R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(10
+ ,10
+ ,10
+ ,10
+ ,10
+ ,9.94
+ ,10.06
+ ,10.06
+ ,10.06
+ ,10.06
+ ,10.06
+ ,10.06
+ ,10.06
+ ,10.06
+ ,10.06
+ ,10.06
+ ,10.06
+ ,10.06
+ ,10.06
+ ,10.06
+ ,9.94
+ ,9.94
+ ,9.94
+ ,9.94
+ ,9.94
+ ,9.94
+ ,10.06
+ ,10.06
+ ,9.94
+ ,10.06
+ ,10.06
+ ,10.06
+ ,10.18
+ ,10.28
+ ,10.28
+ ,10.18
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.18
+ ,10.28
+ ,10.28
+ ,10.18
+ ,10.18
+ ,10.18
+ ,10.28
+ ,10.28
+ ,10.18
+ ,10.18
+ ,10.18
+ ,10.18
+ ,10.18
+ ,10.18
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.18
+ ,10.18
+ ,10.18
+ ,10.28
+ ,10.18
+ ,10.18
+ ,10.28
+ ,10.18
+ ,10.18
+ ,10.18
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.18
+ ,10.18
+ ,10.18
+ ,10.18
+ ,10.18
+ ,10.18
+ ,10.18
+ ,10.18
+ ,10.18
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.18
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.18
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.18
+ ,10.18
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.18
+ ,10.28
+ ,10.28
+ ,10.28
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.34
+ ,10.34
+ ,10.34
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.34
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.34
+ ,10.34
+ ,10.34
+ ,10.34
+ ,10.42
+ ,10.42
+ ,10.34
+ ,10.34
+ ,10.34
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.34
+ ,10.34
+ ,10.34
+ ,10.34
+ ,10.34
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.34
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.34
+ ,10.34
+ ,10.34
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.42
+ ,10.34
+ ,10.34
+ ,10.42
+ ,10.42
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.49
+ ,10.49
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.49
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.49
+ ,10.49
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.49
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.49
+ ,10.49
+ ,10.49
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.49
+ ,10.55
+ ,10.55
+ ,10.55
+ ,10.63
+ ,10.63
+ ,10.63
+ ,10.63
+ ,10.63
+ ,10.57
+ ,10.63
+ ,10.63
+ ,10.63
+ ,10.63
+ ,10.57
+ ,10.57
+ ,10.57
+ ,10.63
+ ,10.63
+ ,10.63
+ ,10.63
+ ,10.57
+ ,10.63
+ ,10.63
+ ,10.57
+ ,10.63
+ ,10.63
+ ,10.63
+ ,10.63
+ ,10.57
+ ,10.63
+ ,10.6
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.6
+ ,10.6
+ ,10.6
+ ,10.6
+ ,10.7
+ ,10.7
+ ,10.6
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.8
+ ,10.8
+ ,10.8
+ ,10.8
+ ,10.7
+ ,10.7
+ ,10.7
+ ,10.85
+ ,10.75
+ ,10.75
+ ,10.75
+ ,10.75
+ ,10.75
+ ,10.75
+ ,10.75
+ ,10.75
+ ,10.75
+ ,10.75
+ ,10.75
+ ,10.85
+ ,10.85
+ ,10.85
+ ,10.85
+ ,10.85
+ ,10.85
+ ,10.85
+ ,10.85
+ ,10.85
+ ,10.85
+ ,10.75
+ ,10.75
+ ,10.85
+ ,10.85
+ ,10.85
+ ,10.85
+ ,10.75
+ ,10.75
+ ,10.75
+ ,10.75
+ ,10.75)
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '1'
> par1 = '12'
> ylab = ''
> xlab = ''
> main = ''
> par1 <- 30
> (n <- length(x))
[1] 350
> (np <- floor(n / par1))
[1] 11
> arr <- array(NA,dim=c(par1,np))
> j <- 0
> k <- 1
> for (i in 1:(np*par1))
+ {
+ j = j + 1
+ arr[j,k] <- x[i]
+ if (j == par1) {
+ j = 0
+ k=k+1
+ }
+ }
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]  [,7]  [,8]  [,9] [,10] [,11]
 [1,] 10.00 10.06 10.18 10.28 10.42 10.42 10.34 10.55 10.55 10.63 10.70
 [2,] 10.00 10.06 10.18 10.28 10.34 10.42 10.34 10.49 10.49 10.57 10.70
 [3,] 10.00 10.18 10.28 10.28 10.34 10.34 10.34 10.49 10.49 10.63 10.70
 [4,] 10.00 10.28 10.18 10.28 10.34 10.34 10.42 10.55 10.49 10.63 10.70
 [5,] 10.00 10.28 10.18 10.18 10.42 10.34 10.42 10.55 10.55 10.63 10.70
 [6,]  9.94 10.18 10.18 10.28 10.42 10.42 10.42 10.55 10.55 10.63 10.70
 [7,] 10.06 10.28 10.28 10.28 10.42 10.42 10.42 10.55 10.55 10.57 10.70
 [8,] 10.06 10.28 10.28 10.28 10.42 10.42 10.42 10.55 10.49 10.63 10.70
 [9,] 10.06 10.28 10.28 10.18 10.34 10.34 10.42 10.55 10.55 10.60 10.70
[10,] 10.06 10.18 10.28 10.18 10.42 10.34 10.42 10.49 10.55 10.70 10.70
[11,] 10.06 10.28 10.28 10.28 10.42 10.34 10.42 10.55 10.55 10.70 10.80
[12,] 10.06 10.28 10.28 10.28 10.42 10.34 10.42 10.55 10.63 10.70 10.80
[13,] 10.06 10.18 10.18 10.28 10.42 10.34 10.42 10.55 10.63 10.70 10.80
[14,] 10.06 10.18 10.18 10.28 10.42 10.42 10.42 10.55 10.63 10.70 10.80
[15,] 10.06 10.18 10.18 10.28 10.42 10.42 10.42 10.55 10.63 10.70 10.70
[16,] 10.06 10.28 10.18 10.28 10.42 10.42 10.42 10.55 10.63 10.70 10.70
[17,] 10.06 10.28 10.18 10.28 10.42 10.34 10.42 10.49 10.57 10.70 10.70
[18,] 10.06 10.18 10.18 10.18 10.42 10.42 10.34 10.49 10.63 10.70 10.85
[19,] 10.06 10.18 10.18 10.28 10.42 10.42 10.34 10.55 10.63 10.70 10.75
[20,] 10.06 10.18 10.18 10.28 10.42 10.42 10.42 10.55 10.63 10.60 10.75
[21,]  9.94 10.18 10.18 10.28 10.42 10.42 10.42 10.55 10.63 10.60 10.75
[22,]  9.94 10.18 10.28 10.42 10.42 10.42 10.55 10.49 10.57 10.60 10.75
[23,]  9.94 10.18 10.28 10.42 10.42 10.42 10.55 10.55 10.57 10.60 10.75
[24,]  9.94 10.28 10.28 10.42 10.42 10.42 10.55 10.55 10.57 10.70 10.75
[25,]  9.94 10.28 10.28 10.42 10.42 10.42 10.55 10.55 10.63 10.70 10.75
[26,]  9.94 10.28 10.28 10.42 10.42 10.42 10.55 10.55 10.63 10.60 10.75
[27,] 10.06 10.18 10.28 10.42 10.34 10.42 10.55 10.55 10.63 10.70 10.75
[28,] 10.06 10.18 10.28 10.42 10.34 10.42 10.55 10.55 10.63 10.70 10.75
[29,]  9.94 10.18 10.28 10.42 10.34 10.42 10.55 10.55 10.57 10.70 10.75
[30,] 10.06 10.28 10.18 10.42 10.34 10.42 10.55 10.55 10.63 10.70 10.85
> arr.mean <- array(NA,dim=np)
> arr.sd <- array(NA,dim=np)
> arr.range <- array(NA,dim=np)
> for (j in 1:np)
+ {
+ arr.mean[j] <- mean(arr[,j],na.rm=TRUE)
+ arr.sd[j] <- sd(arr[,j],na.rm=TRUE)
+ arr.range[j] <- max(arr[,j],na.rm=TRUE) - min(arr[,j],na.rm=TRUE)
+ }
> arr.mean
 [1] 10.01800 10.21533 10.23000 10.30867 10.39867 10.39600 10.44567 10.53800
 [9] 10.58267 10.65733 10.74167
> arr.sd
 [1] 0.05261441 0.06468669 0.05085476 0.08131392 0.03598212 0.03728733
 [7] 0.07527803 0.02441029 0.05051004 0.04863186 0.04564355
> arr.range
 [1] 0.12 0.22 0.10 0.24 0.08 0.08 0.21 0.06 0.14 0.13 0.15
> (lm1 <- lm(arr.sd~arr.mean))

Call:
lm(formula = arr.sd ~ arr.mean)

Coefficients:
(Intercept)     arr.mean  
    0.30379     -0.02422  

> (lnlm1 <- lm(log(arr.sd)~log(arr.mean)))

Call:
lm(formula = log(arr.sd) ~ log(arr.mean))

Coefficients:
  (Intercept)  log(arr.mean)  
        9.159         -5.197  

> (lm2 <- lm(arr.range~arr.mean))

Call:
lm(formula = arr.range ~ arr.mean)

Coefficients:
(Intercept)     arr.mean  
    0.50733     -0.03537  

> postscript(file="/var/www/rcomp/tmp/1ymyn1293527764.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.mean,arr.sd,main='Standard Deviation-Mean Plot',xlab='mean',ylab='standard deviation')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/2ymyn1293527764.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.mean,arr.range,main='Range-Mean Plot',xlab='mean',ylab='range')
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Standard Deviation-Mean Plot',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Section',header=TRUE)
> a<-table.element(a,'Mean',header=TRUE)
> a<-table.element(a,'Standard Deviation',header=TRUE)
> a<-table.element(a,'Range',header=TRUE)
> a<-table.row.end(a)
> for (j in 1:np) {
+ a<-table.row.start(a)
+ a<-table.element(a,j,header=TRUE)
+ a<-table.element(a,arr.mean[j])
+ a<-table.element(a,arr.sd[j] )
+ a<-table.element(a,arr.range[j] )
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/3jnet1293527764.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: S.E.(k) = alpha + beta * Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lm1$coefficients[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'beta',header=TRUE)
> a<-table.element(a,lm1$coefficients[[2]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,summary(lm1)$coefficients[2,2])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'T-STAT',header=TRUE)
> a<-table.element(a,summary(lm1)$coefficients[2,3])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'p-value',header=TRUE)
> a<-table.element(a,summary(lm1)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/45nvh1293527764.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$coefficients[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'beta',header=TRUE)
> a<-table.element(a,lnlm1$coefficients[[2]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,summary(lnlm1)$coefficients[2,2])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'T-STAT',header=TRUE)
> a<-table.element(a,summary(lnlm1)$coefficients[2,3])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'p-value',header=TRUE)
> a<-table.element(a,summary(lnlm1)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Lambda',header=TRUE)
> a<-table.element(a,1-lnlm1$coefficients[[2]])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/51ft81293527764.tab") 
> 
> try(system("convert tmp/1ymyn1293527764.ps tmp/1ymyn1293527764.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ymyn1293527764.ps tmp/2ymyn1293527764.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
   0.64    0.21    0.84