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Data:
76.7 82.7 95 81.8 91.8 88.2 72.2 75.9 91.2 94.2 90.4 73.1 84.3 82.8 92.8 83.5 90.4 91.8 75.5 75.1 89.1 95.4 85.2 68.4 81 78.8 85.7 88.1 82.7 90.1 79.1 71.5 91 99 84.2 68.1 81.3 84.1 88.1 87.8 83 91.5 81 67.1 90.8 94.7 79.3 75.5 80.2 81.1 96.9 88.4 81.6 98.9 78.5 74.5 97.3 93 86.4 80.6 83.7 86.7 95.8 94.8 88.8 103.3 77.8 81.2 102.8 97.2 94.7 85.2 92.7 91.1 103.5 92.7 102 105.9 84 86.4 105 108.6 103.5 85.2 101.8 99.1 112.8 100.7 107.2 113.8 94.4 90.9 105.5 118.2 108.5 83.9 108.6 109.5 106.5 116.5 104.6 112.3 101.2 86.9 112.8 110.4 91.2 80 86.9 85.1 95.6 92.6 87.7 98.7 85.6 77.4 102 101.9 91.9 81.6 91.6 92.9 109.3 103.8 96.8 117.4 93 89 110 106 100.4 90 97.4 101.6 117 97.7 110.8 103.1 86.1 92.9 112.9 102.4 103.3 89.8 96.5 102.2 112 100 103 112.4 94.5 92.6 104 108.4 100.1 79.1 100.9 97.4 101.7 104.9 103.1 108.2 99.9 85.6 106.8 113 99.3 84.2 104.3 99.1 107.3 111.7 99.9 107.5 101.3 86.1 113 114 96.4 85.5 99.5 102.4 117.9 110.2 99.2 121.8 103.1 89 112.5 114 103.7 89.5 102.1 107.3 118.3 112.3 107.9 121 95.8 96.1 114.9 109.8 106.7 89.5 104 106 124.6 106.8 115.4 120.5 95.5 97.8
Box-Cox transformation parameter
48
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
0
1
2
3
4
12
Chart options
R Code
par4 <- '12' par3 <- '1' 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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Big Analytics Cloud Computing Center
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