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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationWed, 09 Nov 2022 15:57:37 +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/Nov/09/t16680059612f3ftb8kgxmqz2y.htm/, Retrieved Mon, 05 Oct 2026 20:39:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319769, Retrieved Mon, 05 Oct 2026 20:39:38 +0000
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Original text written by user:aaa
IsPrivate?No (this computation is public)
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Estimated Impact400
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataseries X:
1.244.220
1.243.600
1.248.650
1.258.850
1.254.530
1.251.400
1.256.570
1.261.120
1.260.350
1.265.350
1.270.130
1.267.590
1.266.170
1.266.370
1.272.480
1.273.800
1.277.430
1.281.090
1.281.770
1.281.700
1.276.200
1.264.580
1.265.220
1.270.840
1.271.990
1.280.760
1.286.710
1.283.650
1.277.970
1.289.850
1.293.600
1.292.300
1.285.120
1.282.390
1.281.400
1.278.700
1.281.300
1.278.260
1.274.440
1.265.880
1.275.130
1.270.440
1.276.010
1.273.020
1.264.690
1.266.500
1.257.750
1.250.160
1.250.780
1.254.220
1.251.570
1.249.750
1.251.090
1.250.030
1.256.100
1.262.550
1.261.590
1.265.850
1.274.570
1.275.910
1.271.740
1.268.960
1.268.640
1.267.850
1.274.530
1.266.560
1.270.540
1.267.610
1.273.200
1.272.350
1.272.860
1.272.370
1.269.540
1.270.480
1.275.660
1.275.600
1.276.710
1.273.390
1.280.950
1.275.520
1.266.650
1.272.350
1.264.610
1.267.030
1.271.410
1.280.140
1.288.900
1.279.850
1.275.590
1.273.540
1.282.110
1.276.880
1.268.680
1.263.160
1.260.580
1.258.800
1.258.280
1.255.920
1.252.040
1.248.710
1.251.820
1.249.790
1.248.230
1.249.850
1.252.650
1.248.620
1.248.440
1.256.380
1.258.670
1.257.600
1.264.010
1.263.440
1.256.620
1.260.300
1.261.500
1.260.020
1.260.370
1.248.620
1.258.910
1.272.100
1.273.560
1.280.610
1.281.400
1.280.460
1.285.300
1.287.400
1.283.380
1.273.720
1.282.700
1.291.820
1.300.840
1.303.120
1.299.440
1.302.310
1.290.700
1.285.000
1.280.810
1.288.420
1.281.960
1.281.200
1.278.710
1.282.240
1.282.020
1.277.300
1.272.370
1.265.520
1.263.900
1.266.530
1.256.980
1.258.490
1.258.000
1.253.660
1.255.200
1.270.270
1.279.760
1.289.000
1.294.480
1.287.340
1.295.380
1.300.050
1.298.180
1.293.190
1.296.380
1.298.710
1.289.710
1.286.900
1.287.300
1.288.330
1.287.370
1.288.600
1.285.730
1.303.480
1.303.400
1.296.600
1.294.700
1.299.480
1.303.130
1.300.090
1.310.800
1.300.940
1.298.130
1.287.090
1.288.300
1.287.800
1.292.460
1.285.070
1.287.370
1.281.710
1.280.700
1.281.560
1.284.310
1.288.790
1.285.360
1.287.020
1.294.450
1.285.700
1.288.590
1.277.400
1.276.290
1.277.950
1.290.360
1.284.540
1.291.780
1.294.710
1.300.030
1.304.810
1.295.800
1.297.030
1.293.760
1.306.130
1.300.130
1.308.950
1.314.120
1.314.500
1.314.270
1.312.900
1.315.380
1.312.990
1.308.080
1.302.300
1.297.990
1.316.260
1.316.050
1.324.700
1.325.820
1.324.340
1.336.300
1.347.870
1.347.110
1.358.080
1.371.060
1.372.250
1.362.790
1.367.450
1.378.730
1.362.810
1.350.540
1.359.780
1.374.100
1.373.210
1.377.500
1.379.150
1.381.570
1.376.010
1.385.500
1.371.290
1.372.620
1.377.280
1.377.730
1.364.620
1.369.520
1.361.670
1.355.200
1.356.450
1.360.810
1.361.070
1.361.800
1.371.520
1.374.240
1.351.250
1.349.350
1.345.780




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=319769&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=319769&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319769&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):
par4 <- '1'
par3 <- '0'
par2 <- '0'
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')