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Data:
100.00 100.42 100.50 101.14 101.98 102.31 103.27 103.80 103.46 105.06 106.08 106.74 107.35 108.96 109.85 109.81 109.99 111.60 112.74 112.78 113.66 115.37 116.26 116.24 116.73 118.76 119.78 120.23 121.48 124.07 125.82 126.92 128.48 131.44 133.51 134.58 136.68 140.10 142.45 143.91 146.19 149.84 152.31 153.62 155.79 159.89 163.21 165.32 167.68 171.79 175.38 177.81 181.09 186.48 191.07 194.23 197.82 204.41 209.26 212.24 214.88 218.87 219.86 219.75 220.89 224.02 222.27 217.27 213.23 212.44 207.87 199.46 198.19 199.77 200.10 195.76 191.27 195.79 192.7
Seasonal Period
4
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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