Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
24 14 11 12 24 26 25 11 7 8 25 23 17 6 17 8 30 25 18 12 10 8 19 23 18 8 12 9 22 19 16 10 12 7 22 29 20 10 11 4 25 25 16 11 11 11 23 21 18 16 12 7 17 22 17 11 13 7 21 25 23 13 14 12 19 24 30 12 16 10 19 18 23 8 11 10 15 22 18 12 10 8 16 15 15 11 11 8 23 22 12 4 15 4 27 28 21 9 9 9 22 20 15 8 11 8 14 12 20 8 17 7 22 24 31 14 17 11 23 20 27 15 11 9 23 21 34 16 18 11 21 20 21 9 14 13 19 21 31 14 10 8 18 23 19 11 11 8 20 28 16 8 15 9 23 24 20 9 15 6 25 24 21 9 13 9 19 24 22 9 16 9 24 23 17 9 13 6 22 23 24 10 9 6 25 29 25 16 18 16 26 24 26 11 18 5 29 18 25 8 12 7 32 25 17 9 17 9 25 21 32 16 9 6 29 26 33 11 9 6 28 22 13 16 12 5 17 22 32 12 18 12 28 22 25 12 12 7 29 23 29 14 18 10 26 30 22 9 14 9 25 23 18 10 15 8 14 17 17 9 16 5 25 23 20 10 10 8 26 23 15 12 11 8 20 25 20 14 14 10 18 24 33 14 9 6 32 24 29 10 12 8 25 23 23 14 17 7 25 21 26 16 5 4 23 24 18 9 12 8 21 24 20 10 12 8 20 28 11 6 6 4 15 16 28 8 24 20 30 20 26 13 12 8 24 29 22 10 12 8 26 27 17 8 14 6 24 22 12 7 7 4 22 28 14 15 13 8 14 16 17 9 12 9 24 25 21 10 13 6 24 24 19 12 14 7 24 28 18 13 8 9 24 24 10 10 11 5 19 23 29 11 9 5 31 30 31 8 11 8 22 24 19 9 13 8 27 21 9 13 10 6 19 25 20 11 11 8 25 25 28 8 12 7 20 22 19 9 9 7 21 23 30 9 15 9 27 26 29 15 18 11 23 23 26 9 15 6 25 25 23 10 12 8 20 21 13 14 13 6 21 25 21 12 14 9 22 24 19 12 10 8 23 29 28 11 13 6 25 22 23 14 13 10 25 27 18 6 11 8 17 26 21 12 13 8 19 22 20 8 16 10 25 24 23 14 8 5 19 27 21 11 16 7 20 24 21 10 11 5 26 24 15 14 9 8 23 29 28 12 16 14 27 22 19 10 12 7 17 21 26 14 14 8 17 24 10 5 8 6 19 24 16 11 9 5 17 23 22 10 15 6 22 20 19 9 11 10 21 27 31 10 21 12 32 26 31 16 14 9 21 25 29 13 18 12 21 21 19 9 12 7 18 21 22 10 13 8 18 19 23 10 15 10 23 21 15 7 12 6 19 21 20 9 19 10 20 16 18 8 15 10 21 22 23 14 11 10 20 29 25 14 11 5 17 15 21 8 10 7 18 17 24 9 13 10 19 15 25 14 15 11 22 21 17 14 12 6 15 21 13 8 12 7 14 19 28 8 16 12 18 24 21 8 9 11 24 20 25 7 18 11 35 17 9 6 8 11 29 23 16 8 13 5 21 24 19 6 17 8 25 14 17 11 9 6 20 19 25 14 15 9 22 24 20 11 8 4 13 13 29 11 7 4 26 22 14 11 12 7 17 16 22 14 14 11 25 19 15 8 6 6 20 25 19 20 8 7 19 25 20 11 17 8 21 23 15 8 10 4 22 24 20 11 11 8 24 26 18 10 14 9 21 26 33 14 11 8 26 25 22 11 13 11 24 18 16 9 12 8 16 21 17 9 11 5 23 26 16 8 9 4 18 23 21 10 12 8 16 23 26 13 20 10 26 22 18 13 12 6 19 20 18 12 13 9 21 13 17 8 12 9 21 24 22 13 12 13 22 15 30 14 9 9 23 14 30 12 15 10 29 22 24 14 24 20 21 10 21 15 7 5 21 24 21 13 17 11 23 22 29 16 11 6 27 24 31 9 17 9 25 19 20 9 11 7 21 20 16 9 12 9 10 13 22 8 14 10 20 20 20 7 11 9 26 22 28 16 16 8 24 24 38 11 21 7 29 29 22 9 14 6 19 12 20 11 20 13 24 20 17 9 13 6 19 21 28 14 11 8 24 24 22 13 15 10 22 22 31 16 19 16 17 20
Sample Range:
(leave blank to include all observations)
From:
To:
bandwidth of density plot
(?)
# lags (autocorrelation function)
(?)
36
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) 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')
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