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(1,4,-3,-3,0,6,-1,0,-1,1,-4,-1,-1,0,3,0,8,8,8,8,11,13,5,12,13,9,11,7,12,11,10,13,14,10,13,12,13,17,15,6,9,6,11,12,13,11,16,16,19,14,15,12,14,16,13,13,15,12,13,12,15,10,8,11,8,13,9,8,8,6,8,6,12,16)
> 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] 74
> (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,]    1    0   -1   -1    8   11   13   12   14    13     9    13    19    14
[2,]    4    6    1    0    8   13    9   11   10    17     6    11    14    16
[3,]   -3   -1   -4    3    8    5   11   10   13    15    11    16    15    13
[4,]   -3    0   -1    0    8   12    7   13   12     6    12    16    12    13
     [,15] [,16] [,17] [,18]
[1,]    15    15     8     8
[2,]    12    10    13     6
[3,]    13     8     9     8
[4,]    12    11     8     6
> 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] -0.25  1.25 -1.25  0.50  8.00 10.25 10.00 11.50 12.25 12.75  9.50 14.00
[13] 15.00 14.00 13.00 11.00  9.50  7.00
> arr.sd
 [1] 3.403430 3.201562 2.061553 1.732051 0.000000 3.593976 2.581989 1.290994
 [9] 1.707825 4.787136 2.645751 2.449490 2.943920 1.414214 1.414214 2.943920
[17] 2.380476 1.154701
> arr.range
 [1]  7  7  5  4  0  8  6  3  4 11  6  5  7  3  3  7  5  2
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
  2.3235390   -0.0007373  

> (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
In addition: Warning message:
In log(arr.mean) : NaNs produced
Execution halted