R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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> x <- c(96.86,96.77,96.5,96.01,96.07,95.93,95.93,95.83,96.24,96.25,96.59,96.62,96.62,96.81,96.71,96.45,96.63,96.56,96.56,96.65,97.04,97.14,97.2,97.26,97.26,97.24,97.35,97.36,97.28,97.31,97.31,97.31,97.23,97.78,97.64,97.68,97.68,97.81,97.75,97.63,97.6,97.65,97.65,97.65,97.86,98.41,98.79,98.75,98.74,98.55,98.65,98.86,98.94,99.05,99.05,99.05,99.17,98.99,98.91,98.89,98.89,98.72,98.89,98.97,99.16,99.54,99.54,99.55,100.01,99.52,99.44,99.39,99.39,99.4,100.43,100.62,101.05,100.95,100.95,100.91,101.13,100.81,100.47,100.56)
> 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,] 96.86 96.62 97.26 97.68 98.74  98.89  99.39
 [2,] 96.77 96.81 97.24 97.81 98.55  98.72  99.40
 [3,] 96.50 96.71 97.35 97.75 98.65  98.89 100.43
 [4,] 96.01 96.45 97.36 97.63 98.86  98.97 100.62
 [5,] 96.07 96.63 97.28 97.60 98.94  99.16 101.05
 [6,] 95.93 96.56 97.31 97.65 99.05  99.54 100.95
 [7,] 95.93 96.56 97.31 97.65 99.05  99.54 100.95
 [8,] 95.83 96.65 97.31 97.65 99.05  99.55 100.91
 [9,] 96.24 97.04 97.23 97.86 99.17 100.01 101.13
[10,] 96.25 97.14 97.78 98.41 98.99  99.52 100.81
[11,] 96.59 97.20 97.64 98.79 98.91  99.44 100.47
[12,] 96.62 97.26 97.68 98.75 98.89  99.39 100.56
> 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]  96.30000  96.80250  97.39583  97.93583  98.90417  99.30167 100.55583
> arr.sd
[1] 0.3566001 0.2819454 0.1899980 0.4462258 0.1814817 0.3764628 0.5875289
> arr.range
[1] 1.03 0.81 0.55 1.19 0.62 1.29 1.74
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    -4.4058       0.0484  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       -51.17          10.91  

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

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

Coefficients:
(Intercept)     arr.mean  
   -15.8123       0.1716  

> postscript(file="/var/wessaorg/rcomp/tmp/1njin1386063769.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/24bk11386063769.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/3q6m41386063769.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4s9go1386063769.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5k39p1386063770.tab") 
> 
> try(system("convert tmp/1njin1386063769.ps tmp/1njin1386063769.png",intern=TRUE))
character(0)
> try(system("convert tmp/24bk11386063769.ps tmp/24bk11386063769.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.836   0.358   2.168