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Data:
57.7 60.1 66.5 63.4 71.4 68.5 61.6 68.3 69.3 76.1 73.3 69.7 67.4 63.7 73 67.5 74.4 72.9 71.7 75.6 72.5 80 75.4 71 70.6 67.5 74.1 73.2 74 73 74 73 76 81.7 73.5 77 73.6 70.4 74.7 76.8 72.7 76 77.5 73.6 78.5 84.3 74.4 78.5 72.7 71.3 84.4 79.1 76.2 84.9 77.1 78.7 84.7 83.7 82.5 85.2 76 72.2 83.2 80.2 81.1 86 76 83.9 87.9 85 88.1 87.4 79.5 75.2 87.3 79.5 87.6 89.1 83 88.3 88.9 93.9 91.7 87.2 87.8 81 93.7 87.5 91.4 93.8 89.5 93.3 92.8 104.1 99.9 93.4 99 93.2 95.7 102.6 98.8 98 101.5 94.9 104.7 108.4 97 102.3 90.8 89.6 99.9 99.2 94 103 99.8 94.9 102 103.2 98 101.1 88.2 90.3 105.5 99.4 94.3 105.9 98 99 103.9 104.3 105.7 105.5 97.4 95.4 110.5 102.8 110 104.3 96.5 105.6 111.3 108.5 109.1 107.7 102.3 102.4 110.8 101.7 108.9 111.5 104 109.9 106.8 118.4 111.8 105 104.9 96.5 106.3 105.6 109.3 105.1 111.5 103.1 106.5 114.4 104.7 105.5 100.5 96.4 105.1 108.4 105.7 109 107.2 101.6 112.7 115.9 105 110.4 100.9 98.5 111.3 109.6 103.4 115.7 110.4 105.2 113.2 117.4 112.3 113.9 102.2 106.9 118 113.8 114.9 118.8 106.3 114.2 117.3 114.7 117 116.6 106.5 105.7 121 107.8 119.7 121 108.8 115
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
0
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 <- '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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Big Analytics Cloud Computing Center
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