Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
-22.730 -16.730 -8.595 -8.449 -7.741 -6.460 -1.606 0.675 6.383 11.383 9.102 7.956 -1.325 3.237 4.810 7.518 7.383 -9.314 -10.741 -17.303 -15.584 -14.730 -17.157 -25.573 -35.989 -56.529 -64.788 -37.540 -24.124 -19.989 -16.989 -20.562 -17.562 -18.416 -26.832 -29.697 -28.697 -26.697 -26.551 -37.394 -46.248 -51.383 -62.518 -42.529 -35.956 -40.956 -46.091 -41.102 -30.540 -50.507 -31.102 -29.821 -23.259 -19.832 -22.686 -26.967 -31.394 -19.124 -29.405 -24.124 -25.978 -36.821 -35.394 -33.821 -33.394 -30.967 -24.832 -31.832 -46.956 -47.529 -49.102 -42.394 -51.967 -38.113 -38.967 -33.259 -26.416 -27.416 -33.405 -30.843 -32.124 -26.416 -23.843 -25.000 -23.427 -14.865 -16.292 -36.821 -22.281 -19.146 -22.573 -12.157 -16.292 -15.292 -19.146 -27.011 -26.584 -23.876 -38.157 -30.449 -33.303 -27.168 -24.314 -32.730 -40.865 -45.011 -51.427 -43.135 -41.135 -52.675 -59.507 -65.923 -58.204 -66.339 -64.485 -53.485 -50.058 -47.631 -44.923 -30.507 -31.507
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
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation