Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
1143.94 1227.85 1261.26 1408.95 1162.58 1259.39 1253.85 1475.32 1211.75 1303.83 1299.37 1430.73 1244.95 1318.58 1318.74 1525.05 1275.88 1360.09 1349.81 1574.04 1294.58 1380.60 1369.22 1565.98 1338.96 1457.57 1456.21 1654.44 1428.47 1530.39 1514.13 1698.25 1454.22 1578.06 1526.53 1714.21 1492.86 1593.42 1555.50 1820.55 1534.57 1636.03 1594.58 1805.13 1565.37 1679.57 1638.26 1854.64 1628.72 1744.97 1694.35 1920.88 1680.26 1778.62 1740.89 2010.56
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation