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Data:
63.2 68.6 77.7 68.1 75.1 73.3 60.5 65.9 77.7 77.1 77.7 71.3 76 75.3 81.7 72.5 77.4 81.1 65.1 68.7 75.6 79.7 75.3 67.7 73.2 72.2 79.3 77.5 75.6 77.4 69.2 67.1 77.9 82.7 75.7 70.1 76.4 74.3 80.5 78 73.5 78.8 71.2 66.2 82.7 83.8 75 80.4 74.6 77.7 89.8 82.4 77 89.6 75.7 75.1 89.9 88.8 86.5 90 84 82.7 91.7 87.5 82 92.2 73.1 75.6 91.6 87.5 90.1 91.3 87.6 88.4 100.7 85.3 92 96.8 77.9 80.9 95.3 99.3 96.1 92.5 93.7 92.1 103.6 92.5 95.7 103.4 89 89.1 98.7 109.4 101.1 95.4 101.4 102.1 103.6 106 98.4 106.6 95.8 87.2 108.5 107 92 94.9 84.4 85 94 84.5 88.2 92.1 81.1 81.2 96.1 95.3 92.1 91.7 90.3 96.1 108.7 95.9 95.1 109.4 91.2 91.4 107.4 105.6 105.3 103.7 99.5 103.2 123.1 102.2 110 106.2 91.3 99.3 111.8 104.4 102.4 101 100.6 104.5 117.4 97.4 99.5 106.4 95.2 94 104.1 105.8 101.1 93.5 97.9 96.8 108.4 103.5 101.3 107.4 100.7 91.1 105 112.8 105.6 101 101.9 103.5 109.5 105 102.9 108.5 96.9 88.4 112.4 111.3 101.6 101.2 101.8 98.8 114.4 104.5 97.6 109.1 94.5 90.4 111.8 110.5 106.8 101.8 103.7 107.4 117.5 109.6 102.8 115.5 97.8 100.2 112.9 108.7 109 113.9 106.9 109.6 124.5 104.2 110.8 118.7 102.1 105.1
Box-Cox transformation parameter
1
1
-2.0
-1.9
-1.8
-1.7
-1.6
-1.5
-1.4
-1.3
-1.2
-1.1
-1.0
-0.9
-0.8
-0.7
-0.6
-0.5
-0.4
-0.3
-0.2
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2.0
Degree (d) of non-seasonal differencing
1
0
1
2
Degree (D) of seasonal differencing
0
0
1
2
Seasonal Period
12
1
2
3
4
12
Chart options
R Code
par4 <- '12' 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')
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Computing time
1 seconds
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Big Analytics Cloud Computing Center
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