Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationSat, 26 Mar 2022 18:51:54 +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/2022/Mar/26/t1648317131k5t0l67zmrzgaw1.htm/, Retrieved Wed, 15 May 2024 17:19:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319665, Retrieved Wed, 15 May 2024 17:19:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact60
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [] [2022-03-26 17:51:54] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
-.23603
-.22329
-.98722
N/A
-.20916
-.83691
.18318
2.58954
-1.87259
.70744
.69671
.01125
.55798
.00869
-1.49737
-.35117
1.60136
1.48752
-.05669
-.32867
-.18835
.64867
.25107
.94962
-.95531
-.16096
.02739
.13524
1.36403
-.51630
-.02305
-1.53902
-.03469
.02122
.36619
-1.31139
.95386
.15809
-.22322
1.04166
-.09199
1.40226
-1.57437
-.05808
2.69837
N/A
-.17087
.10170
N/A
.00064
-.38110
-1.22149
-.38152
.19873
-.06150
-1.29019
.47763
.00663
-.67902
-2.25148
.25954
.08283
.15933
2.31689
-.81691
-.06062
-2.12345
-.66951
-.05618
.00482
.03916
-.10577
-.39100
.27471
.22681
-.81607
-.09081
-.45110
.03146
.09176
-.49333
.88786
-.53811
-.84391
-3.02761
.97860
-.16763
.06600
-.04553
.21516
-.47895
-.79054
.34734
-.09800
-.02290
.26774
N/A
1.71063
3.44613
.01636
.01648
-.86211
.46774
-.03588
-.66227
.03937
-.77942
-.62550
-.51126
N/A
-.61671
3.87346
-.20108
-.07349
-.47128
.39382
.08677
1.08059
-1.78518
-.63051
.02103
.03923
1.41604
-1.41336
.85323
1.02270
-.37814
2.95383
-.41748
-.20547
.91408
-.24916
.40275
-.24535
.01330
-2.16009
1.48063
.25471
-.66796
.14765
N/A
-.95118
-.74146
.23782
-.55353
-.06333
1.32884
-.47875
.04108
.13506
1.94159
2.17973
-.39160
.00896
.60958
N/A
-.21449
-.86699
-.07428
-.19663
.42151
1.66945
N/A
-.38021
-1.38885
.34843
N/A
-.02645
-1.26923
-.16500
.20970
.15661
-.02990
.48863
-.08187
2.18861
-1.10653
-.36434
-1.04108
-.88187
-.32838
-.03505
.01552




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319665&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]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319665&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319665&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 time0 seconds
R ServerBig Analytics Cloud Computing Center



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')