Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
100.00 99.95 102.07 102.02 102.63 102.88 103.01 104.33 105.21 104.73 104.17 103.69 104.33 105.21 105.31 105.54 106.70 106.60 105.01 104.33 104.17 103.42 102.33 101.82 103.57 103.90 104.58 105.03 105.67 105.69 105.72 105.84 105.79 105.39 105.97 106.50 107.13 109.36 109.36 108.42 107.94 108.10 108.40 110.55 111.81 112.55 111.66 111.38 113.10 115.18 121.07 123.07 123.40 122.92 122.39 123.55 124.97 124.87 123.27 121.96 122.49 125.68 126.76 126.44 125.35 126.01 127.45 130.58 133.09 133.34 132.84 133.80
Sample Range:
(leave blank to include all observations)
From:
To:
Color code
(?)
Number of bins
(?)
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
library(MASS) par1 <- as.numeric(par1) if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2) x <- as.ts(x) #otherwise the fitdistr function does not work properly r <- fitdistr(x,'normal') r bitmap(file='test1.png') myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F) curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Parameter',1,TRUE) a<-table.element(a,'Estimated Value',1,TRUE) a<-table.element(a,'Standard Deviation',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,r$estimate[1]) a<-table.element(a,r$sd[1]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'standard deviation',header=TRUE) a<-table.element(a,r$estimate[2]) a<-table.element(a,r$sd[2]) 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