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Data:
58.5 59.8 64.6 62.2 68 64.3 58.9 64.8 67.5 76.2 73.7 70.4 67.7 63.7 72.4 66 70.1 70.4 66.6 72.6 74 79 76.1 72.3 71.6 67.2 73.8 70.8 71.4 70.4 70.7 70.6 75.5 82.1 74.3 76.3 74.5 71.1 73.3 73.8 69 71.1 71.9 69 77.3 82.8 74 77.6 72.3 70.7 81 76.4 72.3 79.5 73.3 74.5 82.7 83.8 81.6 85.5 76.7 71.8 80.2 76.8 76.1 80.7 71.3 80.9 85 84.5 87.7 87.7 80.2 74.4 85.8 77 84.5 83.6 77.7 85.7 87.9 93.7 92.3 87 89.1 81.3 92.7 83.9 87.3 89.1 86.9 91.7 93 105.3 101.6 94.2 100.5 95.8 95.8 102.1 96 96.8 98.9 93.4 105.5 110.9 98.6 102.6 93.5 90.8 99.7 97.8 91.1 98.1 96 93.5 101.2 105.2 98.9 101.3 92.1 90.6 105.4 98.4 92.7 101.2 93.4 98.3 104.3 107 107.7 108.9 99.6 96.1 109 99.5 104.6 99.9 94.1 105.3 110.4 110.5 110 108.5 104.3 101.2 109.2 99.6 105.6 106.2 102.2 107.5 105.8 120.5 113.2 104.3 107.7 99.2 105.1 104.3 106.1 100.8 106.7 101.6 104.4 114.8 105.4 104 102 96.5 102.3 105.3 101.9 102.2 102.8 100.4 110.7 116.4 106 109.2 103 99.8 109.8 107.3 101.2 111.8 106.9 103.5 113.1 119.4 113.3 115 104.7 107.2 116.6 111.3 111.4 115 102.4 111.4 113.2 112.9 114.2 115.6 107.1 102.3 117.9 105.8 114.3 113.1 102.9 112.2
Box-Cox transformation parameter
1Full Box-Cox transformDefault1Default112DefaultDefault11111111111111111
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
1-211111111111111110101111
0
1
2
Degree (D) of seasonal differencing
1211111011001101101000010
0
1
2
Seasonal Period
1011201201001100100112121212121212
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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1 seconds
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Big Analytics Cloud Computing Center
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