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Data:
20538.6 20667.5 20554.9 19982.3 19636.6 19587.9 19861.1 20164.6 20146.9 20192.8 20361.8 20639.7 21251.5 21313.1 21300.0 20477.3 20128.3 20079.5 20235.9 20444.8 20319.9 20384.9 20506.7 20796.5 21760.2 21971.6 21652.7 20702.7 20379.9 20240.1 20376.5 20680.4 20532.0 20749.2 20900.7 21141.8 21770.2 21792.6 21670.1 20810.5 20647.0 20312.9 20014.2 20491.2 20302.7 20641.0 20475.6 20703.0 21158.6 20866.8 20595.2 19373.1 18675.4 18737.5 18587.6 18798.3 18429.5 18485.1 18597.5 18615.1
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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