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

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(40.04,40.04,40.03,40.03,41.63,42.03,42.03,42.03,42.03,42.03,42.03,42.03,42.03,42.03,42.03,42.03,42.03,42.03,42.03,42.03,42.03,42.38,42.06,42.06,42.05,42.05,42.05,42.05,44.36,44.48,44.49,44.49,44.49,44.49,44.49,44.48,44.48,44.48,44.48,44.48,44.48,44.49,44.49,44.49,44.49,44.49,44.49,44.49,44.49,45.5,45.94,45.95,45.96,45.96,45.96,45.96,45.96,45.96,45.96,45.96,45.97,46.06,47.9,47.93,47.94,47.94,47.94,47.94,47.94,47.94,47.94,47.94)
> 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] 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]
[1,] 40.04 41.63 42.03 42.03 42.03 42.03 42.05 44.36 44.49 44.48 44.48 44.49
[2,] 40.04 42.03 42.03 42.03 42.03 42.38 42.05 44.48 44.49 44.48 44.49 44.49
[3,] 40.03 42.03 42.03 42.03 42.03 42.06 42.05 44.49 44.49 44.48 44.49 44.49
[4,] 40.03 42.03 42.03 42.03 42.03 42.06 42.05 44.49 44.48 44.48 44.49 44.49
     [,13] [,14] [,15] [,16] [,17] [,18]
[1,] 44.49 45.96 45.96 45.97 47.94 47.94
[2,] 45.50 45.96 45.96 46.06 47.94 47.94
[3,] 45.94 45.96 45.96 47.90 47.94 47.94
[4,] 45.95 45.96 45.96 47.93 47.94 47.94
> 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] 40.0350 41.9300 42.0300 42.0300 42.0300 42.1325 42.0500 44.4550 44.4875
[10] 44.4800 44.4875 44.4900 45.4700 45.9600 45.9600 46.9650 47.9400 47.9400
> arr.sd
 [1] 0.005773503 0.200000000 0.000000000 0.000000000 0.000000000 0.165604952
 [7] 0.000000000 0.063508530 0.005000000 0.000000000 0.005000000 0.000000000
[13] 0.686197251 0.000000000 0.000000000 1.097649003 0.000000000 0.000000000
> arr.range
 [1] 0.01 0.40 0.00 0.00 0.00 0.35 0.00 0.13 0.01 0.00 0.01 0.00 1.46 0.00 0.00
[16] 1.96 0.00 0.00
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -1.45595      0.03577  

> (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