R version 3.1.0 (2014-04-10) -- "Spring Dance"
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Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(74.74,74.80,74.46,74.03,74.45,74.74,74.74,74.78,74.25,74.14,74.41,74.51,74.51,74.64,74.52,74.51,74.39,74.11,74.11,74.20,73.84,73.89,74.31,73.56,73.56,73.99,73.63,73.51,73.60,73.03,73.03,72.61,72.30,72.56,72.76,72.92,72.92,72.93,73.13,73.31,73.34,74.31,74.31,74.65,74.78,74.73,74.71,74.63,74.63,74.95,75.17,75.49,74.54,75.59,75.59,76.06,76.06,76.39,76.39,76.93,76.93,77.39,77.65,78.04,77.66,77.31,77.31,77.33,78.01,78.31,78.61,78.94,78.94,79.84,78.76,78.62,78.36,78.53,78.53,78.76,78.76,79.37,79.83,79.89)
> 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,] 74.74 74.51 73.56 72.92 74.63 76.93 78.94
 [2,] 74.80 74.64 73.99 72.93 74.95 77.39 79.84
 [3,] 74.46 74.52 73.63 73.13 75.17 77.65 78.76
 [4,] 74.03 74.51 73.51 73.31 75.49 78.04 78.62
 [5,] 74.45 74.39 73.60 73.34 74.54 77.66 78.36
 [6,] 74.74 74.11 73.03 74.31 75.59 77.31 78.53
 [7,] 74.74 74.11 73.03 74.31 75.59 77.31 78.53
 [8,] 74.78 74.20 72.61 74.65 76.06 77.33 78.76
 [9,] 74.25 73.84 72.30 74.78 76.06 78.01 78.76
[10,] 74.14 73.89 72.56 74.73 76.39 78.31 79.37
[11,] 74.41 74.31 72.76 74.71 76.39 78.61 79.83
[12,] 74.51 73.56 72.92 74.63 76.93 78.94 79.89
> 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] 74.50417 74.21583 73.12500 73.97917 75.64917 77.79083 79.01583
> arr.sd
[1] 0.2639373 0.3282033 0.5243784 0.7764542 0.7444029 0.6018677 0.5634868
> arr.range
[1] 0.77 1.08 1.69 1.86 2.39 2.01 1.53
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -0.74020      0.01701  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       -15.85           3.51  

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

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

Coefficients:
(Intercept)     arr.mean  
   -2.92848      0.06025  

> postscript(file="/var/wessaorg/rcomp/tmp/1gkiz1398622986.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/2y3xb1398622986.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/3cvos1398622986.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4ncyj1398622986.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5rpci1398622986.tab") 
> 
> try(system("convert tmp/1gkiz1398622986.ps tmp/1gkiz1398622986.png",intern=TRUE))
character(0)
> try(system("convert tmp/2y3xb1398622986.ps tmp/2y3xb1398622986.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.845   0.368   2.179