R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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> x <- c(1.8,1.8,1.81,1.81,1.81,1.81,1.81,1.81,1.82,1.82,1.81,1.8,1.8,1.81,1.81,1.81,1.81,1.81,1.81,1.82,1.82,1.82,1.83,1.83,1.83,1.84,1.85,1.86,1.86,1.87,1.87,1.86,1.88,1.89,1.91,1.91,1.91,1.91,1.92,1.93,1.93,1.94,1.94,1.95,1.95,1.96,1.97,1.97,1.97,1.97,1.98,1.98,1.99,1.99,1.99,2,2,2.01,2.01,2.02,2.01,2.01,2.03,2.03,2.04,2.05,2.05,2.06,2.06,2.06,2.04,2.04,2.04,2.03,2.03,2.03,2.03,2.03,2.03,2.03,2.03,2.03,2.02,2.03,2.03,2.02,2.03,2.04,2.05,2.05,2.05,2.05,2.07,2.07,2.08,2.08)
> 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,] 1.80 1.80 1.83 1.91 1.97 2.01 2.04 2.03
 [2,] 1.80 1.81 1.84 1.91 1.97 2.01 2.03 2.02
 [3,] 1.81 1.81 1.85 1.92 1.98 2.03 2.03 2.03
 [4,] 1.81 1.81 1.86 1.93 1.98 2.03 2.03 2.04
 [5,] 1.81 1.81 1.86 1.93 1.99 2.04 2.03 2.05
 [6,] 1.81 1.81 1.87 1.94 1.99 2.05 2.03 2.05
 [7,] 1.81 1.81 1.87 1.94 1.99 2.05 2.03 2.05
 [8,] 1.81 1.82 1.86 1.95 2.00 2.06 2.03 2.05
 [9,] 1.82 1.82 1.88 1.95 2.00 2.06 2.03 2.07
[10,] 1.82 1.82 1.89 1.96 2.01 2.06 2.03 2.07
[11,] 1.81 1.83 1.91 1.97 2.01 2.04 2.02 2.08
[12,] 1.80 1.83 1.91 1.97 2.02 2.04 2.03 2.08
> 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] 1.809167 1.815000 1.869167 1.940000 1.992500 2.040000 2.030000 2.051667
> arr.sd
[1] 0.006685579 0.009045340 0.025030285 0.020889319 0.016025548 0.017580981
[7] 0.004264014 0.019924098
> arr.range
[1] 0.02 0.03 0.08 0.06 0.05 0.05 0.02 0.06
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -0.01297      0.01436  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       -5.753          2.111  

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

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

Coefficients:
(Intercept)     arr.mean  
   -0.03094      0.03972  

> postscript(file="/var/wessaorg/rcomp/tmp/1lk641416760430.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/2ffuw1416760430.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/3128a1416760430.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4t05b1416760430.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5mlnw1416760430.tab") 
> 
> try(system("convert tmp/1lk641416760430.ps tmp/1lk641416760430.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ffuw1416760430.ps tmp/2ffuw1416760430.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.912   0.179   1.091