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Data:
99.4 102.7 109.3 93.9 95.3 101.8 85.6 81.1 109.5 104.0 94.5 79.0 92.8 95.6 101.7 90.8 89.5 91.8 83.8 77.4 112.7 98.8 85.7 72.8 96.9 95.0 94.2 87.3 80.6 87.9 79.6 71.9 94.6 91.4 86.6 68.5 90.1 91.6 95.4 85.4 81.6 88.9 84.1 74.7 97.1 95.3 85.1 67.3 80.6 87.9 89.2 81.3 79.7 83.7 82.1 69.3 91.2 85.7 85.2 70.0 85.8 91.4 97.5 87.1 85.1 94.1 85.8 74.7 99.9 90.7 86.8 74.8 91.8 97.6 100.8 85.4 84.0 90.6 80.5 73.9 93.6
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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