R version 2.6.1 (2007-11-26)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(104.3,103.9,103.9,103.9,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.0,108.2,112.3,111.3,111.3,115.3,117.2,118.3,118.3,118.3,119.0,120.6,122.6,122.6,127.4,125.9,121.5,118.8,121.6,122.3,122.7,120.8,120.1,120.1,120.1,120.1,128.4,129.8,129.8,128.6,128.6,133.7,130.0,125.9,129.4,129.4,130.6,130.6,130.6,130.8,129.7,125.8,126.0,125.6,125.4,124.7,126.9,129.1)
> par1 = '12'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 74
> (np <- floor(n / par1))
[1] 6
> 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]
 [1,] 104.3  108 108.0 119.0 120.1 129.4
 [2,] 103.9  108 108.0 120.6 120.1 129.4
 [3,] 103.9  108 108.0 122.6 120.1 130.6
 [4,] 103.9  108 108.2 122.6 120.1 130.6
 [5,] 108.0  108 112.3 127.4 128.4 130.6
 [6,] 108.0  108 111.3 125.9 129.8 130.8
 [7,] 108.0  108 111.3 121.5 129.8 129.7
 [8,] 108.0  108 115.3 118.8 128.6 125.8
 [9,] 108.0  108 117.2 121.6 128.6 126.0
[10,] 108.0  108 118.3 122.3 133.7 125.6
[11,] 108.0  108 118.3 122.7 130.0 125.4
[12,] 108.0  108 118.3 120.8 125.9 124.7
> 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] 106.6667 108.0000 112.8750 122.1500 126.2667 128.2167
> arr.sd
[1] 1.972231 0.000000 4.383051 2.494539 4.878959 2.460906
> arr.range
[1]  3.7  4.1 14.4 23.5 25.7 22.8
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -8.27148      0.09347  

> (lnlm1 <- lm(log(arr.sd)~log(arr.mean)))
Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) : 
  NA/NaN/Inf in foreign function call (arg 4)
Calls: lm -> lm.fit -> .Fortran
Execution halted