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Data:
100.80 100.80 100.80 90.10 95.70 88.60 93.30 93.30 93.30 93.30 93.30 93.30 88.60 97.40 97.40 102.90 102.90 102.90 105.10 105.10 105.10 105.10 105.10 105.10 96.90 96.90 96.90 96.90 96.90 96.90 96.50 96.50 96.50 96.00 96.00 96.00 96.00 96.00 96.00 105.80 105.80 105.80 105.80 105.80 105.80 105.80 105.80 105.80 123.60 142.20 142.20 141.20 141.20 141.20 124.70 124.70 124.70 122.70 122.70 122.70 123.30 123.30 123.30 127.20 127.20 127.20 140.00 140.00 140.00 140.00 140.00 140.00 139.00 139.00 139.00 147.00 147.00 147.00 147.10 147.10
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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