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Data:
122302.01 109264.65 103674.75 103890.3 75512.66 83121.3 125096.81 74206.73 88481.63 111598.17 146919.48 150790.85 113780.5 110870.76 118785.32 112820.5 102188.92 97092.73 114067.82 89690.15 89267.9 96198.64 129599.75 169424.7 152510.91 121850.2 144737.64 121381.88 106894.86 94305.06 116800.42 77584.28 100680.88 106634.05 168390.77 211971.89 136163.28 168950.25 89816.88 85406.93 66055.52 73311.68 85674.51 82822.59 94277.63 100991.65 149245.88 208517.17 40733.51 121352.23 104020.11 99566.82 101352.17 106628.41 109696.95 248696.37 105628.33 120449.17 136547.7 140896.42 131509.91 95450.31 133592.64 110332.9 88110.54 64931.25 98446.22 84212.38 77519.55 124806.02 102185.94 151348.79 124378.28 101433.13 126724.22 87461.88 95288.27 129055.33 107753.06 96364.03 71662.75 125666.24 456841.51 167642.32 167154.73 139685.18 119275.2 122746.05 107337.43 112584.89 133183.08 121152.57 119815.6 122858.44 152077.17 157221.96 140435.08 101455.09 104791.29 77226.59 84477.43 66227.74 89076.23 108924.43 83926.11 91764.8 120892.76 129952.42 135865.14 105512.77 96486.62 78064.88 92370.22 98454.46 96703.93 83170.95
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
1
0
1
2
Seasonal Period
1
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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0 seconds
R Server
Big Analytics Cloud Computing Center
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