R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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> x <- c(2.08,2.09,2.36,2.99,2.75,1.58,1.69,1.3,1.97,1.84,1.96,1.86,2.75,2.62,2.41,3.61,2.03,1.45,1.4,1.3,1.58,2.1,2.27,2.54,2.55,2.05,2.32,2.6,2.1,1.61,1.55,1.12,1.39,2.18,1.94,2.27,2.41,2.2,2.58,2.9,2.12,1.34,1.07,0.86,1,1.54,1.29,1.44,2.6,2.77,3.31,3.2,2.07,1.42,1.43,1.28,1.59,1.68,2.01,2.52,2.74,3.06,2.69,2.32,1.67,1.04,0.98,0.86,0.97,1.3,1.82,1.99,2.7,2.86,2.91,2.56,2.05,1.62,1.26,1.44,1.27,1.64,1.84,2.1,2.79,2.84,2.76,2.67,2.1,1.55,1.42,1.12,1.12,1.41,1.56,1.8)
> 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,] 2.08 2.75 2.55 2.41 2.60 2.74 2.70 2.79
 [2,] 2.09 2.62 2.05 2.20 2.77 3.06 2.86 2.84
 [3,] 2.36 2.41 2.32 2.58 3.31 2.69 2.91 2.76
 [4,] 2.99 3.61 2.60 2.90 3.20 2.32 2.56 2.67
 [5,] 2.75 2.03 2.10 2.12 2.07 1.67 2.05 2.10
 [6,] 1.58 1.45 1.61 1.34 1.42 1.04 1.62 1.55
 [7,] 1.69 1.40 1.55 1.07 1.43 0.98 1.26 1.42
 [8,] 1.30 1.30 1.12 0.86 1.28 0.86 1.44 1.12
 [9,] 1.97 1.58 1.39 1.00 1.59 0.97 1.27 1.12
[10,] 1.84 2.10 2.18 1.54 1.68 1.30 1.64 1.41
[11,] 1.96 2.27 1.94 1.29 2.01 1.82 1.84 1.56
[12,] 1.86 2.54 2.27 1.44 2.52 1.99 2.10 1.80
> 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] 2.039167 2.171667 1.973333 1.729167 2.156667 1.786667 2.020833 1.928333
> arr.sd
[1] 0.4746761 0.6780833 0.4650383 0.6821151 0.7096777 0.7779616 0.6084475
[8] 0.6724424
> arr.range
[1] 1.69 2.31 1.48 2.04 2.03 2.20 1.65 1.72
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
     0.9639      -0.1672  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
     -0.09847       -0.54968  

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

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

Coefficients:
(Intercept)     arr.mean  
    1.91741     -0.01387  

> postscript(file="/var/wessaorg/rcomp/tmp/1xt151426097920.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/21o711426097920.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/34g2m1426097920.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4qlfe1426097920.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5w9sp1426097920.tab") 
> 
> try(system("convert tmp/1xt151426097920.ps tmp/1xt151426097920.png",intern=TRUE))
character(0)
> try(system("convert tmp/21o711426097920.ps tmp/21o711426097920.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.912   0.168   1.061