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Data:
112.7 122 134.7 109.8 130.8 118.7 104.4 87.8 134.2 143.9 140.4 111 126.3 124.4 136.1 118.4 127.4 127.9 115 90.2 131 143.3 131.5 98.5 124.9 122.4 128.8 125.9 120.2 120 116 89.2 135.9 148.7 128.1 100.9 125.5 119.8 120.7 125 109 114.2 105.6 80.1 131.1 136.6 119.7 102.4 114.5 112.9 131.8 118.7 107.1 127 104.6 85.9 134 127.6 121.5 104.5 107.3 111.9 120.7 116.9 106.1 122.3 97.8 82.7 128.2 119 127.4 106 108.7 113.5 131.4 111.3 119 130.7 104.5 88.9 135.4 140.6 138.8 107.4 120.8 124.1 139.2 119.9 121 133.7 115.2 96.7 131 147.6 132.9 97.4 123.6 124.9 118.6 127.6 110.2 115.4 106.6 75.5 116.7 118 98.7 81.5 87 86.8 96.8 92.7 82.1 94.1 89.7 67.5 102 103.2 95.6 83 87.2 94 107.7 103.3 94.8 112.7 96.8 75.9 116.7 111.4 108.6 90.9 92.6 95.7 116.7 95.4 105.1 99.7 89.8 74 108 102.1 100.2 83.2 87.9 93.3 98.5 84.5 89.3 94.2 83.5 67.5 89.4 102.4 92 65.9 85.3 87 91.8 88.5 89.1 89.8 88.9 64 93.2 100.1 89.3 68.1 94.3 93.3 98.1 96.8 87.8 95.6 95.7 64.4 108.1 109.6 90.9 75.6 93.5 98.1 104.5 102.7 89.6 108.8 95.4 70.1 104.6 105.5 96.8 79.4 92.3 96.8 103 99.5 91 103.4 82 70.1 98.1 95.7 98 77.3 89.8 91.6 106.5 87.5 99.5 104.4 84.5 68.3
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 <- '1' par3 <- '2' 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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Big Analytics Cloud Computing Center
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