• QR Code (size=2)
• QR Code (size=3)
• QR Code (size=4)
• QR Code (size=5)
• QR Code (size=6)

10
8
6
10
8
10
7
10
6
7
9
6
7
6
4
6
8
9
8
6
6
10
8
8
7
4
9
8
10
8
6
7
8
5
10
2
6
7
5
8
7
7
10
7
6
10
6
5
8
8
5
8
10
7
7
7
7
2
4
6
7
9
9
4
9
9
8
7
9
7
6
7
2
3
4
5
2
6
8
5
4
10
10
10
9
5
5
7
10
9
8
8
8
8
8
7
6
8
2
5
4
9
10
6
4
10
6
7
7
8
6
5
6
7
6
9
9
7
6
7
7
8
7
8
7
4
10
8
8
2
6
4
4
9
2
6
7
4
10
3
7
4
8
4
5
6
5
9
6
8
4
4
8
4
10
8
5
3
7
6
5
5
9
2
7
7
5
9
4
5
9
7
6
8
7
6
8
6
7

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')