R version 3.2.2 (2015-08-14) -- "Fire Safety"
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> x <- c(79.55,80.08,80.15,80.69,81.56,81.23,81.39,81.61,82.25,82.06,82.82,82.3,83.09,83.21,83.13,84.31,83.62,83.75,84.1,83.71,84.2,85.13,86.16,86.65,87.44,87.62,88.03,89.1,89.68,89.47,90.13,89.49,89.52,89.86,89.77,89.8,90.89,90.82,90.68,90.92,90.82,90.09,89.71,89.34,89.2,89.48,89.72,89.58,90.65,90.93,91.42,91.52,91.76,91.47,91.37,91.35,91.74,91.78,91.88,91.99,92.55,92.94,92.81,93.35,93.72,93.94,94.03,93.66,93.78,94.1,94.85,94.83,95.06,95.87,95.97,95.96,96.3,96.17,96.18,96.55,96.76,97.63,97.86,97.82,98.62,99.24,99.63,100.27,100.84,101.05,100.38,100.02,99.97,99.95,100,100.04,100.51,100.29,100.22,101.29,100.29,100.26,100.39,99.3,98.9,98.76,99.12,99.28)
> 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,] 79.55 83.09 87.44 90.89 90.65 92.55 95.06  98.62 100.51
 [2,] 80.08 83.21 87.62 90.82 90.93 92.94 95.87  99.24 100.29
 [3,] 80.15 83.13 88.03 90.68 91.42 92.81 95.97  99.63 100.22
 [4,] 80.69 84.31 89.10 90.92 91.52 93.35 95.96 100.27 101.29
 [5,] 81.56 83.62 89.68 90.82 91.76 93.72 96.30 100.84 100.29
 [6,] 81.23 83.75 89.47 90.09 91.47 93.94 96.17 101.05 100.26
 [7,] 81.39 84.10 90.13 89.71 91.37 94.03 96.18 100.38 100.39
 [8,] 81.61 83.71 89.49 89.34 91.35 93.66 96.55 100.02  99.30
 [9,] 82.25 84.20 89.52 89.20 91.74 93.78 96.76  99.97  98.90
[10,] 82.06 85.13 89.86 89.48 91.78 94.10 97.63  99.95  98.76
[11,] 82.82 86.16 89.77 89.72 91.88 94.85 97.86 100.00  99.12
[12,] 82.30 86.65 89.80 89.58 91.99 94.83 97.82 100.04  99.28
> 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]  81.30750  84.25500  89.15917  90.10417  91.48833  93.71333  96.51083
[8] 100.00083  99.88417
> arr.sd
[1] 1.0095915 1.1611476 0.9257965 0.6747721 0.3909158 0.7228018 0.8650744
[8] 0.6501532 0.7821818
> arr.range
[1] 3.27 3.56 2.69 1.72 1.34 2.30 2.80 2.43 2.53
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    2.47619     -0.01828  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
        8.343         -1.906  

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

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

Coefficients:
(Intercept)     arr.mean  
    6.40262     -0.04233  

> postscript(file="/var/wessaorg/rcomp/tmp/13mqm1447799571.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/2nfa01447799571.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/39o731447799571.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4wp9w1447799571.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5id8a1447799571.tab") 
> 
> try(system("convert tmp/13mqm1447799571.ps tmp/13mqm1447799571.png",intern=TRUE))
character(0)
> try(system("convert tmp/2nfa01447799571.ps tmp/2nfa01447799571.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.816   0.175   1.000