Discrete wavelet decomposition for a time series
Examples
morie_wavelet_time_series(x = rnorm(50))
#> $approximation
#> [1] -1.11769344 -0.02016362
#>
#> $details
#> $details[[1]]
#> [1] 1.5815756 -0.4291541
#>
#> $details[[2]]
#> [1] 0.08754425 -0.44797894 0.46741990 0.31771558
#>
#> $details[[3]]
#> [1] 0.4993162 1.1265987 0.2193431 1.0731739 -1.2039766 -0.2674525 0.4493177
#> [8] 0.0000000
#>
#> $details[[4]]
#> [1] 0.379908817 -1.291607497 -2.167558229 -0.043963977 0.858535463
#> [6] -1.198322800 0.018369470 -0.155476688 1.079549159 0.889906672
#> [11] 0.005651745 -1.800489752 0.635431153 0.000000000 0.000000000
#> [16] 0.000000000
#>
#> $details[[5]]
#> [1] 1.22707794 0.20458845 2.09283403 -0.90112371 0.04665647 -1.34569065
#> [7] 0.85629877 -0.02719212 -1.23551309 -0.77931728 0.23108042 -0.77936463
#> [13] -2.23667032 0.20443873 0.83904226 0.19158755 -0.12587174 0.31867715
#> [19] 2.10423365 -0.56567986 -0.94769986 0.80733241 -1.02500247 -0.54230090
#> [25] -0.43048403 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [31] 0.00000000 0.00000000
#>
#>
#> $energies
#> [1] 1.2496452 2.6855545 0.5277737 4.4413317 14.3133216 25.8115738
#>
#> $level
#> [1] 5
#>
#> $n
#> [1] 50
#>
#> $wavelet
#> [1] "haar"
#>
#> $method
#> [1] "DWT (rmorie native, wavelet=haar, level=5)"
#>
