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Data:
38327240.00 38147255.00 37964735.00 37587020.00 41323610.00 41125880.00 38327240.00 36466550.00 36646535.00 36646535.00 36846800.00 37206770.00 37767005.00 37767005.00 37407035.00 36466550.00 41323610.00 42063830.00 40945895.00 38327240.00 39447710.00 37767005.00 38524970.00 38887475.00 39265190.00 38327240.00 38524970.00 37206770.00 41323610.00 42624065.00 41506130.00 39447710.00 41686115.00 39265190.00 41506130.00 41323610.00 41883845.00 39825425.00 42063830.00 41883845.00 45242720.00 44484755.00 41506130.00 40005410.00 42063830.00 39265190.00 41323610.00 41686115.00 42444080.00 40765910.00 41686115.00 42246350.00 44304770.00 42624065.00 40385660.00 37964735.00 40205675.00 34045625.00 37026785.00 38704955.00 40385660.00 37964735.00 37964735.00 37964735.00 39265190.00 37407035.00 34968365.00 32927690.00 34408130.00 28628330.00 32169725.00 34228145.00 34605860.00 32547440.00 32727425.00 32169725.00 34045625.00 32727425.00 30129050.00 28250615.00 31426970.00 24529235.00 29008580.00 31049255.00 31049255.00 28628330.00 26389925.00 26209940.00 28250615.00 26389925.00 22851065.00 20412395.00 23031050.00 16873535.00 22470815.00 25449440.00 26389925.00 24331505.00 21730595.00 23591285.00 24331505.00 23771270.00 18171455.00 15573080.00 17431235.00 11833955.00 17613755.00 19672175.00 21350345.00 18551705.00 15933050.00 17431235.00 18171455.00 16691015.00 11093735.00 8655065.00 10893470.00 4735955.00 11453705.00 15573080.00
Type of Seasonality
48481212additiveadditive
additive
multiplicative
Seasonal Period
111212
12
1
2
3
4
5
6
7
8
9
10
11
12
Chart options
R Code
par2 <- as.numeric(par2) x <- ts(x,freq=par2) m <- decompose(x,type=par1) m$figure bitmap(file='test1.png') plot(m) dev.off() mylagmax <- length(x)/2 bitmap(file='test2.png') op <- par(mfrow = c(2,2)) acf(as.numeric(x),lag.max = mylagmax,main='Observed') acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend') acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal') acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random') par(op) dev.off() bitmap(file='test3.png') op <- par(mfrow = c(2,2)) spectrum(as.numeric(x),main='Observed') spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend') spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal') spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random') par(op) dev.off() bitmap(file='test4.png') op <- par(mfrow = c(2,2)) cpgram(as.numeric(x),main='Observed') cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend') cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal') cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random') par(op) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'t',header=TRUE) a<-table.element(a,'Observations',header=TRUE) a<-table.element(a,'Fit',header=TRUE) a<-table.element(a,'Trend',header=TRUE) a<-table.element(a,'Seasonal',header=TRUE) a<-table.element(a,'Random',header=TRUE) a<-table.row.end(a) for (i in 1:length(m$trend)) { a<-table.row.start(a) a<-table.element(a,i,header=TRUE) a<-table.element(a,x[i]) if (par1 == 'additive') a<-table.element(a,signif(m$trend[i]+m$seasonal[i],6)) else a<-table.element(a,signif(m$trend[i]*m$seasonal[i],6)) a<-table.element(a,signif(m$trend[i],6)) a<-table.element(a,signif(m$seasonal[i],6)) a<-table.element(a,signif(m$random[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
0 seconds
R Server
Big Analytics Cloud Computing Center
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