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Data:
2058.00 2160.00 2260.00 2498.00 2695.00 2799.00 2947.00 2930.00 2318.00 2540.00 2570.00 2669.00 2450.00 2842.00 3440.00 2678.00 2981.00 2260.00 2844.00 2546.00 2456.00 2295.00 2379.00 2479.00 2057.00 2280.00 2351.00 2276.00 2548.00 2311.00 2201.00 2725.00 2408.00 2139.00 1898.00 2537.00 2069.00 2063.00 2526.00 2440.00 2191.00 2797.00 2074.00 2628.00 2287.00 2146.00 2430.00 2141.00 1827.00 2082.00 1788.00 1743.00 2245.00 1963.00 1828.00 2527.00 2114.00 2424.00
Seasonal Period
12
1
2
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4
6
12
Chart options
R Code
par1 <- as.numeric(par1) n <- length(x) sx <- sort(x) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Variance Reduction Matrix',6,TRUE) a<-table.row.end(a) for (bigd in 0:2) { for (smalld in 0:3) { mylabel <- 'V(Y[t],d=' mylabel <- paste(mylabel,as.character(smalld),sep='') mylabel <- paste(mylabel,',D=',sep='') mylabel <- paste(mylabel,as.character(bigd),sep='') mylabel <- paste(mylabel,')',sep='') a<-table.row.start(a) a<-table.element(a,mylabel,header=TRUE) myx <- x if (smalld > 0) myx <- diff(x,lag=1,differences=smalld) if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd) a<-table.element(a,var(myx)) a<-table.element(a,'Range',header=TRUE) a<-table.element(a,max(myx)-min(myx)) a<-table.element(a,'Trim Var.',header=TRUE) smyx <- sort(myx) sn <- length(smyx) a<-table.element(a,var(smyx[smyx>quantile(smyx,0.05) & smyx<quantile(smyx,0.95)])) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable.tab')
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Big Analytics Cloud Computing Center
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