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Data:
75.90 77.70 86.90 90.70 91.00 89.50 92.50 94.10 98.50 96.80 91.20 97.10 104.90 110.90 104.80 94.10 95.80 99.30 101.10 104.00 99.00 105.40 107.10 110.70 117.10 118.70 126.50 127.50 134.60 131.80 135.90 142.70 141.70 153.40 145.00 137.70 148.30 152.20 169.40 168.60 161.10 174.10 179.00 190.60 190.00 181.60 174.80 180.50 196.80 193.80 197.00 216.30 221.40 217.90 229.70 227.40 204.20 196.60 198.80 207.50 190.70 201.60 210.50 223.50 223.80 231.20 244.00
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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