R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.38,1.43,1.43,1.43,1.43,1.43,1.43,1.43,1.43,1.43,1.43,1.43,1.43,1.43,1.43,1.43,1.43,1.43,1.43,1.43,1.44,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.48,1.57,1.58,1.58,1.58,1.58,1.59,1.6,1.6,1.61,1.61,1.61,1.62,1.63,1.63,1.64,1.64,1.64,1.64,1.64,1.65,1.65,1.65,1.65,1.65,1.66,1.66,1.67,1.68,1.68,1.68,1.68,1.69,1.7,1.7,1.71,1.72,1.73,1.74,1.74,1.75,1.75,1.75,1.76,1.79,1.83,1.84,1.85,1.87,1.87,1.87,1.88,1.88,1.88,1.88,1.89,1.89,1.89,1.9,1.89)
> 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] 132
> (np <- floor(n / par1))
[1] 11
> 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]
 [1,] 1.38 1.38 1.43 1.43 1.48 1.48 1.48 1.62 1.65  1.72  1.87
 [2,] 1.38 1.38 1.43 1.43 1.48 1.48 1.57 1.63 1.66  1.73  1.87
 [3,] 1.38 1.38 1.43 1.43 1.48 1.48 1.58 1.63 1.66  1.74  1.87
 [4,] 1.38 1.38 1.43 1.43 1.48 1.48 1.58 1.64 1.67  1.74  1.88
 [5,] 1.38 1.38 1.43 1.43 1.48 1.48 1.58 1.64 1.68  1.75  1.88
 [6,] 1.38 1.38 1.43 1.43 1.48 1.48 1.58 1.64 1.68  1.75  1.88
 [7,] 1.38 1.38 1.43 1.44 1.48 1.48 1.59 1.64 1.68  1.75  1.88
 [8,] 1.38 1.38 1.43 1.48 1.48 1.48 1.60 1.64 1.68  1.76  1.89
 [9,] 1.38 1.38 1.43 1.48 1.48 1.48 1.60 1.65 1.69  1.79  1.89
[10,] 1.38 1.38 1.43 1.48 1.48 1.48 1.61 1.65 1.70  1.83  1.89
[11,] 1.38 1.38 1.43 1.48 1.48 1.48 1.61 1.65 1.70  1.84  1.90
[12,] 1.38 1.43 1.43 1.48 1.48 1.48 1.61 1.65 1.71  1.85  1.89
> 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] 1.380000 1.384167 1.430000 1.451667 1.480000 1.480000 1.582500 1.640000
 [9] 1.680000 1.770833 1.882500
> arr.sd
 [1] 0.000000000 0.014433757 0.000000000 0.025166115 0.000000000 0.000000000
 [7] 0.035194266 0.009534626 0.018090681 0.045218326 0.009653073
> arr.range
 [1] 0.00 0.05 0.00 0.05 0.00 0.00 0.13 0.03 0.06 0.13 0.03
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -0.04869      0.04038  

> (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