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Data:
241.066666666664 300.166666666668 312.166666666668 485.066666666666 790.237037037037 186.125925925927 141.792592592594 -413.54074074074 383.014814814814 -96.9851851851853 111.57037037037 43.9037037037033 112.451851851852 164.551851851852 -18.4481481481483 -14.5481481481481 -236.377777777778 -153.488888888889 -228.822222222222 -300.155555555555 -197.6 144.4 125.955555555555 -49.7111111111115 -306.162962962963 294.937037037037 56.9370370370369 -169.162962962963 40.0074074074074 75.8962962962962 -518.437037037037 250.22962962963 -260.214814814815 109.785185185185 72.3407407407407 28.6740740740737 334.222222222222 -43.6777777777776 -96.677777777778 -88.7777777777777 -667.607407407408 -548.718518518519 -415.051851851852 -526.385185185185 -444.82962962963 68.1703703703704 -80.274074074074 302.059259259259 105.607407407408 -21.2925925925924 -52.2925925925928 -244.392592592593 -356.222222222222 -106.333333333333 341.333333333333 839 1116.55555555556 1176.55555555556 218.111111111111 -378.555555555556 -701.007407407407 -549.907407407407 -406.907407407408 -385.007407407407 -547.837037037037 -446.948148148148 -441.281481481482 -547.614814814815 91.9407407407407 -388.059259259259 -259.503703703703 203.829629629629 132.377777777778 -189.522222222222 149.477777777778 313.377777777778 224.548148148148 92.4370370370371 61.1037037037035 -50.2296296296295 -62.6740740740741 -177.674074074074 74.8814814814816 5.21481481481463 -61.2370370370368 31.8629629629632 61.8629629629628 -232.237037037037 -64.0666666666666 -232.177777777778 -308.511111111111 -91.8444444444442 -233.288888888889 -210.288888888889 189.266666666667 -18.4000000000003 133.148148148148 172.248148148148 107.248148148148 352.148148148148 817.318518518518 1133.20740740741 1367.87407407407 840.540740740741 -392.903703703704 -625.903703703704 -452.348148148148 -137.014814814815 9.5333333333337 -159.366666666666 -113.366666666667 -16.4666666666664
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
0
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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Computing time
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R Server
Big Analytics Cloud Computing Center
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