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Data:
58.4 64.8 73.8 65 73 71.1 58.2 64 75 74.9 75 68.3 72.5 72.4 79.6 70.7 76.4 79.7 64.2 67.9 74.1 78.5 73.4 65.4 69.9 69.6 76.8 75.6 74 76 68.1 65.5 76.9 81.7 73.6 68.7 73.3 71.5 78.3 76.5 71.8 77.6 70 64 81.3 82.5 73.1 78.1 70.7 74.9 88 81.3 75.7 89.8 74.6 74.9 90 88.1 84.9 87.7 80.5 79 89.9 86.3 81.1 92.4 71.8 76.1 92.5 87 89.5 88.7 83.8 84.9 99 84.6 92.7 97.6 78 81.9 96.5 99.9 96.2 90.5 91.4 89.7 102.7 91.5 96.2 104.5 90.3 90.3 100.4 111.3 101.3 94.4 100.4 102 104.3 108.8 101.3 108.9 98.5 88.8 111.8 109.6 92.5 94.5 80.8 83.7 94.2 86.2 89 94.7 81.9 80.2 96.5 95.6 91.9 89.9 86.3 94 108 96.3 94.6 111.7 92 91.9 109.2 106.8 105.8 103.6 97.6 102.8 124.8 103.9 112.2 108.5 92.4 101.1 114.9 106.4 104 101.6 99.4 102.3 121.3 99.3 102.9 111.4 98.5 98.5 108.5 112.1 105.3 95.2 98.2 96.6 109.6 108 106.7 111.5 104.5 94.3 109.6 116.4 106.5 100.5 101.7 104.1 112.3 111.2 108.2 115.1 102.3 93.6 120.6 118.4 106.6 105.3 101.5 100.1 119.5 111.2 103.7 117.8 101.7 97.4 120 117 110.6 105.3 100.9 108.1 119.3 113 108.6 123.3 101.4 103.5 119.4 113.1 112 115.8 105.4 110.9 128.5 109 117.2 124.4 104.7 108.6
Box-Cox transformation parameter
8
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
No Linear Trend
0
1
2
Seasonal Period
0
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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Raw Output
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0 seconds
R Server
Big Analytics Cloud Computing Center
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