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(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)
> 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,] 1.43 1.43 1.43 1.43 1.43 1.48 1.48 1.48 1.48  1.48  1.48  1.48  1.48  1.58
[2,] 1.43 1.43 1.43 1.43 1.43 1.48 1.48 1.48 1.48  1.48  1.48  1.48  1.57  1.58
[3,] 1.43 1.43 1.43 1.43 1.44 1.48 1.48 1.48 1.48  1.48  1.48  1.48  1.58  1.59
[4,] 1.43 1.43 1.43 1.43 1.48 1.48 1.48 1.48 1.48  1.48  1.48  1.48  1.58  1.60
     [,15] [,16] [,17] [,18]
[1,]  1.60  1.62  1.64  1.65
[2,]  1.61  1.63  1.64  1.65
[3,]  1.61  1.63  1.64  1.65
[4,]  1.61  1.64  1.64  1.65
> 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] 1.4300 1.4300 1.4300 1.4300 1.4450 1.4800 1.4800 1.4800 1.4800 1.4800
[11] 1.4800 1.4800 1.5525 1.5875 1.6075 1.6300 1.6400 1.6500
> arr.sd
 [1] 0.000000000 0.000000000 0.000000000 0.000000000 0.023804761 0.000000000
 [7] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
[13] 0.048562674 0.009574271 0.005000000 0.008164966 0.000000000 0.000000000
> arr.range
 [1] 0.00 0.00 0.00 0.00 0.05 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.10 0.02 0.01
[16] 0.02 0.00 0.00
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -0.03323      0.02549  

> (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