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Data:
83.87 84.23 84.61 84.82 85.04 85.06 84.93 84.98 85.23 85.30 85.33 85.55 85.70 85.88 86.04 86.07 86.31 86.38 86.35 86.55 86.70 86.74 86.85 86.95 86.80 87.01 87.17 87.43 87.66 87.68 87.59 87.65 87.72 87.70 87.71 87.80 87.62 87.84 88.17 88.47 88.58 88.57 88.55 88.68 88.79 88.85 88.95 89.27 89.09 89.42 89.72 89.85 89.96 90.25 90.20 90.27 90.78 90.79 90.98 91.25 90.75 91.01 91.50 92.09 92.56 92.66 92.38 92.38 92.66 92.69 92.59 92.98 92.98 93.15 93.65 94.06 94.24 94.24 94.11 94.16 94.43 94.67 94.60 95.00 94.84 95.26 95.81 95.92 95.85 95.90 95.80 96.00 96.34 96.43 96.48 96.75 96.51 96.69 97.28 97.69 98.08 98.09 97.92 98.06 98.23 98.57 98.53 98.92 98.42 98.73 99.32 99.73 100.00 100.08 100.02 100.26 100.71 100.95 100.75 101.03 100.64 100.93 101.41 102.07 102.42 102.53 102.43 102.60 102.65 102.74 102.82 103.21 102.75 103.09 103.71 104.30 104.58 104.71 104.44 104.57 104.95 105.49 106.03 106.48 106.25 106.70 107.60 108.05 108.72 109.17 109.08 109.04 109.34 109.37 108.96 108.77 108.11 108.67 109.05 109.43 109.62 109.85 109.34 109.65 109.69 109.91 110.09

Seasonal Period


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')

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	Big Analytics Cloud Computing Center