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Data:
0.2503562712 0.83434666 0.9665238124 0.7458145663 0.1758793614 0.61687072 0.1662698012 0.7328087036 0.935649947 0.9229090822 0.7592699007 0.1818563753 0.2666889047 0.8849671272 0.7590848856 0.4526978763 0.747327825 0.5699014509 0.9412863651 0.3153006523 0.1708357786 0.8066480891 0.9690365989 0.2170405288 0.7979522408 0.2678570917 0.1475745875 0.5537894797 0.9883262551 0.3054333349 0.3076083225 0.4449094507 0.7108620378 0.03998341406 0.3176135646 0.5121525592 0.4329704648 0.2041690133 0.7250384392 0.1624674225 0.8887272664 0.2399664005 0.02641472304 0.8747119223 0.2259370905 0.1498321903 0.06637506844 0.9902719494 0.03210394593 0.6017754268 0.06557658983 0.507586658 0.7393080346 0.7883357393 0.7775307163 0.3805798352 0.9079886075 0.5394679229 0.2743393617 0.820997541 0.8896331642 0.1893327864 0.8613370477 0.1046520131 0.3683730488 0.6969940365 0.620639702 0.3815717822 0.2814849568 0.5210216529 0.08359942457 0.9900581118 0.618799048 0.7480013605 0.5321654817 0.7746476339 0.6010131187 0.9749503679 0.4291517304 0.9079812044 0.7369130368 0.4456395156 0.4774102704 0.7165791634 0.259499446 0.9408214089 0.8079110497 0.01052253153 0.4410207619 0.9223650039 0.7967282192 0.4170408952 0.2869123473 0.4312963867 0.01093224715 0.2180060782 0.1086419956 0.2397457538 0.7833886338 0.1913325022 0.4754616072 0.7568007481 0.9164627286 0.956283364 0.04506521944 0.1882659073 0.01463074518 0.3226834859 0.773153095 0.4503284831 0.9459971767 0.1440380728 0.001902282732 0.337130402 0.9327183053 0.1745579191 0.9273433424 0.4422467016 0.7703321259 0.4300907752 0.945643198 0.3340697953 0.6759943354 0.5529590295 0.3782943938 0.4851004664 0.2656207351 0.6807035807 0.07621062787 0.4551447795 0.1599357739 0.3187339948 0.4027283463 0.828417393 0.7194274448 0.7168848828 0.09551477775 0.4045510732 0.4082082621 0.2498785631 0.5073821334 0.1435123854 0.2867826675 0.3016939737 0.7260079943 0.3644238991 0.1337206798 0.1538417662 0.07256214682 0.698292243
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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') print(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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Big Analytics Cloud Computing Center
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