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Data:
0.06973015238 -0.3144246745 1.575562038 -2.623294015 -1.425683502 1.196936391 0.01719948837 0.05218244314 0.7466760549 -0.5623585024 0.5379620109 0.3424440895 0.4488664403 -0.4982823301 0.3061084429 0.3241873954 -0.8437668869 1.823439132 -1.49074738 -0.1190302861 0.2031368293 0.1691486502 0.717278164 -0.9377819526 0.7630565572 1.863453541 -0.02037143735 -1.323386938 0.5630666185 -1.75020269 -0.343027696 -0.8801523973 -0.6673103942 -1.614594351 0.9872428409 0.4367605318 1.987123644 0.970607869 0.3860535732 -1.382154249 0.5448449668 -1.487466704 -0.5185120498 0.1301357138 -1.220414404 -1.27681777 -0.1167352925 -0.3175397308 -0.3933143171 -0.8481273981 0.6862774937 0.2250806681 -1.79617862 1.052061045 0.7085102573 -0.8163019478 -0.133893114 -0.5174607572 -0.5366729607 -1.072162646 0.5955723079 -1.356994831 -1.133862713 -0.5263937019 0.4250164038 1.444009431 -1.324564383 0.4208287617 -0.5237664623 -0.6887233186 -1.331783002 1.124553958 1.752616694 0.2244015571 -0.4502331566 0.1009399641 0.6661348628 0.9899203447 -0.4021742251 0.6675127389 1.298685598 -0.2512430175 -0.9588699082 0.8177998477 1.39782252 -0.281955303 0.1723264621 -0.6696611756 -0.8931421253 0.1673217976 1.195262048 2.112061808 -0.5706599137 0.6291034785 -0.1933503215 -0.2239464956 0.4279062385 1.343827659 -0.4878921919 1.453685464 -1.842490145 -0.06082340576 -2.323424769 0.8411247753 0.3330229335 0.3437731325 -0.6908982103 -0.5197822918 -0.2687860017 -1.064748208 -1.417987169 0.2737486719 0.3271003571 0.922705213 0.0844495323 1.235073845 1.164675901 -0.0364945847 -1.189716075 -0.5278698036 -0.0379867841 0.01450014743 -0.1195912553 -0.5941809729 -1.549258528 -2.582415961 -1.000597305 0.2227649179 0.4498988795 1.21964497 1.646570356 -1.43755058 -0.3258398525 1.72688552 0.001357232347 1.438719992 -0.7235608054 0.2935187877 -0.3968601348 -2.604326461 -0.8751335704 -1.655159682 0.7453909276 -1.102084525 0.814141524 0.6346737606 -0.3957811051 -0.04480669502 0.4112609469 0.7371927542
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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')
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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