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Data:
-706.026542296181 -59.4405579520267 -969.833720383066 1994.56903063601 102.064814516947 1282.18411025837 -307.754606959943 225.069461418321 -862.471322666482 -2850.16172979440 -3875.76341994283 2996.98129088558 1931.51753614196 488.179241950267 -601.581627830989 -3495.10356420977 265.163825175723 640.313274555833 -3418.45097379814 2072.03398243007 2662.9984145817 -1064.81719671349 -9.57987333730985 -2208.8867746199 -4275.21498681124 381.837227886395 1914.99171248840 1019.08609621188 884.745394297871 -1702.08983953302 -2064.71644375347 -2452.89205796152 1313.39939683182 -569.737683944086 -187.9171774845 -128.334928612711 -2601.14827891639 581.657297679053 -299.792761503996 2868.57371158154 2723.0124492194 -1846.18418996859 -6526.92686969168 -3652.78139505582 2790.5729463211 -7703.28365973859 -1373.42544129638 -2976.48819823291 5585.1945937738 -2568.07437379205 -4750.48266905558 1324.51875012340 -1689.96832952026 -7068.09981170815 1855.55513995599 2269.56153308754 -4661.24493442205 3260.97170059017 2160.39821896397 4793.18303923311 -2209.06420471032 -2213.50510931699 -3114.14394163762 3411.46075067066 -4693.81993673823 5920.52037235391 -2077.91680939984 -3642.83868232441 332.648590721953 2734.67402718683 7903.1305482291 5491.06198558059 4354.83029956606 1619.51905250655 5543.22938817069 -366.008933224093 -3459.03179080274 1134.72876550400 -2525.56367971036 -926.76612281528 -2956.34221718809 -885.143314774538
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) qqline(x) grid() dev.off() if (par2 > 0) { bitmap(file='lagplot1.png') dum <- cbind(lag(x,k=1),x) dum dum1 <- dum[2:length(x),] dum1 z <- as.data.frame(dum1) z plot(z,main='Lag plot (k=1), lowess, and regression line') lines(lowess(z)) abline(lm(z)) dev.off() if (par2 > 1) { bitmap(file='lagplotpar2.png') dum <- cbind(lag(x,k=par2),x) dum dum1 <- dum[(par2+1):length(x),] dum1 z <- as.data.frame(dum1) z mylagtitle <- 'Lag plot (k=' mylagtitle <- paste(mylagtitle,par2,sep='') mylagtitle <- paste(mylagtitle,'), and lowess',sep='') plot(z,main=mylagtitle) lines(lowess(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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R Server
Big Analytics Cloud Computing Center
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