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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationTue, 16 Dec 2008 12:12:18 -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/2008/Dec/16/t1229454807uwf9vagf1r8vz8h.htm/, Retrieved Tue, 02 Jun 2026 23:03:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34128, Retrieved Tue, 02 Jun 2026 23:03:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspaper autocor D,d 0,1 werk
Estimated Impact440

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [(Partial) Autocorrelation Function] [Paper: autocorrel...] [2008-12-05 10:20:24] [27f46dbe13ae2811dfd3a6f3c54d4d50]
F   PD  [(Partial) Autocorrelation Function] [Paper: autocorrel...] [2008-12-05 10:26:40] [27f46dbe13ae2811dfd3a6f3c54d4d50]
- RMPD      [Spectral Analysis] [paper autocor D,d...] [2008-12-16 19:12:18] [e9c861930c027d1bae8828281431911e] [Current]
-    D        [Spectral Analysis] [paper spec D,d 0,...] [2008-12-18 14:13:25] [5de5fb433ddcb9578e0fa830f795b7e9]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
95.20
95.00
94.00
92.20
91.00
91.20
103.40
105.00
104.60
103.80
101.80
102.40
103.80
103.40
102.00
101.80
100.20
101.40
113.80
116.00
115.60
113.00
109.40
111.00
112.40
112.20
111.00
108.80
107.40
108.60
118.80
122.20
122.60
122.20
118.80
119.00
118.20
117.80
116.80
114.60
113.40
113.80
124.20
125.80
125.60
122.40
119.00
119.40
118.60
118.00
116.00
114.80
114.60
114.60
124.00
125.20
124.00
117.60
113.20
111.40
112.20
109.80
106.40
105.20
102.20
99.80
111.00
113.00
108.40
105.40
102.00
102.80

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34128&T=0

[TABLE]
[ROW][C]Summary of computational 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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34128&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34128&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)0
Seasonal Period (s)1
Frequency (Period)Spectrum
0.0139 (72)0.529718
0.0278 (36)1.499673
0.0417 (24)1.963919
0.0556 (18)2.682549
0.0694 (14.4)0.083688
0.0833 (12)105.94798
0.0972 (10.2857)2.636439
0.1111 (9)1.339014
0.125 (8)0.000484
0.1389 (7.2)4.008439
0.1528 (6.5455)0.714812
0.1667 (6)201.038673
0.1806 (5.5385)0.38107
0.1944 (5.1429)1.295898
0.2083 (4.8)0.602836
0.2222 (4.5)1.47126
0.2361 (4.2353)0.013143
0.25 (4)43.821306
0.2639 (3.7895)2.325927
0.2778 (3.6)2.357261
0.2917 (3.4286)1.646192
0.3056 (3.2727)0.753529
0.3194 (3.1304)0.336701
0.3333 (3)54.93902
0.3472 (2.88)4.750441
0.3611 (2.7692)0.018518
0.375 (2.6667)0.992775
0.3889 (2.5714)0.099676
0.4028 (2.4828)0.291632
0.4167 (2.4)49.712083
0.4306 (2.3226)0.976112
0.4444 (2.25)2.163524
0.4583 (2.1818)0.04244
0.4722 (2.1176)0.298163
0.4861 (2.0571)1.010685
0.5 (2)25.281949

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 1 \tabularnewline
Degree of non-seasonal differencing (d) & 1 \tabularnewline
Degree of seasonal differencing (D) & 0 \tabularnewline
Seasonal Period (s) & 1 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0139 (72) & 0.529718 \tabularnewline
0.0278 (36) & 1.499673 \tabularnewline
0.0417 (24) & 1.963919 \tabularnewline
0.0556 (18) & 2.682549 \tabularnewline
0.0694 (14.4) & 0.083688 \tabularnewline
0.0833 (12) & 105.94798 \tabularnewline
0.0972 (10.2857) & 2.636439 \tabularnewline
0.1111 (9) & 1.339014 \tabularnewline
0.125 (8) & 0.000484 \tabularnewline
0.1389 (7.2) & 4.008439 \tabularnewline
0.1528 (6.5455) & 0.714812 \tabularnewline
0.1667 (6) & 201.038673 \tabularnewline
0.1806 (5.5385) & 0.38107 \tabularnewline
0.1944 (5.1429) & 1.295898 \tabularnewline
0.2083 (4.8) & 0.602836 \tabularnewline
0.2222 (4.5) & 1.47126 \tabularnewline
0.2361 (4.2353) & 0.013143 \tabularnewline
0.25 (4) & 43.821306 \tabularnewline
0.2639 (3.7895) & 2.325927 \tabularnewline
0.2778 (3.6) & 2.357261 \tabularnewline
0.2917 (3.4286) & 1.646192 \tabularnewline
0.3056 (3.2727) & 0.753529 \tabularnewline
0.3194 (3.1304) & 0.336701 \tabularnewline
0.3333 (3) & 54.93902 \tabularnewline
0.3472 (2.88) & 4.750441 \tabularnewline
0.3611 (2.7692) & 0.018518 \tabularnewline
0.375 (2.6667) & 0.992775 \tabularnewline
0.3889 (2.5714) & 0.099676 \tabularnewline
0.4028 (2.4828) & 0.291632 \tabularnewline
0.4167 (2.4) & 49.712083 \tabularnewline
0.4306 (2.3226) & 0.976112 \tabularnewline
0.4444 (2.25) & 2.163524 \tabularnewline
0.4583 (2.1818) & 0.04244 \tabularnewline
0.4722 (2.1176) & 0.298163 \tabularnewline
0.4861 (2.0571) & 1.010685 \tabularnewline
0.5 (2) & 25.281949 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34128&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]1[/C][/ROW]
[ROW][C]Degree of seasonal differencing (D)[/C][C]0[/C][/ROW]
[ROW][C]Seasonal Period (s)[/C][C]1[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0139 (72)[/C][C]0.529718[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]1.499673[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]1.963919[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]2.682549[/C][/ROW]
[ROW][C]0.0694 (14.4)[/C][C]0.083688[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]105.94798[/C][/ROW]
[ROW][C]0.0972 (10.2857)[/C][C]2.636439[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]1.339014[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]0.000484[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]4.008439[/C][/ROW]
[ROW][C]0.1528 (6.5455)[/C][C]0.714812[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]201.038673[/C][/ROW]
[ROW][C]0.1806 (5.5385)[/C][C]0.38107[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]1.295898[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]0.602836[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]1.47126[/C][/ROW]
[ROW][C]0.2361 (4.2353)[/C][C]0.013143[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]43.821306[/C][/ROW]
[ROW][C]0.2639 (3.7895)[/C][C]2.325927[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]2.357261[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]1.646192[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]0.753529[/C][/ROW]
[ROW][C]0.3194 (3.1304)[/C][C]0.336701[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]54.93902[/C][/ROW]
[ROW][C]0.3472 (2.88)[/C][C]4.750441[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]0.018518[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]0.992775[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]0.099676[/C][/ROW]
[ROW][C]0.4028 (2.4828)[/C][C]0.291632[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]49.712083[/C][/ROW]
[ROW][C]0.4306 (2.3226)[/C][C]0.976112[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]2.163524[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]0.04244[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]0.298163[/C][/ROW]
[ROW][C]0.4861 (2.0571)[/C][C]1.010685[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]25.281949[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34128&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34128&T=1

As an alternative you can also use a QR Code:  
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)1
Degree of seasonal differencing (D)0
Seasonal Period (s)1
Frequency (Period)Spectrum
0.0139 (72)0.529718
0.0278 (36)1.499673
0.0417 (24)1.963919
0.0556 (18)2.682549
0.0694 (14.4)0.083688
0.0833 (12)105.94798
0.0972 (10.2857)2.636439
0.1111 (9)1.339014
0.125 (8)0.000484
0.1389 (7.2)4.008439
0.1528 (6.5455)0.714812
0.1667 (6)201.038673
0.1806 (5.5385)0.38107
0.1944 (5.1429)1.295898
0.2083 (4.8)0.602836
0.2222 (4.5)1.47126
0.2361 (4.2353)0.013143
0.25 (4)43.821306
0.2639 (3.7895)2.325927
0.2778 (3.6)2.357261
0.2917 (3.4286)1.646192
0.3056 (3.2727)0.753529
0.3194 (3.1304)0.336701
0.3333 (3)54.93902
0.3472 (2.88)4.750441
0.3611 (2.7692)0.018518
0.375 (2.6667)0.992775
0.3889 (2.5714)0.099676
0.4028 (2.4828)0.291632
0.4167 (2.4)49.712083
0.4306 (2.3226)0.976112
0.4444 (2.25)2.163524
0.4583 (2.1818)0.04244
0.4722 (2.1176)0.298163
0.4861 (2.0571)1.010685
0.5 (2)25.281949


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 1 ; par3 = 0 ; par4 = 1 ;
Parameters (R input):
par1 = 1 ; par2 = 1 ; par3 = 0 ; par4 = 1 ;
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')