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0.09490722626	0.2736319494	0.6380469708	0.9508317246	0.9884798006	0.6577762479	0.7732423528	0.4358869818	0.5123388765	0.3376219562	0.5691853952	0.8035289781	1.03547846	8.610533422	7.80044551	1.072215642
0.5503859569	0.1028656371	0.4541954852	0.1183054112	0.6527338586	0.6707505078	0.602222844	0.1193686383	0.8685763702	0.9715778279	0.008558641923	0.6753601958	-0.205098625	14.44358029	14.71011444	0.04206544599
0.2010378563	0.01015485201	0.4358310577	0.5514529895	0.9621091453	0.457506274	0.5127886435	0.3543043418	0.2598780374	0.8078410679	0.2380984457	0.8419619308	-0.3670353582	11.84779088	14.7799529	0.1347149542
0.08561445402	0.1476797955	0.892363809	0.1383042676	0.9848712291	0.3272122804	0.893792035	0.7753857116	0.09461385583	0.5983691968	0.446420158	0.9020956913	0.2867224842	11.72751023	11.75826181	0.08220978293
0.407493368	0.5897552689	0.9245320829	0.4438305084	0.4847287189	0.8255057608	0.8128784108	0.4754153331	0.4806660091	0.8632922759	0.6795355161	0.5783028862	1.565936139	6.052932335	5.940690313	2.452155992
0.2649339698	0.5261176164	0.0967179755	0.493114741	0.6322163847	0.6332037537	0.6445844819	0.9498795961	0.07501362572	0.09719070972	0.134054095	0.1608626544	-1.292110396	18.32300195	12.0318229	1.669549275
0.3613674611	0.248028803	0.9668762718	0.09466887764	0.2073742091	0.768360069	0.1146745898	0.3153418167	0.6634137303	0.68084914	0.5434107754	0.8664694727	-0.1691647834	11.6213561	11.39383642	0.02861672395
0.4433722246	0.4148380727	0.03569210919	0.407846703	0.317739551	0.09786300764	0.270571792	0.5710336607	0.8643122216	0.8669856569	0.7089686006	0.2901883982	-0.7105880019	14.17935517	12.08236494	0.5049353085
0.3243358421	0.1755553688	0.3025585156	0.6858405727	0.04727131677	0.7829329837	0.2949678449	0.9318129758	0.02397163804	0.3578704768	0.416323333	0.4192859553	-1.237273176	22.40274762	8.658056959	1.530844913
0.3059068133	0.4006555003	0.5856924606	0.4470392641	0.687176719	0.4947931373	0.8306721092	0.6131947666	0.886402811	0.7359119629	0.5093617979	0.06132265686	0.558129999	6.150599243	12.02140205	0.3115090958
0.6071913708	0.5537449446	0.0771834953	0.7425626782	0.2787124091	0.04245042097	0.5794865535	0.8954510382	0.9820399711	0.3452016936	0.7706032625	0.01643288897	-0.1089392732	10.32474684	18.66128442	0.01186776524
0.05325137217	0.6008886409	0.2609968018	0.696579013	0.1208839441	0.4539382143	0.3763699195	0.8338145404	0.8831998982	0.1526749554	0.4760794296	0.8950068904	-0.1963163802	16.46492049	7.665652223	0.03854012115
0.7598112037	0.8173068955	0.3229279983	0.09854859423	0.6625683237	0.5455359663	0.7223813054	0.6156103508	0.5222174709	0.6419562139	0.05648522931	0.1470280967	-0.08762235113	11.33058442	11.94088098	0.007677676417
0.880183514	0.4068174374	0.5262343866	0.5228275506	0.8089364902	0.6003954065	0.8858696383	0.2926783549	0.6597516785	0.9111243654	0.2035590875	0.6281091549	1.326487065	6.221088963	7.689718818	1.759567933
0.6532746995	0.4988115065	0.7151432724	0.2411038214	0.1261542032	0.9586666326	0.151102194	0.4387385066	0.3261072242	0.857545261	0.01162820708	0.8798077139	-0.1419167576	20.59185929	6.531702894	0.02014036608

par2 <- '0'
par1 <- '8'
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')