R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(106.68,109.73,108.06,111.33,105.66,103.65,100.34,100.56,102.67,101.5,102.35,104.98,106.31,103.73,106.62,108.54,105.12,105.29,104.62,104.34,108.23,107.6,106.87,107.96,108.34,109.04,106.95,105.59,108.08,108.48,106.84,105.6,106.9,106.84,106.81,106.98,107.53,107.37,106.98,108.94,106.38,109.02,106.53,105.02,109.7,108.39,110.18,109.54,109.1,110.85,112.23,110.58,110.77,108.08,108.05,108.87,109.61,111.27,107.61,110.98,106.63,106.83,108.77,106.12,106.8,106.34,105.16,107.97,106.76,108.78,105.58,109.22,105.67,109.04,106.59,109.66,108.05,109.91,107.63,107.15,103.8,103.43,103.59,107.63)
> 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] 84
> (np <- floor(n / par1))
[1] 7
> 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]
 [1,] 106.68 106.31 108.34 107.53 109.10 106.63 105.67
 [2,] 109.73 103.73 109.04 107.37 110.85 106.83 109.04
 [3,] 108.06 106.62 106.95 106.98 112.23 108.77 106.59
 [4,] 111.33 108.54 105.59 108.94 110.58 106.12 109.66
 [5,] 105.66 105.12 108.08 106.38 110.77 106.80 108.05
 [6,] 103.65 105.29 108.48 109.02 108.08 106.34 109.91
 [7,] 100.34 104.62 106.84 106.53 108.05 105.16 107.63
 [8,] 100.56 104.34 105.60 105.02 108.87 107.97 107.15
 [9,] 102.67 108.23 106.90 109.70 109.61 106.76 103.80
[10,] 101.50 107.60 106.84 108.39 111.27 108.78 103.43
[11,] 102.35 106.87 106.81 110.18 107.61 105.58 103.59
[12,] 104.98 107.96 106.98 109.54 110.98 109.22 107.63
> 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] 104.7925 106.2692 107.2042 107.9650 109.8333 107.0800 106.8458
> arr.sd
[1] 3.599245 1.631661 1.081333 1.578241 1.486444 1.313192 2.294042
> arr.range
[1] 10.99  4.81  3.45  5.16  4.62  4.06  6.48
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    41.3257      -0.3684  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
        80.13         -17.03  

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

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

Coefficients:
(Intercept)     arr.mean  
    120.096       -1.068  

> postscript(file="/var/wessaorg/rcomp/tmp/1b8bh1386073998.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/2dy9u1386073999.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/3192v1386073999.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4jub51386073999.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/511jn1386073999.tab") 
> 
> try(system("convert tmp/1b8bh1386073998.ps tmp/1b8bh1386073998.png",intern=TRUE))
character(0)
> try(system("convert tmp/2dy9u1386073999.ps tmp/2dy9u1386073999.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.949   0.399   2.318