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Data:
62 67.1 75.9 67 74.2 72.2 60.2 65.8 76.2 76.6 76.8 70.6 74.5 73.5 80.2 71.5 76.6 79.6 65.5 69.2 74.8 79.4 75 67.7 72.5 71.2 78.3 76.6 74.9 76.5 69.4 67.4 77.2 82.2 75.1 70.6 75.6 73.5 79.4 77.5 72.9 78 71.5 66.6 81.8 83.5 74.6 79.8 73.9 76.6 88.9 81.7 76.5 88.8 75.5 75.2 89 87.9 85.7 89.2 82.7 81 90.3 86.3 81.5 91.1 73.1 76.4 91 86.9 89.6 90.5 86.3 86.5 98.8 84.3 91.2 95.5 78.1 81.5 94.4 98.5 95.3 91.6 92.8 90.5 102.2 91.5 94.9 102.1 88.8 89.4 97.8 108.8 100.8 95 101 101 102.5 105.6 98.3 105.5 96.4 88 108.1 107.2 92.5 95.7 84.8 85.4 94.6 86 88.6 93.3 83.1 82.6 96.7 96.2 92.6 92.7 89.9 95.4 108.4 96.2 95 109 91.9 92.2 107.1 105.6 105.4 103.9 99.2 102.4 121.8 102.3 110.1 106 91.9 100.1 112 105 103.3 101.8 100.9 104.2 116.8 97.8 100.7 107.2 96.3 95.9 104.6 107.5 102.5 94.9 98.7 96.8 108.3 103.9 102.4 107.3 101.9 92.5 105.4 113.2 105.7 101.7 101.8 102.9 109.2 105.6 103.4 108.8 98.1 90 112.8 112.2 102.2 102.5 101.8 98.8 114.3 105.2 98.3 110.1 96.4 92.1 112.2 111.6 107.6 103.4 103.6 107.7 117.9 110.4 104.4 116.2 98.9 102.1 113.7 109.5 110.3 114.5 107 109.4 124.6 104.8 112 119.2 103 106.5
Box-Cox transformation parameter
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
0
1
2
Degree (D) of seasonal differencing
0
1
2
Seasonal Period
1
2
3
4
12
Chart options
R Code
par4 <- '12' 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')
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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