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Data:
2539.91 2502.66 2466.92 2513.17 2443.27 2293.41 2070.83 2029.60 2052.02 1864.44 1670.07 1810.99 1905.41 1862.83 2014.45 2197.82 2962.34 3047.03 3032.60 3504.37 3801.06 3857.62 3674.40 3720.98 3844.49 4116.68 4105.18 4435.23 4296.49 4202.52 4562.84 4621.40 4696.96 4591.27 4356.98 4502.64 4443.91 4290.89 4199.75 4138.52 3970.10 3862.27 3701.61 3570.12 3801.06 3895.51 3917.96 3813.06 3667.03
Seasonal Period
12
12
1
2
3
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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