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Data:
35 36.1 40.1 35.4 37.4 39.9 32 32.6 44.9 36.3 43.7 39.8 42.6 48.6 49.1 46.9 45.7 56.1 38.3 40.6 46.5 51.4 47 44.6 51 51.1 54.9 52.1 48.7 50.5 47.5 44.6 50.3 54.3 50 44.8 57.6 47.2 59.1 53.9 45.7 54.5 52.8 52.9 66 63.7 54.4 74.4 50.1 62.5 77.2 65.6 58.2 72.6 68.6 63.1 76.9 70.6 71.4 90.6 71.9 60.9 72.9 69.2 64.8 70.2 63 62.2 82.8 77.6 71.2 70.6 71.1 74 87.9 68.3 68.1 75.7 62.7 66.2 81.3 84 80 80.8 67.3 61.9 77.2 65.6 68.7 82 81.4 70.9 71.2 71.9 71.6 76.4 75.6 73.2 80.2 74 69.5 82 82.8 64.5 92.6 82 78.4 103.8 66.6 73.3 92.3 73.6 74.9 83.6 83.3 70.9 82.5 81.7 83.1 92.4 86.9 110.1 112.1 81.5 84.3 113.5 100.3 93.2 100.4 94.4 110.2 113 94.6 111 160.1 110.1 102.8 112.4 105.4 130.4 117.2 103.9 92.2 95.8 93.1 93.9 147.6 89.6 83 99.2 118.3 110.9 124.4 115.8 112.7 111.9 108.6 102.5 141.9 137.7 121.3 142.8 143 121.1 130.2 146.3 143.7 139.3 109.3 141.3 152.7 152.2 151.8 180.5 129 126.1 187.9 170 168.4 157.1 133.9 103.1 166.3 148 131.4 136.3 135.8 151.8 172.2 154.4 158 146.2 128 124.7 160.3 148.1 139.7 194 188.7 172.2 184.8 160.5 139.7 219.8 143.9 166.2 182.7 152.7 146.8 177.1 186 189.2
Box-Cox transformation parameter
additive
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
12
0
1
2
Degree (D) of seasonal differencing
0
1
2
Seasonal Period
1
2
3
4
12
Chart options
R Code
par4 <- '12' par3 <- '0' 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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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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