Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationFri, 16 Dec 2016 17:24:22 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/16/t1481905486mthfyiucuj66gid.htm/, Retrieved Thu, 02 May 2024 21:50:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=300422, Retrieved Thu, 02 May 2024 21:50:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [ARIMA Backward Selection] [] [2016-12-16 13:36:55] [683f400e1b95307fc738e729f07c4fce]
-    D  [ARIMA Backward Selection] [] [2016-12-16 14:17:56] [683f400e1b95307fc738e729f07c4fce]
- R  D    [ARIMA Backward Selection] [] [2016-12-16 14:51:40] [683f400e1b95307fc738e729f07c4fce]
- RM D        [Spectral Analysis] [] [2016-12-16 16:24:22] [404ac5ee4f7301873f6a96ef36861981] [Current]
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Dataseries X:
512
308
396
532
442
818
350
598
446
684
622
794
618
624
672
640
734
1042
760
682
1352
1196
1140
1134
1008
1262
842
890
792
1138
800
1212
1606
1686
1374
1670
1350
1056
1914
928
1296
966
1302
1822
1308
2030
2824
1342
1562
1278
2340
1826
1412
3068
1448
1202
2094
2408
2344
2386
3020
1990
2570
3664
2272
1596
3282
3870
3950
4292
3056
3170
3138
3232
3660
3310
2160
4444
2654
3226
5788
4288
4446
2778
3398
3896
2078
3230
2926
4746
2236
4306
3278
3498
2964
4184
3344
4152
2220
3520
2872
2900
1430
2730
3226
5472
4664
4566




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300422&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=300422&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300422&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center







Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)1
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0104 (96)3343247.809421
0.0208 (48)2818217.439027
0.0312 (32)412051.65259
0.0417 (24)116327.748869
0.0521 (19.2)100048.622204
0.0625 (16)465950.902344
0.0729 (13.7143)318175.175425
0.0833 (12)136750.593053
0.0938 (10.6667)266774.838906
0.1042 (9.6)1295147.444436
0.1146 (8.7273)815966.90127
0.125 (8)376918.053653
0.1354 (7.3846)2612553.821721
0.1458 (6.8571)749525.417463
0.1562 (6.4)28915.089349
0.1667 (6)5101.631105
0.1771 (5.6471)258003.667821
0.1875 (5.3333)894483.698789
0.1979 (5.0526)73090.405378
0.2083 (4.8)357801.980076
0.2187 (4.5714)850213.813583
0.2292 (4.3636)743663.549751
0.2396 (4.1739)92703.688917
0.25 (4)74237.295791
0.2604 (3.84)337228.134202
0.2708 (3.6923)117623.590856
0.2812 (3.5556)4381271.282797
0.2917 (3.4286)3440878.414007
0.3021 (3.3103)736267.059218
0.3125 (3.2)237118.33399
0.3229 (3.0968)89492.399258
0.3333 (3)14419.426255
0.3438 (2.9091)301801.484743
0.3542 (2.8235)1228167.057587
0.3646 (2.7429)691152.13714
0.375 (2.6667)1489710.485143
0.3854 (2.5946)2683557.441275
0.3958 (2.5263)63801.449579
0.4062 (2.4615)412293.064448
0.4167 (2.4)9623.778747
0.4271 (2.3415)44217.12693
0.4375 (2.2857)924391.927674
0.4479 (2.2326)1833659.13693
0.4583 (2.1818)606083.014458
0.4688 (2.1333)870901.819655
0.4792 (2.087)166523.919891
0.4896 (2.0426)504329.006058
0.5 (2)312880.364791

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 1 \tabularnewline
Degree of non-seasonal differencing (d) & 0 \tabularnewline
Degree of seasonal differencing (D) & 1 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0104 (96) & 3343247.809421 \tabularnewline
0.0208 (48) & 2818217.439027 \tabularnewline
0.0312 (32) & 412051.65259 \tabularnewline
0.0417 (24) & 116327.748869 \tabularnewline
0.0521 (19.2) & 100048.622204 \tabularnewline
0.0625 (16) & 465950.902344 \tabularnewline
0.0729 (13.7143) & 318175.175425 \tabularnewline
0.0833 (12) & 136750.593053 \tabularnewline
0.0938 (10.6667) & 266774.838906 \tabularnewline
0.1042 (9.6) & 1295147.444436 \tabularnewline
0.1146 (8.7273) & 815966.90127 \tabularnewline
0.125 (8) & 376918.053653 \tabularnewline
0.1354 (7.3846) & 2612553.821721 \tabularnewline
0.1458 (6.8571) & 749525.417463 \tabularnewline
0.1562 (6.4) & 28915.089349 \tabularnewline
0.1667 (6) & 5101.631105 \tabularnewline
0.1771 (5.6471) & 258003.667821 \tabularnewline
0.1875 (5.3333) & 894483.698789 \tabularnewline
0.1979 (5.0526) & 73090.405378 \tabularnewline
0.2083 (4.8) & 357801.980076 \tabularnewline
0.2187 (4.5714) & 850213.813583 \tabularnewline
0.2292 (4.3636) & 743663.549751 \tabularnewline
0.2396 (4.1739) & 92703.688917 \tabularnewline
0.25 (4) & 74237.295791 \tabularnewline
0.2604 (3.84) & 337228.134202 \tabularnewline
0.2708 (3.6923) & 117623.590856 \tabularnewline
0.2812 (3.5556) & 4381271.282797 \tabularnewline
0.2917 (3.4286) & 3440878.414007 \tabularnewline
0.3021 (3.3103) & 736267.059218 \tabularnewline
0.3125 (3.2) & 237118.33399 \tabularnewline
0.3229 (3.0968) & 89492.399258 \tabularnewline
0.3333 (3) & 14419.426255 \tabularnewline
0.3438 (2.9091) & 301801.484743 \tabularnewline
0.3542 (2.8235) & 1228167.057587 \tabularnewline
0.3646 (2.7429) & 691152.13714 \tabularnewline
0.375 (2.6667) & 1489710.485143 \tabularnewline
0.3854 (2.5946) & 2683557.441275 \tabularnewline
0.3958 (2.5263) & 63801.449579 \tabularnewline
0.4062 (2.4615) & 412293.064448 \tabularnewline
0.4167 (2.4) & 9623.778747 \tabularnewline
0.4271 (2.3415) & 44217.12693 \tabularnewline
0.4375 (2.2857) & 924391.927674 \tabularnewline
0.4479 (2.2326) & 1833659.13693 \tabularnewline
0.4583 (2.1818) & 606083.014458 \tabularnewline
0.4688 (2.1333) & 870901.819655 \tabularnewline
0.4792 (2.087) & 166523.919891 \tabularnewline
0.4896 (2.0426) & 504329.006058 \tabularnewline
0.5 (2) & 312880.364791 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300422&T=1

[TABLE]
[ROW][C]Raw Periodogram[/C][/ROW]
[ROW][C]Parameter[/C][C]Value[/C][/ROW]
[ROW][C]Box-Cox transformation parameter (lambda)[/C][C]1[/C][/ROW]
[ROW][C]Degree of non-seasonal differencing (d)[/C][C]0[/C][/ROW]
[ROW][C]Degree of seasonal differencing (D)[/C][C]1[/C][/ROW]
[ROW][C]Seasonal Period (s)[/C][C]12[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0104 (96)[/C][C]3343247.809421[/C][/ROW]
[ROW][C]0.0208 (48)[/C][C]2818217.439027[/C][/ROW]
[ROW][C]0.0312 (32)[/C][C]412051.65259[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]116327.748869[/C][/ROW]
[ROW][C]0.0521 (19.2)[/C][C]100048.622204[/C][/ROW]
[ROW][C]0.0625 (16)[/C][C]465950.902344[/C][/ROW]
[ROW][C]0.0729 (13.7143)[/C][C]318175.175425[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]136750.593053[/C][/ROW]
[ROW][C]0.0938 (10.6667)[/C][C]266774.838906[/C][/ROW]
[ROW][C]0.1042 (9.6)[/C][C]1295147.444436[/C][/ROW]
[ROW][C]0.1146 (8.7273)[/C][C]815966.90127[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]376918.053653[/C][/ROW]
[ROW][C]0.1354 (7.3846)[/C][C]2612553.821721[/C][/ROW]
[ROW][C]0.1458 (6.8571)[/C][C]749525.417463[/C][/ROW]
[ROW][C]0.1562 (6.4)[/C][C]28915.089349[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]5101.631105[/C][/ROW]
[ROW][C]0.1771 (5.6471)[/C][C]258003.667821[/C][/ROW]
[ROW][C]0.1875 (5.3333)[/C][C]894483.698789[/C][/ROW]
[ROW][C]0.1979 (5.0526)[/C][C]73090.405378[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]357801.980076[/C][/ROW]
[ROW][C]0.2187 (4.5714)[/C][C]850213.813583[/C][/ROW]
[ROW][C]0.2292 (4.3636)[/C][C]743663.549751[/C][/ROW]
[ROW][C]0.2396 (4.1739)[/C][C]92703.688917[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]74237.295791[/C][/ROW]
[ROW][C]0.2604 (3.84)[/C][C]337228.134202[/C][/ROW]
[ROW][C]0.2708 (3.6923)[/C][C]117623.590856[/C][/ROW]
[ROW][C]0.2812 (3.5556)[/C][C]4381271.282797[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]3440878.414007[/C][/ROW]
[ROW][C]0.3021 (3.3103)[/C][C]736267.059218[/C][/ROW]
[ROW][C]0.3125 (3.2)[/C][C]237118.33399[/C][/ROW]
[ROW][C]0.3229 (3.0968)[/C][C]89492.399258[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]14419.426255[/C][/ROW]
[ROW][C]0.3438 (2.9091)[/C][C]301801.484743[/C][/ROW]
[ROW][C]0.3542 (2.8235)[/C][C]1228167.057587[/C][/ROW]
[ROW][C]0.3646 (2.7429)[/C][C]691152.13714[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]1489710.485143[/C][/ROW]
[ROW][C]0.3854 (2.5946)[/C][C]2683557.441275[/C][/ROW]
[ROW][C]0.3958 (2.5263)[/C][C]63801.449579[/C][/ROW]
[ROW][C]0.4062 (2.4615)[/C][C]412293.064448[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]9623.778747[/C][/ROW]
[ROW][C]0.4271 (2.3415)[/C][C]44217.12693[/C][/ROW]
[ROW][C]0.4375 (2.2857)[/C][C]924391.927674[/C][/ROW]
[ROW][C]0.4479 (2.2326)[/C][C]1833659.13693[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]606083.014458[/C][/ROW]
[ROW][C]0.4688 (2.1333)[/C][C]870901.819655[/C][/ROW]
[ROW][C]0.4792 (2.087)[/C][C]166523.919891[/C][/ROW]
[ROW][C]0.4896 (2.0426)[/C][C]504329.006058[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]312880.364791[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300422&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300422&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)1
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0104 (96)3343247.809421
0.0208 (48)2818217.439027
0.0312 (32)412051.65259
0.0417 (24)116327.748869
0.0521 (19.2)100048.622204
0.0625 (16)465950.902344
0.0729 (13.7143)318175.175425
0.0833 (12)136750.593053
0.0938 (10.6667)266774.838906
0.1042 (9.6)1295147.444436
0.1146 (8.7273)815966.90127
0.125 (8)376918.053653
0.1354 (7.3846)2612553.821721
0.1458 (6.8571)749525.417463
0.1562 (6.4)28915.089349
0.1667 (6)5101.631105
0.1771 (5.6471)258003.667821
0.1875 (5.3333)894483.698789
0.1979 (5.0526)73090.405378
0.2083 (4.8)357801.980076
0.2187 (4.5714)850213.813583
0.2292 (4.3636)743663.549751
0.2396 (4.1739)92703.688917
0.25 (4)74237.295791
0.2604 (3.84)337228.134202
0.2708 (3.6923)117623.590856
0.2812 (3.5556)4381271.282797
0.2917 (3.4286)3440878.414007
0.3021 (3.3103)736267.059218
0.3125 (3.2)237118.33399
0.3229 (3.0968)89492.399258
0.3333 (3)14419.426255
0.3438 (2.9091)301801.484743
0.3542 (2.8235)1228167.057587
0.3646 (2.7429)691152.13714
0.375 (2.6667)1489710.485143
0.3854 (2.5946)2683557.441275
0.3958 (2.5263)63801.449579
0.4062 (2.4615)412293.064448
0.4167 (2.4)9623.778747
0.4271 (2.3415)44217.12693
0.4375 (2.2857)924391.927674
0.4479 (2.2326)1833659.13693
0.4583 (2.1818)606083.014458
0.4688 (2.1333)870901.819655
0.4792 (2.087)166523.919891
0.4896 (2.0426)504329.006058
0.5 (2)312880.364791



Parameters (Session):
par1 = FALSE ; par2 = 1 ; par3 = 2 ; par4 = 0 ; par5 = 1 ; par6 = 3 ; par7 = 1 ; par8 = 2 ; par9 = 0 ;
Parameters (R input):
par1 = 1 ; par2 = 0 ; par3 = 1 ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '1'
par3 <- '0'
par2 <- '1'
par1 <- '1'
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
if (par1 == 0) {
x <- log(x)
} else {
x <- (x ^ par1 - 1) / par1
}
if (par2 > 0) x <- diff(x,lag=1,difference=par2)
if (par3 > 0) x <- diff(x,lag=par4,difference=par3)
bitmap(file='test1.png')
r <- spectrum(x,main='Raw Periodogram')
dev.off()
bitmap(file='test2.png')
cpgram(x,main='Cumulative Periodogram')
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Raw Periodogram',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Box-Cox transformation parameter (lambda)',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of non-seasonal differencing (d)',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of seasonal differencing (D)',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Seasonal Period (s)',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Frequency (Period)',header=TRUE)
a<-table.element(a,'Spectrum',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(r$freq)) {
a<-table.row.start(a)
mylab <- round(r$freq[i],4)
mylab <- paste(mylab,' (',sep='')
mylab <- paste(mylab,round(1/r$freq[i],4),sep='')
mylab <- paste(mylab,')',sep='')
a<-table.element(a,mylab,header=TRUE)
a<-table.element(a,round(r$spec[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')