R version 3.2.2 (2015-08-14) -- "Fire Safety"
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> x <- c(82.75,83.4,84.12,83.88,83.61,83.58,83.58,83.27,83.59,83.64,83.72,83.88,83.61,85.36,87.2,88.28,88.64,88.67,88.34,89.21,89.55,89.65,88.43,91.15,94.11,96.78,97.94,97.57,96.48,96.18,95,93.84,95.54,94.06,93.92,92.55,93.88,92.19,91.42,91.39,89.12,90.27,91.76,95.68,97.54,98.47,100.11,99.9,101.11,98.86,102.71,102.02,100.61,100.62,99.51,98.63,97.44,96.5,94.3,92.92,96.07,95,93.27,91.94,91.62,91.01,90.62,97.72,99.09,99.72,100.22,99.15,101.16,101.8,103.31,101.19,99.09,95.91,94.56,95.76,100.36,102.67,103.58,100.89,103.46,104.86,104.88,104.46,103.83,101,99.36,96.71,95.23,95.62,95.8,94.79,95.39,94.9,94.84,94.68,94.17,94.1,93.84,94.2,97.76,98.26,99.63,98.75)
> 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] 108
> (np <- floor(n / par1))
[1] 9
> 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]
 [1,] 82.75 83.61 94.11  93.88 101.11  96.07 101.16 103.46 95.39
 [2,] 83.40 85.36 96.78  92.19  98.86  95.00 101.80 104.86 94.90
 [3,] 84.12 87.20 97.94  91.42 102.71  93.27 103.31 104.88 94.84
 [4,] 83.88 88.28 97.57  91.39 102.02  91.94 101.19 104.46 94.68
 [5,] 83.61 88.64 96.48  89.12 100.61  91.62  99.09 103.83 94.17
 [6,] 83.58 88.67 96.18  90.27 100.62  91.01  95.91 101.00 94.10
 [7,] 83.58 88.34 95.00  91.76  99.51  90.62  94.56  99.36 93.84
 [8,] 83.27 89.21 93.84  95.68  98.63  97.72  95.76  96.71 94.20
 [9,] 83.59 89.55 95.54  97.54  97.44  99.09 100.36  95.23 97.76
[10,] 83.64 89.65 94.06  98.47  96.50  99.72 102.67  95.62 98.26
[11,] 83.72 88.43 93.92 100.11  94.30 100.22 103.58  95.80 99.63
[12,] 83.88 91.15 92.55  99.90  92.92  99.15 100.89  94.79 98.75
> 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]  83.58500  88.17417  95.33083  94.31083  98.76917  95.45250 100.02333
[8] 100.00000  95.87667
> arr.sd
[1] 0.3454773 2.0060520 1.6832893 3.8826127 3.0161729 3.6736039 3.0591987
[8] 4.1878743 2.0953773
> arr.range
[1]  1.37  7.54  5.39 10.99  9.79  9.60  9.02 10.09  5.79
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -13.2703       0.1684  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       -47.44          10.61  

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

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

Coefficients:
(Intercept)     arr.mean  
   -29.8988       0.3977  

> postscript(file="/var/wessaorg/rcomp/tmp/1vlfw1447843085.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/2p6bo1447843085.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/3ad5d1447843085.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4phsw1447843085.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5fkj11447843085.tab") 
> 
> try(system("convert tmp/1vlfw1447843085.ps tmp/1vlfw1447843085.png",intern=TRUE))
character(0)
> try(system("convert tmp/2p6bo1447843085.ps tmp/2p6bo1447843085.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.792   0.182   0.970