FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationSun, 18 Dec 2016 19:43:40 +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/18/t14820866346s555uaf32rw9j6.htm/, Retrieved Fri, 01 Nov 2024 03:35:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301210, Retrieved Fri, 01 Nov 2024 03:35:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Spectral Analysis] [] [2016-12-16 13:29:44] [683f400e1b95307fc738e729f07c4fce]
- R P     [Spectral Analysis] [] [2016-12-18 18:43:40] [404ac5ee4f7301873f6a96ef36861981] [Current]
-   P       [Spectral Analysis] [] [2016-12-18 18:46:12] [683f400e1b95307fc738e729f07c4fce]
- R P       [Spectral Analysis] [] [2016-12-18 18:47:39] [683f400e1b95307fc738e729f07c4fce]
- R         [Spectral Analysis] [] [2016-12-18 18:53:44] [683f400e1b95307fc738e729f07c4fce]
- R P       [Spectral Analysis] [] [2016-12-18 20:46:06] [683f400e1b95307fc738e729f07c4fce]
- R P       [Spectral Analysis] [1] [2016-12-18 20:52:40] [683f400e1b95307fc738e729f07c4fce]
- RMP       [(Partial) Autocorrelation Function] [] [2016-12-18 20:59:54] [683f400e1b95307fc738e729f07c4fce]
- RMP       [(Partial) Autocorrelation Function] [] [2016-12-18 21:04:12] [683f400e1b95307fc738e729f07c4fce]
- RMP       [(Partial) Autocorrelation Function] [] [2016-12-18 21:04:57] [683f400e1b95307fc738e729f07c4fce]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6086
6090.5
6103.5
6144
6190.5
6225
6272
6294
6366
6426
6477
6500
6538
6581
6615.5
6639.5
6651
6665
6684
6684.5
6666.5
6666.5
6651
6652
6647
6618.5
6604.5
6572
6556
6535
6515.5
6515
6489
6491
6483.5
6486.5
6486.5
6478.5
6461
6458.5
6446
6420
6397.5
6408
6408.5
6401.5
6408.5
6417.5
6406.5
6426.5
6431.5
6441.5
6446
6450
6468
6488.5
6512
6525
6551
6567.5
6560.5
6572
6574.5
6583.5
6589.5
6600
6601
6586
6590
6616
6641.5
6647
6662
6663.5
6663
6653.5
6642.5
6624.5
6605.5
6604.5
6575
6566
6562.5
6560.5
6502
6552.5
6542.5
6536
6516.5
6506.5
6491.5
6469.5
6445
6426
6355.5
6340
6307.5
6254.5
6230.5
6213
6212.5
6203
6204
6220.5
6205
6199.5
6184.5
6169
6140.5
6144.5
6145.5
6148.5
6145
6133
6138
6104.5
6090.5

Tables (Output of Computation)





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=301210&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=301210&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301210&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 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)1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)1
Seasonal Period (s)3
Frequency (Period)Spectrum
0.0083 (120)91.586509
0.0167 (60)1118.540033
0.025 (40)117.265571
0.0333 (30)92.499355
0.0417 (24)567.312543
0.05 (20)244.857673
0.0583 (17.1429)1084.884866
0.0667 (15)936.330715
0.075 (13.3333)1054.4724
0.0833 (12)133.86537
0.0917 (10.9091)763.705203
0.1 (10)157.594483
0.1083 (9.2308)386.966556
0.1167 (8.5714)84.51841
0.125 (8)598.378253
0.1333 (7.5)166.418013
0.1417 (7.0588)541.970093
0.15 (6.6667)690.316741
0.1583 (6.3158)11.565839
0.1667 (6)216.082495
0.175 (5.7143)309.513226
0.1833 (5.4545)146.773553
0.1917 (5.2174)1109.692191
0.2 (5)621.798924
0.2083 (4.8)362.626892
0.2167 (4.6154)464.675826
0.225 (4.4444)43.565794
0.2333 (4.2857)1089.435345
0.2417 (4.1379)7.332729
0.25 (4)252.670817
0.2583 (3.871)174.855874
0.2667 (3.75)449.084175
0.275 (3.6364)21.050872
0.2833 (3.5294)262.917092
0.2917 (3.4286)298.83644
0.3 (3.3333)287.117264
0.3083 (3.2432)82.754117
0.3167 (3.1579)1.25827
0.325 (3.0769)6.105411
0.3333 (3)2.584855
0.3417 (2.9268)1.629835
0.35 (2.8571)0.280887
0.3583 (2.7907)11.967915
0.3667 (2.7273)39.62088
0.375 (2.6667)228.401088
0.3833 (2.6087)173.096341
0.3917 (2.5532)630.496073
0.4 (2.5)378.355499
0.4083 (2.449)507.907056
0.4167 (2.4)447.694726
0.425 (2.3529)54.451235
0.4333 (2.3077)670.143866
0.4417 (2.2642)574.75164
0.45 (2.2222)391.602599
0.4583 (2.1818)1016.066093
0.4667 (2.1429)820.102256
0.475 (2.1053)636
0.4833 (2.069)1645.726171
0.4917 (2.0339)1058.551591
0.5 (2)2913.593851

\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) & 3 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0083 (120) & 91.586509 \tabularnewline
0.0167 (60) & 1118.540033 \tabularnewline
0.025 (40) & 117.265571 \tabularnewline
0.0333 (30) & 92.499355 \tabularnewline
0.0417 (24) & 567.312543 \tabularnewline
0.05 (20) & 244.857673 \tabularnewline
0.0583 (17.1429) & 1084.884866 \tabularnewline
0.0667 (15) & 936.330715 \tabularnewline
0.075 (13.3333) & 1054.4724 \tabularnewline
0.0833 (12) & 133.86537 \tabularnewline
0.0917 (10.9091) & 763.705203 \tabularnewline
0.1 (10) & 157.594483 \tabularnewline
0.1083 (9.2308) & 386.966556 \tabularnewline
0.1167 (8.5714) & 84.51841 \tabularnewline
0.125 (8) & 598.378253 \tabularnewline
0.1333 (7.5) & 166.418013 \tabularnewline
0.1417 (7.0588) & 541.970093 \tabularnewline
0.15 (6.6667) & 690.316741 \tabularnewline
0.1583 (6.3158) & 11.565839 \tabularnewline
0.1667 (6) & 216.082495 \tabularnewline
0.175 (5.7143) & 309.513226 \tabularnewline
0.1833 (5.4545) & 146.773553 \tabularnewline
0.1917 (5.2174) & 1109.692191 \tabularnewline
0.2 (5) & 621.798924 \tabularnewline
0.2083 (4.8) & 362.626892 \tabularnewline
0.2167 (4.6154) & 464.675826 \tabularnewline
0.225 (4.4444) & 43.565794 \tabularnewline
0.2333 (4.2857) & 1089.435345 \tabularnewline
0.2417 (4.1379) & 7.332729 \tabularnewline
0.25 (4) & 252.670817 \tabularnewline
0.2583 (3.871) & 174.855874 \tabularnewline
0.2667 (3.75) & 449.084175 \tabularnewline
0.275 (3.6364) & 21.050872 \tabularnewline
0.2833 (3.5294) & 262.917092 \tabularnewline
0.2917 (3.4286) & 298.83644 \tabularnewline
0.3 (3.3333) & 287.117264 \tabularnewline
0.3083 (3.2432) & 82.754117 \tabularnewline
0.3167 (3.1579) & 1.25827 \tabularnewline
0.325 (3.0769) & 6.105411 \tabularnewline
0.3333 (3) & 2.584855 \tabularnewline
0.3417 (2.9268) & 1.629835 \tabularnewline
0.35 (2.8571) & 0.280887 \tabularnewline
0.3583 (2.7907) & 11.967915 \tabularnewline
0.3667 (2.7273) & 39.62088 \tabularnewline
0.375 (2.6667) & 228.401088 \tabularnewline
0.3833 (2.6087) & 173.096341 \tabularnewline
0.3917 (2.5532) & 630.496073 \tabularnewline
0.4 (2.5) & 378.355499 \tabularnewline
0.4083 (2.449) & 507.907056 \tabularnewline
0.4167 (2.4) & 447.694726 \tabularnewline
0.425 (2.3529) & 54.451235 \tabularnewline
0.4333 (2.3077) & 670.143866 \tabularnewline
0.4417 (2.2642) & 574.75164 \tabularnewline
0.45 (2.2222) & 391.602599 \tabularnewline
0.4583 (2.1818) & 1016.066093 \tabularnewline
0.4667 (2.1429) & 820.102256 \tabularnewline
0.475 (2.1053) & 636 \tabularnewline
0.4833 (2.069) & 1645.726171 \tabularnewline
0.4917 (2.0339) & 1058.551591 \tabularnewline
0.5 (2) & 2913.593851 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301210&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]3[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0083 (120)[/C][C]91.586509[/C][/ROW]
[ROW][C]0.0167 (60)[/C][C]1118.540033[/C][/ROW]
[ROW][C]0.025 (40)[/C][C]117.265571[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]92.499355[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]567.312543[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]244.857673[/C][/ROW]
[ROW][C]0.0583 (17.1429)[/C][C]1084.884866[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]936.330715[/C][/ROW]
[ROW][C]0.075 (13.3333)[/C][C]1054.4724[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]133.86537[/C][/ROW]
[ROW][C]0.0917 (10.9091)[/C][C]763.705203[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]157.594483[/C][/ROW]
[ROW][C]0.1083 (9.2308)[/C][C]386.966556[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]84.51841[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]598.378253[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]166.418013[/C][/ROW]
[ROW][C]0.1417 (7.0588)[/C][C]541.970093[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]690.316741[/C][/ROW]
[ROW][C]0.1583 (6.3158)[/C][C]11.565839[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]216.082495[/C][/ROW]
[ROW][C]0.175 (5.7143)[/C][C]309.513226[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]146.773553[/C][/ROW]
[ROW][C]0.1917 (5.2174)[/C][C]1109.692191[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]621.798924[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]362.626892[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]464.675826[/C][/ROW]
[ROW][C]0.225 (4.4444)[/C][C]43.565794[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]1089.435345[/C][/ROW]
[ROW][C]0.2417 (4.1379)[/C][C]7.332729[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]252.670817[/C][/ROW]
[ROW][C]0.2583 (3.871)[/C][C]174.855874[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]449.084175[/C][/ROW]
[ROW][C]0.275 (3.6364)[/C][C]21.050872[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]262.917092[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]298.83644[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]287.117264[/C][/ROW]
[ROW][C]0.3083 (3.2432)[/C][C]82.754117[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]1.25827[/C][/ROW]
[ROW][C]0.325 (3.0769)[/C][C]6.105411[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]2.584855[/C][/ROW]
[ROW][C]0.3417 (2.9268)[/C][C]1.629835[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]0.280887[/C][/ROW]
[ROW][C]0.3583 (2.7907)[/C][C]11.967915[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]39.62088[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]228.401088[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]173.096341[/C][/ROW]
[ROW][C]0.3917 (2.5532)[/C][C]630.496073[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]378.355499[/C][/ROW]
[ROW][C]0.4083 (2.449)[/C][C]507.907056[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]447.694726[/C][/ROW]
[ROW][C]0.425 (2.3529)[/C][C]54.451235[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]670.143866[/C][/ROW]
[ROW][C]0.4417 (2.2642)[/C][C]574.75164[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]391.602599[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]1016.066093[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]820.102256[/C][/ROW]
[ROW][C]0.475 (2.1053)[/C][C]636[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]1645.726171[/C][/ROW]
[ROW][C]0.4917 (2.0339)[/C][C]1058.551591[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]2913.593851[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301210&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301210&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)3
Frequency (Period)Spectrum
0.0083 (120)91.586509
0.0167 (60)1118.540033
0.025 (40)117.265571
0.0333 (30)92.499355
0.0417 (24)567.312543
0.05 (20)244.857673
0.0583 (17.1429)1084.884866
0.0667 (15)936.330715
0.075 (13.3333)1054.4724
0.0833 (12)133.86537
0.0917 (10.9091)763.705203
0.1 (10)157.594483
0.1083 (9.2308)386.966556
0.1167 (8.5714)84.51841
0.125 (8)598.378253
0.1333 (7.5)166.418013
0.1417 (7.0588)541.970093
0.15 (6.6667)690.316741
0.1583 (6.3158)11.565839
0.1667 (6)216.082495
0.175 (5.7143)309.513226
0.1833 (5.4545)146.773553
0.1917 (5.2174)1109.692191
0.2 (5)621.798924
0.2083 (4.8)362.626892
0.2167 (4.6154)464.675826
0.225 (4.4444)43.565794
0.2333 (4.2857)1089.435345
0.2417 (4.1379)7.332729
0.25 (4)252.670817
0.2583 (3.871)174.855874
0.2667 (3.75)449.084175
0.275 (3.6364)21.050872
0.2833 (3.5294)262.917092
0.2917 (3.4286)298.83644
0.3 (3.3333)287.117264
0.3083 (3.2432)82.754117
0.3167 (3.1579)1.25827
0.325 (3.0769)6.105411
0.3333 (3)2.584855
0.3417 (2.9268)1.629835
0.35 (2.8571)0.280887
0.3583 (2.7907)11.967915
0.3667 (2.7273)39.62088
0.375 (2.6667)228.401088
0.3833 (2.6087)173.096341
0.3917 (2.5532)630.496073
0.4 (2.5)378.355499
0.4083 (2.449)507.907056
0.4167 (2.4)447.694726
0.425 (2.3529)54.451235
0.4333 (2.3077)670.143866
0.4417 (2.2642)574.75164
0.45 (2.2222)391.602599
0.4583 (2.1818)1016.066093
0.4667 (2.1429)820.102256
0.475 (2.1053)636
0.4833 (2.069)1645.726171
0.4917 (2.0339)1058.551591
0.5 (2)2913.593851


Figures (Output of Computation)

Input Parameters & R Code

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