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Data:
85 95.9 108.9 96.2 100.1 105.7 64.5 66.8 110.3 96.1 102.5 97.6 83.6 86.5 96.0 91.1 87.2 84.5 59.2 61.5 98.8 97.9 92.7 84.2 74.5 79.7 86.8 79.8 87.0 91.4 58.7 62.8 87.9 90.4 80.6 73.5 71.4 70.6 78.3 76.0 77.4 80.9 63.4 58.1 88.2 81.2 84.9 76.4 71.5 76.1 82.9 78.0 82.0 84.7 55.7 59.5 83.2 87.6 76.2 76.4 68.3 70.0 76.3 70.9 72.4 80.1 57.4 62.7 82.6 88.9 80.4 72.0 69.4 69.2 77.3 79.4 78.6 76.1 61.8 59.4 78.1
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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