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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationThu, 22 Dec 2016 23:15:57 +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/22/t1482445081dibstaqkaod2z8j.htm/, Retrieved Mon, 29 Apr 2024 07:13:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=302716, Retrieved Mon, 29 Apr 2024 07:13:10 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [Spectral analysis...] [2016-12-22 22:15:57] [d4ebbcc95b180bc93fc42d05f31a3dde] [Current]
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Dataseries X:
5500
3860
4880
4420
4900
4230
3970
4690
4190
4960
5590
5000
6030
4690
4090
5070
5050
4520
5070
4290
4400
5080
4180
5230
5200
3800
5010
4420
4810
4690
5390
4730
4770
4690
4450
5400
5590
4360
5370
4660
4450
4980
4590
4580
4290
4840
5100
6170
5990
4950
5310




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=302716&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=302716&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302716&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
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0185 (54)0.004664
0.037 (27)0.001775
0.0556 (18)0.026395
0.0741 (13.5)0.011618
0.0926 (10.8)0.004268
0.1111 (9)0.026285
0.1296 (7.7143)0.004423
0.1481 (6.75)0.008575
0.1667 (6)0.030014
0.1852 (5.4)0.002399
0.2037 (4.9091)0.004721
0.2222 (4.5)0.001638
0.2407 (4.1538)0.000838
0.2593 (3.8571)0.012823
0.2778 (3.6)0.000943
0.2963 (3.375)5.3e-05
0.3148 (3.1765)0.002437
0.3333 (3)0.018727
0.3519 (2.8421)0.052665
0.3704 (2.7)0.014112
0.3889 (2.5714)0.015405
0.4074 (2.4545)0.008777
0.4259 (2.3478)0.014164
0.4444 (2.25)0.000909
0.463 (2.16)0.004953
0.4815 (2.0769)0.00363
0.5 (2)0.006429

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 0 \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
0.0185 (54) & 0.004664 \tabularnewline
0.037 (27) & 0.001775 \tabularnewline
0.0556 (18) & 0.026395 \tabularnewline
0.0741 (13.5) & 0.011618 \tabularnewline
0.0926 (10.8) & 0.004268 \tabularnewline
0.1111 (9) & 0.026285 \tabularnewline
0.1296 (7.7143) & 0.004423 \tabularnewline
0.1481 (6.75) & 0.008575 \tabularnewline
0.1667 (6) & 0.030014 \tabularnewline
0.1852 (5.4) & 0.002399 \tabularnewline
0.2037 (4.9091) & 0.004721 \tabularnewline
0.2222 (4.5) & 0.001638 \tabularnewline
0.2407 (4.1538) & 0.000838 \tabularnewline
0.2593 (3.8571) & 0.012823 \tabularnewline
0.2778 (3.6) & 0.000943 \tabularnewline
0.2963 (3.375) & 5.3e-05 \tabularnewline
0.3148 (3.1765) & 0.002437 \tabularnewline
0.3333 (3) & 0.018727 \tabularnewline
0.3519 (2.8421) & 0.052665 \tabularnewline
0.3704 (2.7) & 0.014112 \tabularnewline
0.3889 (2.5714) & 0.015405 \tabularnewline
0.4074 (2.4545) & 0.008777 \tabularnewline
0.4259 (2.3478) & 0.014164 \tabularnewline
0.4444 (2.25) & 0.000909 \tabularnewline
0.463 (2.16) & 0.004953 \tabularnewline
0.4815 (2.0769) & 0.00363 \tabularnewline
0.5 (2) & 0.006429 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302716&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[/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]0.0185 (54)[/C][C]0.004664[/C][/ROW]
[ROW][C]0.037 (27)[/C][C]0.001775[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]0.026395[/C][/ROW]
[ROW][C]0.0741 (13.5)[/C][C]0.011618[/C][/ROW]
[ROW][C]0.0926 (10.8)[/C][C]0.004268[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]0.026285[/C][/ROW]
[ROW][C]0.1296 (7.7143)[/C][C]0.004423[/C][/ROW]
[ROW][C]0.1481 (6.75)[/C][C]0.008575[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]0.030014[/C][/ROW]
[ROW][C]0.1852 (5.4)[/C][C]0.002399[/C][/ROW]
[ROW][C]0.2037 (4.9091)[/C][C]0.004721[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]0.001638[/C][/ROW]
[ROW][C]0.2407 (4.1538)[/C][C]0.000838[/C][/ROW]
[ROW][C]0.2593 (3.8571)[/C][C]0.012823[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]0.000943[/C][/ROW]
[ROW][C]0.2963 (3.375)[/C][C]5.3e-05[/C][/ROW]
[ROW][C]0.3148 (3.1765)[/C][C]0.002437[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]0.018727[/C][/ROW]
[ROW][C]0.3519 (2.8421)[/C][C]0.052665[/C][/ROW]
[ROW][C]0.3704 (2.7)[/C][C]0.014112[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]0.015405[/C][/ROW]
[ROW][C]0.4074 (2.4545)[/C][C]0.008777[/C][/ROW]
[ROW][C]0.4259 (2.3478)[/C][C]0.014164[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]0.000909[/C][/ROW]
[ROW][C]0.463 (2.16)[/C][C]0.004953[/C][/ROW]
[ROW][C]0.4815 (2.0769)[/C][C]0.00363[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]0.006429[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=302716&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302716&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
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0185 (54)0.004664
0.037 (27)0.001775
0.0556 (18)0.026395
0.0741 (13.5)0.011618
0.0926 (10.8)0.004268
0.1111 (9)0.026285
0.1296 (7.7143)0.004423
0.1481 (6.75)0.008575
0.1667 (6)0.030014
0.1852 (5.4)0.002399
0.2037 (4.9091)0.004721
0.2222 (4.5)0.001638
0.2407 (4.1538)0.000838
0.2593 (3.8571)0.012823
0.2778 (3.6)0.000943
0.2963 (3.375)5.3e-05
0.3148 (3.1765)0.002437
0.3333 (3)0.018727
0.3519 (2.8421)0.052665
0.3704 (2.7)0.014112
0.3889 (2.5714)0.015405
0.4074 (2.4545)0.008777
0.4259 (2.3478)0.014164
0.4444 (2.25)0.000909
0.463 (2.16)0.004953
0.4815 (2.0769)0.00363
0.5 (2)0.006429



Parameters (Session):
par1 = 1 ;
Parameters (R input):
par1 = 0.0 ; 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')