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(104.7,104.7,104.7,104.7,106,107,107,107,107,107,107,107,107,107,107,107,107.6,109.9,109.9,109.9,109.9,109.9,109.9,109.9,109.9,109.9,109.9,109.9,110.6,114.3,114.3,114.3,114.3,114.3,114.3,114.3,114.3,114.3,114.3,114.3,114.3,119.01,119.01,119.01,119.01,119.01,119.01,119.01,119.01,119.01,119.01,119.01,121.27,123.54,123.54,123.54,123.54,123.54,123.54,123.54,123.54,123.54,123.54,123.54,123.54,125.24,125.24,125.24,125.24,125.24,125.24,125.24,125.24,125.24,125.24,125.24,125.24,128.35,128.35,128.35,128.35,128.35,128.35,128.35)
> 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] 84
> (np <- floor(n / par1))
[1] 21
> 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]
[1,] 104.7  106  107  107 107.6 109.9 109.9 110.6 114.3 114.3 114.30 119.01
[2,] 104.7  107  107  107 109.9 109.9 109.9 114.3 114.3 114.3 119.01 119.01
[3,] 104.7  107  107  107 109.9 109.9 109.9 114.3 114.3 114.3 119.01 119.01
[4,] 104.7  107  107  107 109.9 109.9 109.9 114.3 114.3 114.3 119.01 119.01
      [,13]  [,14]  [,15]  [,16]  [,17]  [,18]  [,19]  [,20]  [,21]
[1,] 119.01 121.27 123.54 123.54 123.54 125.24 125.24 125.24 128.35
[2,] 119.01 123.54 123.54 123.54 125.24 125.24 125.24 128.35 128.35
[3,] 119.01 123.54 123.54 123.54 125.24 125.24 125.24 128.35 128.35
[4,] 119.01 123.54 123.54 123.54 125.24 125.24 125.24 128.35 128.35
> 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] 104.7000 106.7500 107.0000 107.0000 109.3250 109.9000 109.9000 113.3750
 [9] 114.3000 114.3000 117.8325 119.0100 119.0100 122.9725 123.5400 123.5400
[17] 124.8150 125.2400 125.2400 127.5725 128.3500
> arr.sd
 [1] 0.000 0.500 0.000 0.000 1.150 0.000 0.000 1.850 0.000 0.000 2.355 0.000
[13] 0.000 1.135 0.000 0.000 0.850 0.000 0.000 1.555 0.000
> arr.range
 [1] 0.00 1.00 0.00 0.00 2.30 0.00 0.00 3.70 0.00 0.00 4.71 0.00 0.00 2.27 0.00
[16] 0.00 1.70 0.00 0.00 3.11 0.00
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -0.77374      0.01045  

> (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