T, n.sim=100) ## Plot of wavelet power spectrum (with equidistant color breakpoints): wt.image(wt.a, color.key="interval", legend.params=list(lab="wavelet power levels")) ## Plot of average wavelet power: wt.avg(wt.a, siglvl=0.05, sigcol="red")