x <- c(21,15,18,11,8,19,4,20,16,14,10,13,14,8,23,11,9,24,5,15,5,19,6,13,11,17,17,5,9,15,17,17,20,12,7,16,7,14,24,15,15,10,14,18,12,9,9,8,18,10,17,14,16,10,19,10,14,10,4,19,9,12,16,11,18,11,24,17,18,9,19,18,12,23,22,14,14,16,23,7,10,12,12,12,17,21,16,11,14,13,9,19,13,19,13,13,13,14,12,22,11,5,18,19,14,15,12,19,15,17,8,10,12,12,20,12,12,14,6,10,18,18,7,18,9,17,22,11,15,17,15,22,9,13,20,14,14,12,20,20,8,17,9,18,22,10,13,15,18,18,12,12,20,12,16,16,18,16,13,17,13,17)
par2 = '0'
par1 = '8'
ylab = 'density'
xlab = 'value of data series'
main = 'Histogram and Fitted Normal Density'
library(MASS)
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
postscript(file="/var/wessaorg/rcomp/tmp/13yur1318595799.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
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()

#Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
load(file="/var/wessaorg/rcomp/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="/var/wessaorg/rcomp/tmp/2hjc91318595799.tab") 

try(system("convert tmp/13yur1318595799.ps tmp/13yur1318595799.png",intern=TRUE))