Description Usage Arguments Details Value Author(s) Examples
The periodogram is computed.
1 |
z |
time series vector of length n, say. |
fr |
use "default" for usual Fourier frequencies, 1/n, ..., floor(n/2)/n. Set fr = N, to evaluate the periodogram at the Fourier frequencies corresponding to a time series of length N. Finally set fr to any desired set of frequencies. Note frequencies are in cycles per unit time sometimes called temoral frequency to distinguish from angular frequency. Both are widely used in time series. |
method |
either periodogram or regression |
Uses FFT. So if the length of z is a highly composite number, the computation is very efficient. Otherwise the usual DFT is used.
Periodogram evaluated at the Fourier frequencies or R-square.
A.I. McLeod and Yuanhao Lai
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | z<-sunspot.year
n<-length(z)
I<-pgram(z)
f<-I[,1]
I <- I[,2]
plot(f, I, xlab="f", ylab="f", type="l")
title(main="Periodogram for Annual Sunpots, 1700-1988")
#
z<-c(0.42, 0.89, 1.44, 1.98, 2.21, 2.04, 0.82, 0.62, 0.56, 0.8, 1.33)
fr <- (1:50)/101
pgram(z)
pgram(z, fr=101)
pgram(z, fr=fr)
pgram(z, method="regression")
pgram(z, method="regression", fr=101)
pgram(z, method="regression", fr=fr)
|
Periodicity tests in short time series
frequency periodogram
[1,] 0.09090909 1.26259378
[2,] 0.18181818 0.61950511
[3,] 0.27272727 0.02257858
[4,] 0.36363636 0.11744806
[5,] 0.45454545 0.05925629
frequency periodogram
[1,] 0.00990099 15.16173539
[2,] 0.01980198 13.84466929
[3,] 0.02970297 11.87397218
[4,] 0.03960396 9.53633122
[5,] 0.04950495 7.14613879
[6,] 0.05940594 4.98494653
[7,] 0.06930693 3.25305630
[8,] 0.07920792 2.04348498
[9,] 0.08910891 1.34216510
[10,] 0.09900990 1.05130241
[11,] 0.10891089 1.02727582
[12,] 0.11881188 1.12177376
[13,] 0.12871287 1.21552155
[14,] 0.13861386 1.23745182
[15,] 0.14851485 1.16719807
[16,] 0.15841584 1.02371483
[17,] 0.16831683 0.84621320
[18,] 0.17821782 0.67464064
[19,] 0.18811881 0.53563952
[20,] 0.19801980 0.43702651
[21,] 0.20792079 0.37049643
[22,] 0.21782178 0.31960968
[23,] 0.22772277 0.26893429
[24,] 0.23762376 0.21065052
[25,] 0.24752475 0.14658243
[26,] 0.25742574 0.08572500
[27,] 0.26732673 0.03906219
[28,] 0.27722772 0.01424416
[29,] 0.28712871 0.01235753
[30,] 0.29702970 0.02785957
[31,] 0.30693069 0.05131270
[32,] 0.31683168 0.07344388
[33,] 0.32673267 0.08866935
[34,] 0.33663366 0.09664351
[35,] 0.34653465 0.10136193
[36,] 0.35643564 0.10842641
[37,] 0.36633663 0.12181271
[38,] 0.37623762 0.14159582
[39,] 0.38613861 0.16358166
[40,] 0.39603960 0.18092180
[41,] 0.40594059 0.18693452
[42,] 0.41584158 0.17787882
[43,] 0.42574257 0.15450442
[44,] 0.43564356 0.12177138
[45,] 0.44554455 0.08693272
[46,] 0.45544554 0.05685444
[47,] 0.46534653 0.03572682
[48,] 0.47524752 0.02409515
[49,] 0.48514851 0.01952321
[50,] 0.49504950 0.01847450
frequency periodogram
[1,] 0.00990099 15.16173539
[2,] 0.01980198 13.84466929
[3,] 0.02970297 11.87397218
[4,] 0.03960396 9.53633122
[5,] 0.04950495 7.14613879
[6,] 0.05940594 4.98494653
[7,] 0.06930693 3.25305630
[8,] 0.07920792 2.04348498
[9,] 0.08910891 1.34216510
[10,] 0.09900990 1.05130241
[11,] 0.10891089 1.02727582
[12,] 0.11881188 1.12177376
[13,] 0.12871287 1.21552155
[14,] 0.13861386 1.23745182
[15,] 0.14851485 1.16719807
[16,] 0.15841584 1.02371483
[17,] 0.16831683 0.84621320
[18,] 0.17821782 0.67464064
[19,] 0.18811881 0.53563952
[20,] 0.19801980 0.43702651
[21,] 0.20792079 0.37049643
[22,] 0.21782178 0.31960968
[23,] 0.22772277 0.26893429
[24,] 0.23762376 0.21065052
[25,] 0.24752475 0.14658243
[26,] 0.25742574 0.08572500
[27,] 0.26732673 0.03906219
[28,] 0.27722772 0.01424416
[29,] 0.28712871 0.01235753
[30,] 0.29702970 0.02785957
[31,] 0.30693069 0.05131270
[32,] 0.31683168 0.07344388
[33,] 0.32673267 0.08866935
[34,] 0.33663366 0.09664351
[35,] 0.34653465 0.10136193
[36,] 0.35643564 0.10842641
[37,] 0.36633663 0.12181271
[38,] 0.37623762 0.14159582
[39,] 0.38613861 0.16358166
[40,] 0.39603960 0.18092180
[41,] 0.40594059 0.18693452
[42,] 0.41584158 0.17787882
[43,] 0.42574257 0.15450442
[44,] 0.43564356 0.12177138
[45,] 0.44554455 0.08693272
[46,] 0.45544554 0.05685444
[47,] 0.46534653 0.03572682
[48,] 0.47524752 0.02409515
[49,] 0.48514851 0.01952321
[50,] 0.49504950 0.01847450
frequency RSq
[1,] 0.09090909 0.60661325
[2,] 0.18181818 0.29764126
[3,] 0.27272727 0.01084788
[4,] 0.36363636 0.05642792
[5,] 0.45454545 0.02846969
frequency RSq
[1,] 0.00990099 0.249332566
[2,] 0.01980198 0.254063913
[3,] 0.02970297 0.262781562
[4,] 0.03960396 0.276952390
[5,] 0.04950495 0.299119097
[6,] 0.05940594 0.333475327
[7,] 0.06930693 0.386527536
[8,] 0.07920792 0.466991696
[9,] 0.08910891 0.582064897
[10,] 0.09900990 0.725411894
[11,] 0.10891089 0.862220732
[12,] 0.11881188 0.941848253
[13,] 0.12871287 0.940203653
[14,] 0.13861386 0.868539036
[15,] 0.14851485 0.749289764
[16,] 0.15841584 0.607375465
[17,] 0.16831683 0.466816760
[18,] 0.17821782 0.340033644
[19,] 0.18811881 0.227968369
[20,] 0.19801980 0.131989238
[21,] 0.20792079 0.059928153
[22,] 0.21782178 0.018114163
[23,] 0.22772277 0.002367339
[24,] 0.23762376 0.001467246
[25,] 0.24752475 0.005515096
[26,] 0.25742574 0.009266680
[27,] 0.26732673 0.010906785
[28,] 0.27722772 0.010445295
[29,] 0.28712871 0.009720380
[30,] 0.29702970 0.012282687
[31,] 0.30693069 0.020823608
[32,] 0.31683168 0.034212905
[33,] 0.32673267 0.048190474
[34,] 0.33663366 0.058416887
[35,] 0.34653465 0.062679110
[36,] 0.35643564 0.061029051
[37,] 0.36633663 0.053960429
[38,] 0.37623762 0.041458566
[39,] 0.38613861 0.025142444
[40,] 0.39603960 0.010326387
[41,] 0.40594059 0.002484643
[42,] 0.41584158 0.002334491
[43,] 0.42574257 0.007247518
[44,] 0.43564356 0.014607684
[45,] 0.44554455 0.022383126
[46,] 0.45544554 0.029001056
[47,] 0.46534653 0.033895327
[48,] 0.47524752 0.037234096
[49,] 0.48514851 0.039305313
[50,] 0.49504950 0.040298434
frequency RSq
[1,] 0.00990099 0.249332566
[2,] 0.01980198 0.254063913
[3,] 0.02970297 0.262781562
[4,] 0.03960396 0.276952390
[5,] 0.04950495 0.299119097
[6,] 0.05940594 0.333475327
[7,] 0.06930693 0.386527536
[8,] 0.07920792 0.466991696
[9,] 0.08910891 0.582064897
[10,] 0.09900990 0.725411894
[11,] 0.10891089 0.862220732
[12,] 0.11881188 0.941848253
[13,] 0.12871287 0.940203653
[14,] 0.13861386 0.868539036
[15,] 0.14851485 0.749289764
[16,] 0.15841584 0.607375465
[17,] 0.16831683 0.466816760
[18,] 0.17821782 0.340033644
[19,] 0.18811881 0.227968369
[20,] 0.19801980 0.131989238
[21,] 0.20792079 0.059928153
[22,] 0.21782178 0.018114163
[23,] 0.22772277 0.002367339
[24,] 0.23762376 0.001467246
[25,] 0.24752475 0.005515096
[26,] 0.25742574 0.009266680
[27,] 0.26732673 0.010906785
[28,] 0.27722772 0.010445295
[29,] 0.28712871 0.009720380
[30,] 0.29702970 0.012282687
[31,] 0.30693069 0.020823608
[32,] 0.31683168 0.034212905
[33,] 0.32673267 0.048190474
[34,] 0.33663366 0.058416887
[35,] 0.34653465 0.062679110
[36,] 0.35643564 0.061029051
[37,] 0.36633663 0.053960429
[38,] 0.37623762 0.041458566
[39,] 0.38613861 0.025142444
[40,] 0.39603960 0.010326387
[41,] 0.40594059 0.002484643
[42,] 0.41584158 0.002334491
[43,] 0.42574257 0.007247518
[44,] 0.43564356 0.014607684
[45,] 0.44554455 0.022383126
[46,] 0.45544554 0.029001056
[47,] 0.46534653 0.033895327
[48,] 0.47524752 0.037234096
[49,] 0.48514851 0.039305313
[50,] 0.49504950 0.040298434
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