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Data:
122302.01 109264.65 103674.75 103890.3 75512.66 83121.3 125096.81 74206.73 88481.63 111598.17 146919.48 150790.85 113780.5 110870.76 118785.32 112820.5 102188.92 97092.73 114067.82 89690.15 89267.9 96198.64 129599.75 169424.7 152510.91 121850.2 144737.64 121381.88 106894.86 94305.06 116800.42 77584.28 100680.88 106634.05 168390.77 211971.89 136163.28 168950.25 89816.88 85406.93 66055.52 73311.68 85674.51 82822.59 94277.63 100991.65 149245.88 208517.17 40733.51 121352.23 104020.11 99566.82 101352.17 106628.41 109696.95 248696.37 105628.33 120449.17 136547.7 140896.42 131509.91 95450.31 133592.64 110332.9 88110.54 64931.25 98446.22 84212.38 77519.55 124806.02 102185.94 151348.79 124378.28 101433.13 126724.22 87461.88 95288.27 129055.33 107753.06 96364.03 71662.75 125666.24 456841.51 167642.32 167154.73 139685.18 119275.2 122746.05 107337.43 112584.89 133183.08 121152.57 119815.6 122858.44 152077.17 157221.96 140435.08 101455.09 104791.29 77226.59 84477.43 66227.74 89076.23 108924.43 83926.11 91764.8 120892.76 129952.42 135865.14 105512.77 96486.62 78064.88 92370.22 98454.46 96703.93 83170.95
Sample Range:
(leave blank to include all observations)
From:
To:
bandwidth of density plot
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# lags (autocorrelation function)
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Chart options
R Code
par1 <- as.numeric(par1) par2 <- as.numeric(par2) x <- as.ts(x) library(lattice) bitmap(file='pic1.png') plot(x,type='l',main='Run Sequence Plot',xlab='time or index',ylab='value') grid() dev.off() bitmap(file='pic2.png') hist(x) grid() dev.off() bitmap(file='pic3.png') if (par1 > 0) { densityplot(~x,col='black',main=paste('Density Plot bw = ',par1),bw=par1) } else { densityplot(~x,col='black',main='Density Plot') } dev.off() bitmap(file='pic4.png') qqnorm(x) grid() dev.off() if (par2 > 0) { bitmap(file='lagplot.png') dum <- cbind(lag(x,k=1),x) dum dum1 <- dum[2:length(x),] dum1 z <- as.data.frame(dum1) z plot(z,main=paste('Lag plot, lowess, and regression line')) lines(lowess(z)) abline(lm(z)) dev.off() bitmap(file='pic5.png') acf(x,lag.max=par2,main='Autocorrelation Function') grid() dev.off() } summary(x) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Descriptive Statistics',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'# observations',header=TRUE) a<-table.element(a,length(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'minimum',header=TRUE) a<-table.element(a,min(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Q1',header=TRUE) a<-table.element(a,quantile(x,0.25)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'median',header=TRUE) a<-table.element(a,median(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,mean(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Q3',header=TRUE) a<-table.element(a,quantile(x,0.75)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'maximum',header=TRUE) a<-table.element(a,max(x)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Summary of computational transaction
Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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