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Data:
55.5 63 77.2 71.1 90.1 91.5 76.1 87.8 81 77.2 73.8 68.9 68.4 65.2 78.7 77 97.6 88.1 98.7 93.4 68 87.9 75.8 66.3 68.4 71.3 77.4 87.1 88.5 85.9 92.7 88.5 80.2 81.8 70.4 82.2 72.8 69 83 92.4 92.3 100.5 106.9 99.5 85.9 92.6 77.4 84.1 75.3 73.8 100.1 90.7 96.5 111.8 97.4 100.8 93.7 82 86 84.3 73.1 75.4 97.9 97.5 106 112.8 99.5 100.8 102.9 88.8 91.3 88.3 77.4 80.5 96.7 93.8 105 117.1 111.1 105.8 95.7 97.1 91 90.9 83.5 82.3 101.7 108.3 114 118.2 103.4 106.8 95.4 101.8 95.6 94.8 94 82.4 95.8 106.7 114.1 103.9 117.4 105.9 101.7 98.7 91.3 102.3 80.5 86.7 102.6 107.3 108 124.3 117.1 103.9 104.7 95.9 94.2 102.7 70.3 90.2 107.3 104.6 102.7 124.5 117.8 104.2 99.9 91.5 95.7 91.4 86.2 91.5 115.5 113.9 131.9 121.2 105.2 107.5 113.8 100.5 104.8 103.8 93.1 106.2 117.5 109.9 123.6 131.7 111 122 110.9 108 103.6 107.3 94.4 85.2 113.2 111.7 124.3 124 133.4 112.6 115.8 112.3 103.6 111.4 95.1 93.4 117.3 121.5 123.1 139.3 125.8 108.6 121 111.6 99.7 116.7 90.3 90.4 117.3 121.6 114.6 133.3 127.4 115 112.6 108.3 107.6 109 89 102.5 124.5 124.2 130.8 138.7 127.6 130.9 136.9 125.2 131.3 124.1 103.2 118.1 136.5 117.8 145.1 158.8 136.9 132.7
Box-Cox transformation parameter
2
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
Do not include Seasonal Dummies
0
1
2
Degree (D) of seasonal differencing
First and Seasonal Differences (s)
0
1
2
Seasonal Period
2
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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