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Data:
53.1 64.1 75.3 66 73.6 73.2 53.5 60.6 73 72.4 75.8 79.6 77.8 75.7 88.5 72.9 80.8 86.6 63.8 69.2 76.5 77.1 75.3 69.5 64.3 66.7 77.3 75.3 73.4 78 61 58.4 73.4 82.3 72.2 76 64.3 70.8 74 71.4 70.1 77.6 61.2 52.1 74.4 73.1 70.9 80.7 62.9 69.3 82.3 76.2 70.8 87.3 62 66.9 84.4 82.6 77.7 87 76 76.3 88.8 81.2 74.5 98.1 63.3 67.7 85.8 78.6 87.2 106.4 75 80.4 94.8 77 91 96.7 69.2 69.5 93.7 98.5 93.3 100.4 87.4 89 106.1 92.5 96.6 113.3 87.6 89.2 115.6 133.2 111.1 113.1 102 109.3 111.1 116.8 107.5 120.5 95.5 87.9 118.6 116.3 98.8 102.9 80.4 87 97.4 87.2 110.6 101.1 69.1 77.4 95 93.2 96.3 93.9 78.5 90 109.2 94.3 93.1 114.5 78.5 88.3 114.8 112.2 106.9 119.7 97.1 106.3 131.7 106.7 124 117.2 87.8 91.9 125.1 115.4 117.7 124.3 104.8 109.6 139.5 105.3 112.4 128.9 91.6 98.7 117.8 117.4 110.5 103.1 95.8 98.2 117.2 108.5 113.2 120.2 102.8 89.4 119.8 126.9 114.4 117.4 109.4 111.1 121 116.6 119.5 121.2 101 92.7 125.5 123.4 110.3 118.8 97.1 107.6 131 117.9 111 131.4 101.8 93.9 138.5 131.1 124.9 126.6 102.7 121.6 132.8 123 116 135 93.7 98.4 129.8 121.9 124.8 126.9 102 117.7 144.8 113.3 129.3 135.7 94.3 106
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
1
0
1
2
Seasonal Period
12
1
2
3
4
12
Chart options
R Code
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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