R version 2.6.2 (2008-02-08)
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ISBN 3-900051-07-0

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> x <- c(105.18,105.18,105.18,105.18,105.18,105.18,105.18,105.18,105.18,105.18,97.82,97.83,97.82,97.83,97.82,97.82,97.8,97.8,97.44,97.44,97.44,97.44,97.7,97.7,97.7,97.7,97.7,97.7,97.7,97.7,97.7,97.7,97.7,89.38,89.38,89.38,89.38,87.69,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,89.21,92.07,92.07,92.07,92.07,92.07,92.07,92.07,92.07,92.07,92.07,94,94,94,94,94,94,94,94,94,94,94,94,94,94,94,94)
> 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] 96
> (np <- floor(n / par1))
[1] 24
> 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,] 105.18 105.18 105.18 97.82 97.80 97.44 97.7 97.7 97.70 89.38 89.21 89.21
[2,] 105.18 105.18 105.18 97.83 97.80 97.44 97.7 97.7 89.38 87.69 89.21 89.21
[3,] 105.18 105.18  97.82 97.82 97.44 97.70 97.7 97.7 89.38 89.21 89.21 89.21
[4,] 105.18 105.18  97.83 97.82 97.44 97.70 97.7 97.7 89.38 89.21 89.21 89.21
     [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24]
[1,] 89.21 89.21 89.21 89.21 89.21 89.21 92.07 92.07    94    94    94    94
[2,] 89.21 89.21 89.21 89.21 89.21 89.21 92.07 92.07    94    94    94    94
[3,] 89.21 89.21 89.21 89.21 89.21 92.07 92.07 92.07    94    94    94    94
[4,] 89.21 89.21 89.21 89.21 89.21 92.07 92.07 92.07    94    94    94    94
> 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] 105.1800 105.1800 101.5025  97.8225  97.6200  97.5700  97.7000  97.7000
 [9]  91.4600  88.8725  89.2100  89.2100  89.2100  89.2100  89.2100  89.2100
[17]  89.2100  90.6400  92.0700  92.0700  94.0000  94.0000  94.0000  94.0000
> arr.sd
 [1] 0.0000000 0.0000000 4.2464132 0.0050000 0.2078461 0.1501111 0.0000000
 [8] 0.0000000 4.1600000 0.7923962 0.0000000 0.0000000 0.0000000 0.0000000
[15] 0.0000000 0.0000000 0.0000000 1.6512218 0.0000000 0.0000000 0.0000000
[22] 0.0000000 0.0000000 0.0000000
> arr.range
 [1] 0.00 0.00 7.36 0.01 0.36 0.26 0.00 0.00 8.32 1.69 0.00 0.00 0.00 0.00 0.00
[16] 0.00 0.00 2.86 0.00 0.00 0.00 0.00 0.00 0.00
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -1.62611      0.02227  

> (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