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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationWed, 28 Nov 2007 10:22:41 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/28/t1196269938emh13txpl8udp5l.htm/, Retrieved Thu, 02 May 2024 06:28:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7165, Retrieved Thu, 02 May 2024 06:28:42 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbridome
Estimated Impact171
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [workshop3] [2007-11-28 17:22:41] [9cd804c1ac16035a4cb2da1c6dfdb61e] [Current]
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Dataseries X:
2863
2688
3041
3119
3102
4608
3466
3748
4541
3650
4274
3827
3778
3453
4160
3595
3914
4159
3676
3794
3446
3504
3958
3353
3480
3098
2944
3389
3497
4404
3849
3734
3060
3507
3287
3215
3764
2734
2837
2766
3851
3289
3848
3348
3682
4058
3655
3811
3341
3032
3475
3353
3186
3902
4164
3499
4145
3796
3711
3949
3740
3243
4407
4814
3908
5250
3937
4004
5560
3922
3759
4138
4634
3996
4307
4142
4429
5219
4929
5754
5591
4162
4947
5208
4754
4487
5719
5719
4994
6032
4897
5339
5571
4635
4733
5004
5322
4168
4633
4763
4252
4996
4261
4084
5084
4236














Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7165&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7165&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7165&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)1
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0093 (108)4008290.457187
0.0185 (54)1715015.530596
0.0278 (36)1221442.062224
0.037 (27)600389.852562
0.0463 (21.6)77384.645009
0.0556 (18)273288.120147
0.0648 (15.4286)252888.09632
0.0741 (13.5)6211.384357
0.0833 (12)1467689.040364
0.0926 (10.8)233272.654818
0.1019 (9.8182)116498.010986
0.1111 (9)76412.922362
0.1204 (8.3077)241716.66773
0.1296 (7.7143)69094.005266
0.1389 (7.2)172251.191719
0.1481 (6.75)52531.205174
0.1574 (6.3529)197236.338608
0.1667 (6)179510.864248
0.1759 (5.6842)219546.404965
0.1852 (5.4)214073.587102
0.1944 (5.1429)9095.401175
0.2037 (4.9091)92773.679348
0.213 (4.6957)245829.673338
0.2222 (4.5)194412.919408
0.2315 (4.32)18118.00653
0.2407 (4.1538)141087.4092
0.25 (4)86158.13598
0.2593 (3.8571)205964.603873
0.2685 (3.7241)59842.2799
0.2778 (3.6)218774.913477
0.287 (3.4839)121610.881082
0.2963 (3.375)175779.732231
0.3056 (3.2727)264803.799871
0.3148 (3.1765)13718.589411
0.3241 (3.0857)121402.975416
0.3333 (3)1246785.413491
0.3426 (2.9189)806977.210221
0.3519 (2.8421)425002.081351
0.3611 (2.7692)22613.378503
0.3704 (2.7)80095.023365
0.3796 (2.6341)39021.990957
0.3889 (2.5714)75278.766036
0.3981 (2.5116)9846.000171
0.4074 (2.4545)61707.226592
0.4167 (2.4)694018.63939
0.4259 (2.3478)281248.661171
0.4352 (2.2979)377871.61918
0.4444 (2.25)69210.377035
0.4537 (2.2041)120544.825436
0.463 (2.16)168676.066987
0.4722 (2.1176)77678.591169
0.4815 (2.0769)5574.235803
0.4907 (2.0377)10363.727108
0.5 (2)114176.979709

\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) & 0 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0093 (108) & 4008290.457187 \tabularnewline
0.0185 (54) & 1715015.530596 \tabularnewline
0.0278 (36) & 1221442.062224 \tabularnewline
0.037 (27) & 600389.852562 \tabularnewline
0.0463 (21.6) & 77384.645009 \tabularnewline
0.0556 (18) & 273288.120147 \tabularnewline
0.0648 (15.4286) & 252888.09632 \tabularnewline
0.0741 (13.5) & 6211.384357 \tabularnewline
0.0833 (12) & 1467689.040364 \tabularnewline
0.0926 (10.8) & 233272.654818 \tabularnewline
0.1019 (9.8182) & 116498.010986 \tabularnewline
0.1111 (9) & 76412.922362 \tabularnewline
0.1204 (8.3077) & 241716.66773 \tabularnewline
0.1296 (7.7143) & 69094.005266 \tabularnewline
0.1389 (7.2) & 172251.191719 \tabularnewline
0.1481 (6.75) & 52531.205174 \tabularnewline
0.1574 (6.3529) & 197236.338608 \tabularnewline
0.1667 (6) & 179510.864248 \tabularnewline
0.1759 (5.6842) & 219546.404965 \tabularnewline
0.1852 (5.4) & 214073.587102 \tabularnewline
0.1944 (5.1429) & 9095.401175 \tabularnewline
0.2037 (4.9091) & 92773.679348 \tabularnewline
0.213 (4.6957) & 245829.673338 \tabularnewline
0.2222 (4.5) & 194412.919408 \tabularnewline
0.2315 (4.32) & 18118.00653 \tabularnewline
0.2407 (4.1538) & 141087.4092 \tabularnewline
0.25 (4) & 86158.13598 \tabularnewline
0.2593 (3.8571) & 205964.603873 \tabularnewline
0.2685 (3.7241) & 59842.2799 \tabularnewline
0.2778 (3.6) & 218774.913477 \tabularnewline
0.287 (3.4839) & 121610.881082 \tabularnewline
0.2963 (3.375) & 175779.732231 \tabularnewline
0.3056 (3.2727) & 264803.799871 \tabularnewline
0.3148 (3.1765) & 13718.589411 \tabularnewline
0.3241 (3.0857) & 121402.975416 \tabularnewline
0.3333 (3) & 1246785.413491 \tabularnewline
0.3426 (2.9189) & 806977.210221 \tabularnewline
0.3519 (2.8421) & 425002.081351 \tabularnewline
0.3611 (2.7692) & 22613.378503 \tabularnewline
0.3704 (2.7) & 80095.023365 \tabularnewline
0.3796 (2.6341) & 39021.990957 \tabularnewline
0.3889 (2.5714) & 75278.766036 \tabularnewline
0.3981 (2.5116) & 9846.000171 \tabularnewline
0.4074 (2.4545) & 61707.226592 \tabularnewline
0.4167 (2.4) & 694018.63939 \tabularnewline
0.4259 (2.3478) & 281248.661171 \tabularnewline
0.4352 (2.2979) & 377871.61918 \tabularnewline
0.4444 (2.25) & 69210.377035 \tabularnewline
0.4537 (2.2041) & 120544.825436 \tabularnewline
0.463 (2.16) & 168676.066987 \tabularnewline
0.4722 (2.1176) & 77678.591169 \tabularnewline
0.4815 (2.0769) & 5574.235803 \tabularnewline
0.4907 (2.0377) & 10363.727108 \tabularnewline
0.5 (2) & 114176.979709 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7165&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]0[/C][/ROW]
[ROW][C]Seasonal Period (s)[/C][C]12[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0093 (108)[/C][C]4008290.457187[/C][/ROW]
[ROW][C]0.0185 (54)[/C][C]1715015.530596[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]1221442.062224[/C][/ROW]
[ROW][C]0.037 (27)[/C][C]600389.852562[/C][/ROW]
[ROW][C]0.0463 (21.6)[/C][C]77384.645009[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]273288.120147[/C][/ROW]
[ROW][C]0.0648 (15.4286)[/C][C]252888.09632[/C][/ROW]
[ROW][C]0.0741 (13.5)[/C][C]6211.384357[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]1467689.040364[/C][/ROW]
[ROW][C]0.0926 (10.8)[/C][C]233272.654818[/C][/ROW]
[ROW][C]0.1019 (9.8182)[/C][C]116498.010986[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]76412.922362[/C][/ROW]
[ROW][C]0.1204 (8.3077)[/C][C]241716.66773[/C][/ROW]
[ROW][C]0.1296 (7.7143)[/C][C]69094.005266[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]172251.191719[/C][/ROW]
[ROW][C]0.1481 (6.75)[/C][C]52531.205174[/C][/ROW]
[ROW][C]0.1574 (6.3529)[/C][C]197236.338608[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]179510.864248[/C][/ROW]
[ROW][C]0.1759 (5.6842)[/C][C]219546.404965[/C][/ROW]
[ROW][C]0.1852 (5.4)[/C][C]214073.587102[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]9095.401175[/C][/ROW]
[ROW][C]0.2037 (4.9091)[/C][C]92773.679348[/C][/ROW]
[ROW][C]0.213 (4.6957)[/C][C]245829.673338[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]194412.919408[/C][/ROW]
[ROW][C]0.2315 (4.32)[/C][C]18118.00653[/C][/ROW]
[ROW][C]0.2407 (4.1538)[/C][C]141087.4092[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]86158.13598[/C][/ROW]
[ROW][C]0.2593 (3.8571)[/C][C]205964.603873[/C][/ROW]
[ROW][C]0.2685 (3.7241)[/C][C]59842.2799[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]218774.913477[/C][/ROW]
[ROW][C]0.287 (3.4839)[/C][C]121610.881082[/C][/ROW]
[ROW][C]0.2963 (3.375)[/C][C]175779.732231[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]264803.799871[/C][/ROW]
[ROW][C]0.3148 (3.1765)[/C][C]13718.589411[/C][/ROW]
[ROW][C]0.3241 (3.0857)[/C][C]121402.975416[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]1246785.413491[/C][/ROW]
[ROW][C]0.3426 (2.9189)[/C][C]806977.210221[/C][/ROW]
[ROW][C]0.3519 (2.8421)[/C][C]425002.081351[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]22613.378503[/C][/ROW]
[ROW][C]0.3704 (2.7)[/C][C]80095.023365[/C][/ROW]
[ROW][C]0.3796 (2.6341)[/C][C]39021.990957[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]75278.766036[/C][/ROW]
[ROW][C]0.3981 (2.5116)[/C][C]9846.000171[/C][/ROW]
[ROW][C]0.4074 (2.4545)[/C][C]61707.226592[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]694018.63939[/C][/ROW]
[ROW][C]0.4259 (2.3478)[/C][C]281248.661171[/C][/ROW]
[ROW][C]0.4352 (2.2979)[/C][C]377871.61918[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]69210.377035[/C][/ROW]
[ROW][C]0.4537 (2.2041)[/C][C]120544.825436[/C][/ROW]
[ROW][C]0.463 (2.16)[/C][C]168676.066987[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]77678.591169[/C][/ROW]
[ROW][C]0.4815 (2.0769)[/C][C]5574.235803[/C][/ROW]
[ROW][C]0.4907 (2.0377)[/C][C]10363.727108[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]114176.979709[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7165&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7165&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)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0093 (108)4008290.457187
0.0185 (54)1715015.530596
0.0278 (36)1221442.062224
0.037 (27)600389.852562
0.0463 (21.6)77384.645009
0.0556 (18)273288.120147
0.0648 (15.4286)252888.09632
0.0741 (13.5)6211.384357
0.0833 (12)1467689.040364
0.0926 (10.8)233272.654818
0.1019 (9.8182)116498.010986
0.1111 (9)76412.922362
0.1204 (8.3077)241716.66773
0.1296 (7.7143)69094.005266
0.1389 (7.2)172251.191719
0.1481 (6.75)52531.205174
0.1574 (6.3529)197236.338608
0.1667 (6)179510.864248
0.1759 (5.6842)219546.404965
0.1852 (5.4)214073.587102
0.1944 (5.1429)9095.401175
0.2037 (4.9091)92773.679348
0.213 (4.6957)245829.673338
0.2222 (4.5)194412.919408
0.2315 (4.32)18118.00653
0.2407 (4.1538)141087.4092
0.25 (4)86158.13598
0.2593 (3.8571)205964.603873
0.2685 (3.7241)59842.2799
0.2778 (3.6)218774.913477
0.287 (3.4839)121610.881082
0.2963 (3.375)175779.732231
0.3056 (3.2727)264803.799871
0.3148 (3.1765)13718.589411
0.3241 (3.0857)121402.975416
0.3333 (3)1246785.413491
0.3426 (2.9189)806977.210221
0.3519 (2.8421)425002.081351
0.3611 (2.7692)22613.378503
0.3704 (2.7)80095.023365
0.3796 (2.6341)39021.990957
0.3889 (2.5714)75278.766036
0.3981 (2.5116)9846.000171
0.4074 (2.4545)61707.226592
0.4167 (2.4)694018.63939
0.4259 (2.3478)281248.661171
0.4352 (2.2979)377871.61918
0.4444 (2.25)69210.377035
0.4537 (2.2041)120544.825436
0.463 (2.16)168676.066987
0.4722 (2.1176)77678.591169
0.4815 (2.0769)5574.235803
0.4907 (2.0377)10363.727108
0.5 (2)114176.979709



Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;
Parameters (R input):
par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;
R code (references can be found in the software module):
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')