R version 3.1.0 (2014-04-10) -- "Spring Dance"
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> x <- c(85,82,92.4,100.3,105.2,104.5,105.1,105,106.5,106,99.4,107.4,89.6,85.3,96.3,107.7,112.7,110.1,110.4,111.6,113.3,109,106.5,113,95.6,93.8,106.4,116.6,119.1,120.9,117.3,117.6,115.3,112.3,107.7,113.4,94.3,97.8,106.6,113,122.4,114.6,115,118.7,110.4,111.6,105.1,107.5,92.9,91,100.2,112.2,116.5,111.2,113.3,112.2,102.2,105.3,96,101.3,86.2,84.4,93.4,104.8,106.2,101.9,105.5,106.4,103.9,108.6,96.4,102.2,90.3,88.5,100.2,111.6,111.5,112.9,110.7,105.5,110.7,108.9,101.3,109.6,94.4,91.4,105.8,112.9,116.1,113.7,112.9,110.7,114.3,109.7,105.7,114)
> 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,]  85.0  89.6  95.6  94.3  92.9  86.2  90.3  94.4
 [2,]  82.0  85.3  93.8  97.8  91.0  84.4  88.5  91.4
 [3,]  92.4  96.3 106.4 106.6 100.2  93.4 100.2 105.8
 [4,] 100.3 107.7 116.6 113.0 112.2 104.8 111.6 112.9
 [5,] 105.2 112.7 119.1 122.4 116.5 106.2 111.5 116.1
 [6,] 104.5 110.1 120.9 114.6 111.2 101.9 112.9 113.7
 [7,] 105.1 110.4 117.3 115.0 113.3 105.5 110.7 112.9
 [8,] 105.0 111.6 117.6 118.7 112.2 106.4 105.5 110.7
 [9,] 106.5 113.3 115.3 110.4 102.2 103.9 110.7 114.3
[10,] 106.0 109.0 112.3 111.6 105.3 108.6 108.9 109.7
[11,]  99.4 106.5 107.7 105.1  96.0  96.4 101.3 105.7
[12,] 107.4 113.0 113.4 107.5 101.3 102.2 109.6 114.0
> 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]  99.90000 105.45833 111.33333 109.75000 104.52500  99.99167 105.14167
[8] 108.46667
> arr.sd
[1] 8.730303 9.605250 8.882499 8.111328 8.573864 8.093932 8.391821 7.977392
> arr.range
[1] 25.4 28.0 27.1 28.1 25.5 24.2 24.4 24.7
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   8.656133    -0.001045  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      2.20913       -0.01403  

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

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

Coefficients:
(Intercept)     arr.mean  
     3.9115       0.2085  

> postscript(file="/var/wessaorg/rcomp/tmp/16d1b1400155137.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/2czow1400155137.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/3ao4o1400155137.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/49opx1400155137.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5hwl31400155137.tab") 
> 
> try(system("convert tmp/16d1b1400155137.ps tmp/16d1b1400155137.png",intern=TRUE))
character(0)
> try(system("convert tmp/2czow1400155137.ps tmp/2czow1400155137.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.149   0.232   1.386