R version 2.6.2 (2008-02-08)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(3.42,3.42,3.43,3.47,3.51,3.52,3.52,3.52,3.52,3.52,3.52,3.52,3.52,3.52,3.58,3.6,3.61,3.61,3.61,3.63,3.68,3.69,3.69,3.69,3.69,3.69,3.69,3.69,3.69,3.78,3.79,3.79,3.8,3.8,3.8,3.8,3.81,3.95,3.99,4,4.06,4.16,4.19,4.2,4.2,4.2,4.2,4.2,4.23,4.38,4.43,4.44,4.44,4.44,4.44,4.44,4.45,4.45,4.45,4.45,4.45,4.45,4.45,4.45,4.46,4.46,4.46,4.48,4.58,4.67,4.68,4.68)
> par1 = '4'
> #'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] 72
> (np <- floor(n / par1))
[1] 18
> 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] [,10] [,11] [,12] [,13] [,14]
[1,] 3.42 3.51 3.52 3.52 3.61 3.68 3.69 3.69  3.8  3.81  4.06   4.2  4.23  4.44
[2,] 3.42 3.52 3.52 3.52 3.61 3.69 3.69 3.78  3.8  3.95  4.16   4.2  4.38  4.44
[3,] 3.43 3.52 3.52 3.58 3.61 3.69 3.69 3.79  3.8  3.99  4.19   4.2  4.43  4.44
[4,] 3.47 3.52 3.52 3.60 3.63 3.69 3.69 3.79  3.8  4.00  4.20   4.2  4.44  4.44
     [,15] [,16] [,17] [,18]
[1,]  4.45  4.45  4.46  4.58
[2,]  4.45  4.45  4.46  4.67
[3,]  4.45  4.45  4.46  4.68
[4,]  4.45  4.45  4.48  4.68
> 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] 3.4350 3.5175 3.5200 3.5550 3.6150 3.6875 3.6900 3.7625 3.8000 3.9375
[11] 4.1525 4.2000 4.3700 4.4400 4.4500 4.4500 4.4650 4.6525
> arr.sd
 [1] 0.02380476 0.00500000 0.00000000 0.04123106 0.01000000 0.00500000
 [7] 0.00000000 0.04856267 0.00000000 0.08770215 0.06396614 0.00000000
[13] 0.09695360 0.00000000 0.00000000 0.00000000 0.01000000 0.04856267
> arr.range
 [1] 0.05 0.01 0.00 0.08 0.02 0.01 0.00 0.10 0.00 0.19 0.14 0.00 0.21 0.00 0.00
[16] 0.00 0.02 0.10
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -0.02104      0.01143  

> (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