Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
1.74138367229942 -2.88580372001652 -3.00801521083293 5.35873352650856 -0.350197418097050 -4.44477983570422 -14.1704246279256 5.06291770302617 8.16317098727172 -6.63032011800066 -0.955084752066612 4.76580237731785 4.64634662056524 -3.37632197945722 -3.48596660066835 0.00318885841739619 -2.30873579009489 4.510676743397 3.86380235714235 -4.84743390386536 1.19326683102373 9.49359417425812 -5.7256091522179 -6.7409221436693 -8.37465970382766 2.41947579953488 2.51107146040831 2.31318281556092 -3.02118693681124 3.49111382410466 -5.27208657466297 -1.65652539783093 1.158900365591 3.29699796504326 5.45943755223924 -3.39089745529757 -3.24888068501405 -3.76725354399628 -1.01610429731824 -0.141686930225946 -2.40143497370904 3.01483128334767 -2.37153731174333 1.90350531137286 -3.75249259201867 -1.15949421149824 1.41625767699710 0.756276066572336 1.74232125798030 -2.82713799160403 2.91169906841461 -7.53666538846806 8.89398251304836 -1.48741996092416 3.26139630257603 -3.15021888842772 3.8905793816289 7.41906373843078 7.78286136215999 -3.77518512848798 0.0882557144562938 1.75385231671455 1.56061031268522 -1.4983198165646 4.36211820238709 2.31013654316626 -2.33448411305145 -1.40752353154939
Sample Range:
(leave blank to include all observations)
From:
To:
bandwidth of density plot
(?)
# lags (autocorrelation function)
(?)
30
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
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')
Compute
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
Click here to blog (archive) this computation