Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
1045.9 1401.9 1027.6 1703.8 1481.3 1422.7 1304.7 1246.1 1417.8 1459.1 1156.4 1304.5 1336.9 1372.3 975.5 1180.8 1361.3 1428.1 1355.9 1781.2 1697 1852 1844.1 1967.2 1747.1 1863.9 1559.3 1675 2237.5 1965.2 1871.5 1752.2 1360.7 1444.3 1621.6 1368 1553.9 1695.3 1397.1 1848.4 1809.2 1551.1 1546.6 1467.9 1662.4 1972.3 1673.5 1762 2019.8 1754.3 1400.4 1453.6 1740.9 1694.6 1541.2 1482.3 1632.1 1837.3 1797 2066.2 1983.8 1601.7 1660.3 1954 1991.9 1881.4 2345.5 1773.1 1719.2 2240.9 1816.4 2171.3 1823.3 2022.5 1991 1920 2168.4 2013.5 1790.8 1855.7 2074 2535.8 1837.2 1805.1 1785.7 2250 1959.7 1890.8 2405.7 2090.3 1666.5 1803.5 1793.8 1488.8 1545 1369.9 1451.6
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