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Data:
103.52 103.5 103.52 103.53 103.53 103.53 103.52 103.54 103.59 103.59 103.59 103.59 103.63 103.74 103.7 103.72 103.81 103.8 104.22 106.91 107.06 107.17 107.25 107.28 107.24 107.23 107.34 107.34 107.3 107.24 107.3 107.32 107.28 107.33 107.33 107.33 107.28 107.28 107.29 107.29 107.23 107.24 107.24 107.2 107.23 107.2 107.21 107.24 107.21 113.89 114.05 114.05 114.05 114.05 115.12 115.68 116.05 116.18 116.35 116.44 117 117.61 118.17 118.33 118.33 118.42 118.5 118.67 119.09 119.14 119.23 119.33
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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