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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 computationTue, 27 Nov 2007 03:00:18 -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/2007/Nov/27/t1196157242683o2ja0c577ipo.htm/, Retrieved Sun, 05 May 2024 13:38:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6785, Retrieved Sun, 05 May 2024 13:38:16 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [Stat Opdr4 Q2.3] [2007-11-27 10:00:18] [67794d83edd3193bd9ea9816803ddb96] [Current]
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Dataseries X:
96
75
96
102
130
127
111
108
108
122
113
111
97
124
99
118
111
121
102
102
115
123
127
117
106
88
95
105
117
128
136
128
124
119
128
104
91
99
92
117
103
117
125
94
126
105
107
87
95
63
91
90
102
104
121
107
94
96
98
75
97
81
89
85
95
97
103
99
82
90
82
94




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6785&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6785&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6785&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







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)1
Frequency (Period)Spectrum
0.0139 (72)528.18505
0.0278 (36)186.08289
0.0417 (24)48.845319
0.0556 (18)19.299855
0.0694 (14.4)160.535373
0.0833 (12)1670.066066
0.0972 (10.2857)643.675429
0.1111 (9)55.300023
0.125 (8)244.176948
0.1389 (7.2)73.250259
0.1528 (6.5455)78.889483
0.1667 (6)432.844906
0.1806 (5.5385)102.598525
0.1944 (5.1429)36.635288
0.2083 (4.8)15.65276
0.2222 (4.5)22.411592
0.2361 (4.2353)64.759613
0.25 (4)77.213576
0.2639 (3.7895)39.27414
0.2778 (3.6)30.62888
0.2917 (3.4286)98.943892
0.3056 (3.2727)48.185513
0.3194 (3.1304)133.849975
0.3333 (3)43.503724
0.3472 (2.88)28.221874
0.3611 (2.7692)4.757111
0.375 (2.6667)122.596947
0.3889 (2.5714)61.929316
0.4028 (2.4828)40.4753
0.4167 (2.4)56.902888
0.4306 (2.3226)196.734725
0.4444 (2.25)95.662809
0.4583 (2.1818)188.332409
0.4722 (2.1176)20.098274
0.4861 (2.0571)414.876643
0.5 (2)85.012321

\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) & 1 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0139 (72) & 528.18505 \tabularnewline
0.0278 (36) & 186.08289 \tabularnewline
0.0417 (24) & 48.845319 \tabularnewline
0.0556 (18) & 19.299855 \tabularnewline
0.0694 (14.4) & 160.535373 \tabularnewline
0.0833 (12) & 1670.066066 \tabularnewline
0.0972 (10.2857) & 643.675429 \tabularnewline
0.1111 (9) & 55.300023 \tabularnewline
0.125 (8) & 244.176948 \tabularnewline
0.1389 (7.2) & 73.250259 \tabularnewline
0.1528 (6.5455) & 78.889483 \tabularnewline
0.1667 (6) & 432.844906 \tabularnewline
0.1806 (5.5385) & 102.598525 \tabularnewline
0.1944 (5.1429) & 36.635288 \tabularnewline
0.2083 (4.8) & 15.65276 \tabularnewline
0.2222 (4.5) & 22.411592 \tabularnewline
0.2361 (4.2353) & 64.759613 \tabularnewline
0.25 (4) & 77.213576 \tabularnewline
0.2639 (3.7895) & 39.27414 \tabularnewline
0.2778 (3.6) & 30.62888 \tabularnewline
0.2917 (3.4286) & 98.943892 \tabularnewline
0.3056 (3.2727) & 48.185513 \tabularnewline
0.3194 (3.1304) & 133.849975 \tabularnewline
0.3333 (3) & 43.503724 \tabularnewline
0.3472 (2.88) & 28.221874 \tabularnewline
0.3611 (2.7692) & 4.757111 \tabularnewline
0.375 (2.6667) & 122.596947 \tabularnewline
0.3889 (2.5714) & 61.929316 \tabularnewline
0.4028 (2.4828) & 40.4753 \tabularnewline
0.4167 (2.4) & 56.902888 \tabularnewline
0.4306 (2.3226) & 196.734725 \tabularnewline
0.4444 (2.25) & 95.662809 \tabularnewline
0.4583 (2.1818) & 188.332409 \tabularnewline
0.4722 (2.1176) & 20.098274 \tabularnewline
0.4861 (2.0571) & 414.876643 \tabularnewline
0.5 (2) & 85.012321 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6785&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]1[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0139 (72)[/C][C]528.18505[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]186.08289[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]48.845319[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]19.299855[/C][/ROW]
[ROW][C]0.0694 (14.4)[/C][C]160.535373[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]1670.066066[/C][/ROW]
[ROW][C]0.0972 (10.2857)[/C][C]643.675429[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]55.300023[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]244.176948[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]73.250259[/C][/ROW]
[ROW][C]0.1528 (6.5455)[/C][C]78.889483[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]432.844906[/C][/ROW]
[ROW][C]0.1806 (5.5385)[/C][C]102.598525[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]36.635288[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]15.65276[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]22.411592[/C][/ROW]
[ROW][C]0.2361 (4.2353)[/C][C]64.759613[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]77.213576[/C][/ROW]
[ROW][C]0.2639 (3.7895)[/C][C]39.27414[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]30.62888[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]98.943892[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]48.185513[/C][/ROW]
[ROW][C]0.3194 (3.1304)[/C][C]133.849975[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]43.503724[/C][/ROW]
[ROW][C]0.3472 (2.88)[/C][C]28.221874[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]4.757111[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]122.596947[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]61.929316[/C][/ROW]
[ROW][C]0.4028 (2.4828)[/C][C]40.4753[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]56.902888[/C][/ROW]
[ROW][C]0.4306 (2.3226)[/C][C]196.734725[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]95.662809[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]188.332409[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]20.098274[/C][/ROW]
[ROW][C]0.4861 (2.0571)[/C][C]414.876643[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]85.012321[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6785&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6785&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)1
Frequency (Period)Spectrum
0.0139 (72)528.18505
0.0278 (36)186.08289
0.0417 (24)48.845319
0.0556 (18)19.299855
0.0694 (14.4)160.535373
0.0833 (12)1670.066066
0.0972 (10.2857)643.675429
0.1111 (9)55.300023
0.125 (8)244.176948
0.1389 (7.2)73.250259
0.1528 (6.5455)78.889483
0.1667 (6)432.844906
0.1806 (5.5385)102.598525
0.1944 (5.1429)36.635288
0.2083 (4.8)15.65276
0.2222 (4.5)22.411592
0.2361 (4.2353)64.759613
0.25 (4)77.213576
0.2639 (3.7895)39.27414
0.2778 (3.6)30.62888
0.2917 (3.4286)98.943892
0.3056 (3.2727)48.185513
0.3194 (3.1304)133.849975
0.3333 (3)43.503724
0.3472 (2.88)28.221874
0.3611 (2.7692)4.757111
0.375 (2.6667)122.596947
0.3889 (2.5714)61.929316
0.4028 (2.4828)40.4753
0.4167 (2.4)56.902888
0.4306 (2.3226)196.734725
0.4444 (2.25)95.662809
0.4583 (2.1818)188.332409
0.4722 (2.1176)20.098274
0.4861 (2.0571)414.876643
0.5 (2)85.012321



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