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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 15:42:19 +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/t1481899348w7ffp7yt9o0xq95.htm/, Retrieved Thu, 02 May 2024 14:01:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=300322, Retrieved Thu, 02 May 2024 14:01:54 +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]
- RM D      [Spectral Analysis] [] [2016-12-16 14:42:19] [404ac5ee4f7301873f6a96ef36861981] [Current]
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Dataseries X:
5100
5100
5050
5150
5150
5050
4800
4750
4900
4950
5050
4900
4950
4850
5100
5200
5450
5150
5150
5000
5200
5350
5600
5600
5650
5550
5700
5750
5850
5750
5700
5500
5750
5750
5750
5500
5750
5750
5900
6000
6150
5950
5900
5750
5750
5800
5800
5450
5400
5600
5600
5800
5650
5700
5550
5350
5800
5700
5950
5450
5400
5400
5450
5700
5850
5850
5700
5450
5800
5600
5700
5800
5750
5850
6250
6450
6550
6500
6150
6100
6300
6350
6250
6200
6250
6450
6050
6500
6600
6450




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=300322&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=300322&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300322&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)-0.1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)0
Seasonal Period (s)1
Frequency (Period)Spectrum
0.0111 (90)3.3e-05
0.0222 (45)0.000122
0.0333 (30)1.4e-05
0.0444 (22.5)0
0.0556 (18)0.000101
0.0667 (15)3.5e-05
0.0778 (12.8571)0.000263
0.0889 (11.25)4.3e-05
0.1 (10)8.8e-05
0.1111 (9)0.000117
0.1222 (8.1818)0.000169
0.1333 (7.5)3.1e-05
0.1444 (6.9231)0.000235
0.1556 (6.4286)3e-05
0.1667 (6)0.002026
0.1778 (5.625)4.1e-05
0.1889 (5.2941)8.4e-05
0.2 (5)3.7e-05
0.2111 (4.7368)7.4e-05
0.2222 (4.5)6.3e-05
0.2333 (4.2857)8.4e-05
0.2444 (4.0909)0.000139
0.2556 (3.913)0.000169
0.2667 (3.75)7.4e-05
0.2778 (3.6)3e-06
0.2889 (3.4615)0.000246
0.3 (3.3333)2e-06
0.3111 (3.2143)0.000168
0.3222 (3.1034)0.000128
0.3333 (3)6e-06
0.3444 (2.9032)0.000123
0.3556 (2.8125)6.4e-05
0.3667 (2.7273)1.8e-05
0.3778 (2.6471)0.000162
0.3889 (2.5714)9.5e-05
0.4 (2.5)0.000214
0.4111 (2.4324)0.000507
0.4222 (2.3684)0.000323
0.4333 (2.3077)0.000148
0.4444 (2.25)6.8e-05
0.4556 (2.1951)0.00022
0.4667 (2.1429)9.1e-05
0.4778 (2.093)0.000406
0.4889 (2.0455)0.000246
0.5 (2)0.001638

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & -0.1 \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
0.0111 (90) & 3.3e-05 \tabularnewline
0.0222 (45) & 0.000122 \tabularnewline
0.0333 (30) & 1.4e-05 \tabularnewline
0.0444 (22.5) & 0 \tabularnewline
0.0556 (18) & 0.000101 \tabularnewline
0.0667 (15) & 3.5e-05 \tabularnewline
0.0778 (12.8571) & 0.000263 \tabularnewline
0.0889 (11.25) & 4.3e-05 \tabularnewline
0.1 (10) & 8.8e-05 \tabularnewline
0.1111 (9) & 0.000117 \tabularnewline
0.1222 (8.1818) & 0.000169 \tabularnewline
0.1333 (7.5) & 3.1e-05 \tabularnewline
0.1444 (6.9231) & 0.000235 \tabularnewline
0.1556 (6.4286) & 3e-05 \tabularnewline
0.1667 (6) & 0.002026 \tabularnewline
0.1778 (5.625) & 4.1e-05 \tabularnewline
0.1889 (5.2941) & 8.4e-05 \tabularnewline
0.2 (5) & 3.7e-05 \tabularnewline
0.2111 (4.7368) & 7.4e-05 \tabularnewline
0.2222 (4.5) & 6.3e-05 \tabularnewline
0.2333 (4.2857) & 8.4e-05 \tabularnewline
0.2444 (4.0909) & 0.000139 \tabularnewline
0.2556 (3.913) & 0.000169 \tabularnewline
0.2667 (3.75) & 7.4e-05 \tabularnewline
0.2778 (3.6) & 3e-06 \tabularnewline
0.2889 (3.4615) & 0.000246 \tabularnewline
0.3 (3.3333) & 2e-06 \tabularnewline
0.3111 (3.2143) & 0.000168 \tabularnewline
0.3222 (3.1034) & 0.000128 \tabularnewline
0.3333 (3) & 6e-06 \tabularnewline
0.3444 (2.9032) & 0.000123 \tabularnewline
0.3556 (2.8125) & 6.4e-05 \tabularnewline
0.3667 (2.7273) & 1.8e-05 \tabularnewline
0.3778 (2.6471) & 0.000162 \tabularnewline
0.3889 (2.5714) & 9.5e-05 \tabularnewline
0.4 (2.5) & 0.000214 \tabularnewline
0.4111 (2.4324) & 0.000507 \tabularnewline
0.4222 (2.3684) & 0.000323 \tabularnewline
0.4333 (2.3077) & 0.000148 \tabularnewline
0.4444 (2.25) & 6.8e-05 \tabularnewline
0.4556 (2.1951) & 0.00022 \tabularnewline
0.4667 (2.1429) & 9.1e-05 \tabularnewline
0.4778 (2.093) & 0.000406 \tabularnewline
0.4889 (2.0455) & 0.000246 \tabularnewline
0.5 (2) & 0.001638 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300322&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]-0.1[/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]0.0111 (90)[/C][C]3.3e-05[/C][/ROW]
[ROW][C]0.0222 (45)[/C][C]0.000122[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]1.4e-05[/C][/ROW]
[ROW][C]0.0444 (22.5)[/C][C]0[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]0.000101[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]3.5e-05[/C][/ROW]
[ROW][C]0.0778 (12.8571)[/C][C]0.000263[/C][/ROW]
[ROW][C]0.0889 (11.25)[/C][C]4.3e-05[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]8.8e-05[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]0.000117[/C][/ROW]
[ROW][C]0.1222 (8.1818)[/C][C]0.000169[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]3.1e-05[/C][/ROW]
[ROW][C]0.1444 (6.9231)[/C][C]0.000235[/C][/ROW]
[ROW][C]0.1556 (6.4286)[/C][C]3e-05[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]0.002026[/C][/ROW]
[ROW][C]0.1778 (5.625)[/C][C]4.1e-05[/C][/ROW]
[ROW][C]0.1889 (5.2941)[/C][C]8.4e-05[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]3.7e-05[/C][/ROW]
[ROW][C]0.2111 (4.7368)[/C][C]7.4e-05[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]6.3e-05[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]8.4e-05[/C][/ROW]
[ROW][C]0.2444 (4.0909)[/C][C]0.000139[/C][/ROW]
[ROW][C]0.2556 (3.913)[/C][C]0.000169[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]7.4e-05[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]3e-06[/C][/ROW]
[ROW][C]0.2889 (3.4615)[/C][C]0.000246[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]2e-06[/C][/ROW]
[ROW][C]0.3111 (3.2143)[/C][C]0.000168[/C][/ROW]
[ROW][C]0.3222 (3.1034)[/C][C]0.000128[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]6e-06[/C][/ROW]
[ROW][C]0.3444 (2.9032)[/C][C]0.000123[/C][/ROW]
[ROW][C]0.3556 (2.8125)[/C][C]6.4e-05[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]1.8e-05[/C][/ROW]
[ROW][C]0.3778 (2.6471)[/C][C]0.000162[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]9.5e-05[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]0.000214[/C][/ROW]
[ROW][C]0.4111 (2.4324)[/C][C]0.000507[/C][/ROW]
[ROW][C]0.4222 (2.3684)[/C][C]0.000323[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]0.000148[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]6.8e-05[/C][/ROW]
[ROW][C]0.4556 (2.1951)[/C][C]0.00022[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]9.1e-05[/C][/ROW]
[ROW][C]0.4778 (2.093)[/C][C]0.000406[/C][/ROW]
[ROW][C]0.4889 (2.0455)[/C][C]0.000246[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]0.001638[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300322&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300322&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)-0.1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)0
Seasonal Period (s)1
Frequency (Period)Spectrum
0.0111 (90)3.3e-05
0.0222 (45)0.000122
0.0333 (30)1.4e-05
0.0444 (22.5)0
0.0556 (18)0.000101
0.0667 (15)3.5e-05
0.0778 (12.8571)0.000263
0.0889 (11.25)4.3e-05
0.1 (10)8.8e-05
0.1111 (9)0.000117
0.1222 (8.1818)0.000169
0.1333 (7.5)3.1e-05
0.1444 (6.9231)0.000235
0.1556 (6.4286)3e-05
0.1667 (6)0.002026
0.1778 (5.625)4.1e-05
0.1889 (5.2941)8.4e-05
0.2 (5)3.7e-05
0.2111 (4.7368)7.4e-05
0.2222 (4.5)6.3e-05
0.2333 (4.2857)8.4e-05
0.2444 (4.0909)0.000139
0.2556 (3.913)0.000169
0.2667 (3.75)7.4e-05
0.2778 (3.6)3e-06
0.2889 (3.4615)0.000246
0.3 (3.3333)2e-06
0.3111 (3.2143)0.000168
0.3222 (3.1034)0.000128
0.3333 (3)6e-06
0.3444 (2.9032)0.000123
0.3556 (2.8125)6.4e-05
0.3667 (2.7273)1.8e-05
0.3778 (2.6471)0.000162
0.3889 (2.5714)9.5e-05
0.4 (2.5)0.000214
0.4111 (2.4324)0.000507
0.4222 (2.3684)0.000323
0.4333 (2.3077)0.000148
0.4444 (2.25)6.8e-05
0.4556 (2.1951)0.00022
0.4667 (2.1429)9.1e-05
0.4778 (2.093)0.000406
0.4889 (2.0455)0.000246
0.5 (2)0.001638



Parameters (Session):
par1 = FALSE ; par2 = 1 ; par3 = 2 ; par4 = 0 ; par5 = 1 ; par6 = 3 ; par7 = 1 ; par8 = 2 ; par9 = 0 ;
Parameters (R input):
par1 = -0.1 ; par2 = 1 ; par3 = 0 ; par4 = 1 ;
R code (references can be found in the software module):
par4 <- '1'
par3 <- '0'
par2 <- '0'
par1 <- '-0.1'
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')