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Description of Statistical Computation

Author's title

Spectral analysis Totaal # niet-werkende werkzoekende vrouwen in het Vlaams...

Author*The author of this computation has been verified*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationMon, 15 Dec 2008 11:29:13 -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/15/t1229365844vddykadyzz0sk0l.htm/, Retrieved Wed, 15 May 2024 02:55:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33773, Retrieved Wed, 15 May 2024 02:55:51 +0000
QR Codes:

Original text written by user:Lambda: 1 d: 1 D: 1 Seasonal period: 12
IsPrivate?No (this computation is public)
User-defined keywordsSpectral analysis Totaal niet-werkende werkzoekende vrouwen Vlaams gewest
Estimated Impact146

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [Spectral analysis...] [2008-12-15 18:29:13] [f4b2017b314c03698059f43b95818e67] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
121148
114624
109822
112081
113534
112110
109826
107423
105540
108573
128591
139145
129700
132828
126868
128390
126830
124105
122323
119296
116822
119224
139357
144322
133676
128283
121640
122877
117284
116463
112685
113235
111692
113152
129889
131153
123770
112516
105940
104320
103582
99064
94989
92241
89752
90610
109456
110213
97694
91844
87572
89812
89050
85990
85070
83277
79586
84215
99708
100698
90861
86700

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33773&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33773&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33773&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.02 (50)8386920.044908
0.04 (25)2289316.363312
0.06 (16.6667)12576315.820756
0.08 (12.5)4992139.139656
0.1 (10)15435834.513197
0.12 (8.3333)3247195.181136
0.14 (7.1429)77826.959329
0.16 (6.25)2530407.299294
0.18 (5.5556)1548842.422941
0.2 (5)8210100.441412
0.22 (4.5455)18169541.714889
0.24 (4.1667)1378142.812378
0.26 (3.8462)1542721.84059
0.28 (3.5714)12197607.531358
0.3 (3.3333)6473567.089368
0.32 (3.125)1772435.035476
0.34 (2.9412)1118372.254333
0.36 (2.7778)13625224.9357
0.38 (2.6316)1974133.406971
0.4 (2.5)12406788.609292
0.42 (2.381)9275965.586388
0.44 (2.2727)31504638.450028
0.46 (2.1739)22318302.271159
0.48 (2.0833)16179463.776551
0.5 (2)2135872.781641

\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) & 1 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.02 (50) & 8386920.044908 \tabularnewline
0.04 (25) & 2289316.363312 \tabularnewline
0.06 (16.6667) & 12576315.820756 \tabularnewline
0.08 (12.5) & 4992139.139656 \tabularnewline
0.1 (10) & 15435834.513197 \tabularnewline
0.12 (8.3333) & 3247195.181136 \tabularnewline
0.14 (7.1429) & 77826.959329 \tabularnewline
0.16 (6.25) & 2530407.299294 \tabularnewline
0.18 (5.5556) & 1548842.422941 \tabularnewline
0.2 (5) & 8210100.441412 \tabularnewline
0.22 (4.5455) & 18169541.714889 \tabularnewline
0.24 (4.1667) & 1378142.812378 \tabularnewline
0.26 (3.8462) & 1542721.84059 \tabularnewline
0.28 (3.5714) & 12197607.531358 \tabularnewline
0.3 (3.3333) & 6473567.089368 \tabularnewline
0.32 (3.125) & 1772435.035476 \tabularnewline
0.34 (2.9412) & 1118372.254333 \tabularnewline
0.36 (2.7778) & 13625224.9357 \tabularnewline
0.38 (2.6316) & 1974133.406971 \tabularnewline
0.4 (2.5) & 12406788.609292 \tabularnewline
0.42 (2.381) & 9275965.586388 \tabularnewline
0.44 (2.2727) & 31504638.450028 \tabularnewline
0.46 (2.1739) & 22318302.271159 \tabularnewline
0.48 (2.0833) & 16179463.776551 \tabularnewline
0.5 (2) & 2135872.781641 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33773&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]1[/C][/ROW]
[ROW][C]Seasonal Period (s)[/C][C]12[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.02 (50)[/C][C]8386920.044908[/C][/ROW]
[ROW][C]0.04 (25)[/C][C]2289316.363312[/C][/ROW]
[ROW][C]0.06 (16.6667)[/C][C]12576315.820756[/C][/ROW]
[ROW][C]0.08 (12.5)[/C][C]4992139.139656[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]15435834.513197[/C][/ROW]
[ROW][C]0.12 (8.3333)[/C][C]3247195.181136[/C][/ROW]
[ROW][C]0.14 (7.1429)[/C][C]77826.959329[/C][/ROW]
[ROW][C]0.16 (6.25)[/C][C]2530407.299294[/C][/ROW]
[ROW][C]0.18 (5.5556)[/C][C]1548842.422941[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]8210100.441412[/C][/ROW]
[ROW][C]0.22 (4.5455)[/C][C]18169541.714889[/C][/ROW]
[ROW][C]0.24 (4.1667)[/C][C]1378142.812378[/C][/ROW]
[ROW][C]0.26 (3.8462)[/C][C]1542721.84059[/C][/ROW]
[ROW][C]0.28 (3.5714)[/C][C]12197607.531358[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]6473567.089368[/C][/ROW]
[ROW][C]0.32 (3.125)[/C][C]1772435.035476[/C][/ROW]
[ROW][C]0.34 (2.9412)[/C][C]1118372.254333[/C][/ROW]
[ROW][C]0.36 (2.7778)[/C][C]13625224.9357[/C][/ROW]
[ROW][C]0.38 (2.6316)[/C][C]1974133.406971[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]12406788.609292[/C][/ROW]
[ROW][C]0.42 (2.381)[/C][C]9275965.586388[/C][/ROW]
[ROW][C]0.44 (2.2727)[/C][C]31504638.450028[/C][/ROW]
[ROW][C]0.46 (2.1739)[/C][C]22318302.271159[/C][/ROW]
[ROW][C]0.48 (2.0833)[/C][C]16179463.776551[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]2135872.781641[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33773&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33773&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)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.02 (50)8386920.044908
0.04 (25)2289316.363312
0.06 (16.6667)12576315.820756
0.08 (12.5)4992139.139656
0.1 (10)15435834.513197
0.12 (8.3333)3247195.181136
0.14 (7.1429)77826.959329
0.16 (6.25)2530407.299294
0.18 (5.5556)1548842.422941
0.2 (5)8210100.441412
0.22 (4.5455)18169541.714889
0.24 (4.1667)1378142.812378
0.26 (3.8462)1542721.84059
0.28 (3.5714)12197607.531358
0.3 (3.3333)6473567.089368
0.32 (3.125)1772435.035476
0.34 (2.9412)1118372.254333
0.36 (2.7778)13625224.9357
0.38 (2.6316)1974133.406971
0.4 (2.5)12406788.609292
0.42 (2.381)9275965.586388
0.44 (2.2727)31504638.450028
0.46 (2.1739)22318302.271159
0.48 (2.0833)16179463.776551
0.5 (2)2135872.781641


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 1 ; par3 = 1 ; par4 = 12 ;
Parameters (R input):
par1 = 1 ; par2 = 1 ; par3 = 1 ; 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')