R version 2.6.2 (2008-02-08)
Copyright (C) 2008 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(2.02,1.99,1.99,2.01,2.01,2.01,2,2.01,2.02,2.01,2,2.01,2.01,2.01,2,2,1.98,2.01,1.99,1.99,2,2,1.99,1.96,1.98,1.98,1.99,1.99,1.99,1.99,1.98,1.98,1.98,1.98,1.98,1.98,1.97,1.99,2,1.99,1.98,1.98,1.96,1.95,1.94,1.93,1.92,1.91,1.92,1.93,1.94,1.93,1.94,1.93,1.93,1.92,1.92,1.91,1.92,1.92,1.93,1.91,1.95,2.01,1.98,2.01,2,1.99,1.98,1.98,1.99,1.98,1.99)
> 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] 73
> (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,] 2.02 2.01 2.02 2.01 1.98 2.00 1.98 1.99 1.98  1.97  1.98  1.94  1.92  1.94
[2,] 1.99 2.01 2.01 2.01 2.01 2.00 1.98 1.99 1.98  1.99  1.98  1.93  1.93  1.93
[3,] 1.99 2.00 2.00 2.00 1.99 1.99 1.99 1.98 1.98  2.00  1.96  1.92  1.94  1.93
[4,] 2.01 2.01 2.01 2.00 1.99 1.96 1.99 1.98 1.98  1.99  1.95  1.91  1.93  1.92
     [,15] [,16] [,17] [,18]
[1,]  1.92  1.93  1.98  1.98
[2,]  1.91  1.91  2.01  1.98
[3,]  1.92  1.95  2.00  1.99
[4,]  1.92  2.01  1.99  1.98
> 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] 2.0025 2.0075 2.0100 2.0050 1.9925 1.9875 1.9850 1.9850 1.9800 1.9875
[11] 1.9675 1.9250 1.9300 1.9300 1.9175 1.9500 1.9950 1.9825
> arr.sd
 [1] 0.015000000 0.005000000 0.008164966 0.005773503 0.012583057 0.018929694
 [7] 0.005773503 0.005773503 0.000000000 0.012583057 0.015000000 0.012909944
[13] 0.008164966 0.008164966 0.005000000 0.043204938 0.012909944 0.005000000
> arr.range
 [1] 0.03 0.01 0.02 0.01 0.03 0.04 0.01 0.01 0.00 0.03 0.03 0.03 0.02 0.02 0.01
[16] 0.10 0.03 0.01
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    0.09752     -0.04376  

> (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