Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
0.2199069538 -0.4357886071 2.374614187 1.011120303 -0.970742772 2.919724518 0.8720417458 -0.6232293203 0.4613537883 0.4600836703 -0.5508164756 -0.1665505329 1.051373877 1.971136589 0.2803212394 0.02768159779 0.4557517002 -0.6314369857 0.5091990304 2.777388972 -0.4021917857 1.355223708 -1.456909162 2.127677063 -0.3897440895 1.375383905 -1.856257352 -0.2965043485 -0.4254212827 0.865811949 -0.6848098822 0.3591751432 1.05728693 -0.1962467439 -1.011549334 1.124837625 1.443047181 -1.44822171 -1.496908737 1.449683208 -0.9353128687 0.999506838 -0.1143296528 -0.2578489608 0.1300755225 1.002206278 0.925055525 -0.7930448256 0.4458768934 -0.8837345979 0.04461585686 -0.02100387897 0.9381816161 0.6315428913 0.9712893544 -0.4458533189 -0.0299892006 -0.09940892661 0.2015250133 0.5169133826 0.45569589 1.964754451 2.264100528 -0.4350278145 -0.2278660268 2.477143431 0.779814768 0.830579953 -2.533082749 -0.07751712897 0.318054594 0.4988606154 -0.2366617798 1.13383581 0.05023807449 -1.277034063 0.8622694577 0.1062020255 -0.7998689841 1.836111989 -0.9590814881 0.1069917111 -0.708959975 -0.1395097316 0.5484575656 -0.9166260404 2.189879497 -0.6869464425 0.2985288882 -2.633499284 0.9481140187 -0.6918225148 -1.641376012 -0.3273949059 -0.5604240082 -1.042803902 0.2363390015 -0.5990248085 -0.2048421161 -0.9351864166 1.962504525 0.2288025657 -0.3656204948 1.122389968 -1.028809757 0.00290604392 -0.9061695968 -1.401897535 0.7765850647 1.9283303 -0.3475124318 -0.4760184569 0.4467520029 0.05381942309 -0.2460926085 0.3798220738 0.8742576988 1.054165517 -1.774706797 0.27396944 0.8436778424 -0.6905674205 0.4934378636 0.4209807255 -0.1040233479 -1.718945214 -1.402459263 1.916160819 -0.01023806788 -0.8151895794 -2.001099456 -1.193026564 -1.040585079 -2.039329721 0.1874822369 0.4613274563 -1.229904851 0.539521606 1.085359945 1.232737865 -2.430379579 -1.593233756 -0.752966233 -2.577637923 0.5372215012 1.462794761 -0.1433774213 0.5379109273 -1.470827907 -1.819665083
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) library(car) 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$estimate[2])^2),min(x),max(x),add=T) dev.off() bitmap(file='test3.png') qqPlot(x,dist='norm',main='QQ plot (Normal) with confidence intervals') grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Parameter',1,TRUE) a<-table.element(a,'Estimated Value',1,TRUE) a<-table.element(a,'Standard Deviation',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,r$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