R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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> x <- c(8.41,8.39,8.43,8.44,8.49,8.47,8.53,8.52,8.51,8.53,8.54,8.53,8.47,8.63,8.67,8.73,8.57,8.55,8.63,8.65,8.44,8.62,8.37,8.59,8.84,8.72,8.8,8.69,8.68,8.57,8.85,8.85,8.85,8.93,8.75,8.78,8.77,9.03,9.01,9.07,8.99,9.02,8.99,8.98,8.94,8.94,8.75,8.86,8.87,8.84,8.84,9.91,10.18,10.34,10.36,10.26,10.16,10.31,10.46,10.54,10.47,10.48,10.46,11.3,11.58,11.69,11.63,11.51,11.37,11.42,11.7,11.75,11.43,11.36,11.3,11.85,11.99,12.07,12.21,12.13,12.3,12.27,12.32,12.38,12.4,12.33,12.25,12.41,12.38,12.58,12.45,12.43,12.38,12.34,11.98,12.24)
> par1 = '12'
> par1 <- '12'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P. (2012), Standard Deviation-Mean Plot (v1.0.6) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_smp.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 96
> (np <- floor(n / par1))
[1] 8
> 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]
 [1,] 8.41 8.47 8.84 8.77  8.87 10.47 11.43 12.40
 [2,] 8.39 8.63 8.72 9.03  8.84 10.48 11.36 12.33
 [3,] 8.43 8.67 8.80 9.01  8.84 10.46 11.30 12.25
 [4,] 8.44 8.73 8.69 9.07  9.91 11.30 11.85 12.41
 [5,] 8.49 8.57 8.68 8.99 10.18 11.58 11.99 12.38
 [6,] 8.47 8.55 8.57 9.02 10.34 11.69 12.07 12.58
 [7,] 8.53 8.63 8.85 8.99 10.36 11.63 12.21 12.45
 [8,] 8.52 8.65 8.85 8.98 10.26 11.51 12.13 12.43
 [9,] 8.51 8.44 8.85 8.94 10.16 11.37 12.30 12.38
[10,] 8.53 8.62 8.93 8.94 10.31 11.42 12.27 12.34
[11,] 8.54 8.37 8.75 8.75 10.46 11.70 12.32 11.98
[12,] 8.53 8.59 8.78 8.86 10.54 11.75 12.38 12.24
> 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]  8.482500  8.576667  8.775833  8.945833  9.922500 11.280000 11.967500
[8] 12.347500
> arr.sd
[1] 0.05293650 0.10395220 0.09894519 0.10175356 0.66566611 0.50698754 0.39428013
[8] 0.14666753
> arr.range
[1] 0.15 0.36 0.36 0.32 1.70 1.29 1.08 0.60
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -0.40275      0.06592  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -10.301          3.739  

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

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

Coefficients:
(Intercept)     arr.mean  
    -1.1215       0.1847  

> postscript(file="/var/wessaorg/rcomp/tmp/1alkl1426189848.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/wessaorg/rcomp/tmp/2tlw01426189848.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/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,'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/wessaorg/rcomp/tmp/3tsx91426189848.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4zxjd1426189848.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/wessaorg/rcomp/tmp/5rcqu1426189848.tab") 
> 
> try(system("convert tmp/1alkl1426189848.ps tmp/1alkl1426189848.png",intern=TRUE))
character(0)
> try(system("convert tmp/2tlw01426189848.ps tmp/2tlw01426189848.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.962   0.168   1.116