Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
14731798.37 16471559.62 15213975.95 17637387.4 17972385.83 16896235.55 16697955.94 19691579.52 15930700.75 17444615.98 17699369.88 15189796.81 15672722.75 17180794.3 17664893.45 17862884.98 16162288.88 17463628.82 16772112.17 19106861.48 16721314.25 18161267.85 18509941.2 17802737.97 16409869.75 17967742.04 20286602.27 19537280.81 18021889.62 20194317.23 19049596.62 20244720.94 21473302.24 19673603.19 21053177.29 20159479.84 18203628.31 21289464.94 20432335.71 17180395.07 15816786.32 15071819.75 14521120.61 15668789.39 14346884.11 13881008.13 15465943.69 14238232.92 13557713.21 16127590.29 16793894.2 16014007.43 16867867.15 16014583.21 15878594.85 18664899.14 17962530.06 17332692.2 19542066.35 17203555.19
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
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation