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(3.35,3.35,3.35,3.4,3.42,3.42,3.42,3.42,3.42,3.42,3.42,3.42,3.42,3.42,3.42,3.43,3.47,3.51,3.52,3.52,3.52,3.52,3.52,3.52,3.52,3.52,3.52,3.58,3.6,3.61,3.61,3.61,3.63,3.68,3.69,3.69,3.69,3.69,3.69,3.69,3.69,3.69,3.78,3.79,3.79,3.8,3.8,3.8,3.8,3.81,3.95,3.99,4,4.06,4.16,4.19,4.2,4.2,4.2,4.2,4.2,4.23,4.38,4.43,4.44,4.44,4.44,4.44,4.44,4.45,4.45,4.45,4.45,4.45,4.45,4.45,4.45,4.46,4.46,4.46,4.48,4.58,4.67,4.68,4.68)
> 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] 85
> (np <- floor(n / par1))
[1] 21
> 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,] 3.35 3.42 3.42 3.42 3.47 3.52 3.52 3.60 3.63  3.69  3.69  3.79  3.80  4.00
[2,] 3.35 3.42 3.42 3.42 3.51 3.52 3.52 3.61 3.68  3.69  3.69  3.80  3.81  4.06
[3,] 3.35 3.42 3.42 3.42 3.52 3.52 3.52 3.61 3.69  3.69  3.78  3.80  3.95  4.16
[4,] 3.40 3.42 3.42 3.43 3.52 3.52 3.58 3.61 3.69  3.69  3.79  3.80  3.99  4.19
     [,15] [,16] [,17] [,18] [,19] [,20] [,21]
[1,]   4.2  4.20  4.44  4.44  4.45  4.45  4.48
[2,]   4.2  4.23  4.44  4.45  4.45  4.46  4.58
[3,]   4.2  4.38  4.44  4.45  4.45  4.46  4.67
[4,]   4.2  4.43  4.44  4.45  4.45  4.46  4.68
> 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] 3.3625 3.4200 3.4200 3.4225 3.5050 3.5200 3.5350 3.6075 3.6725 3.6900
[11] 3.7375 3.7975 3.8875 4.1025 4.2000 4.3100 4.4400 4.4475 4.4500 4.4575
[21] 4.6025
> arr.sd
 [1] 0.02500000 0.00000000 0.00000000 0.00500000 0.02380476 0.00000000
 [7] 0.03000000 0.00500000 0.02872281 0.00000000 0.05500000 0.00500000
[13] 0.09673848 0.08808140 0.00000000 0.11224972 0.00000000 0.00500000
[19] 0.00000000 0.00500000 0.09322911
> arr.range
 [1] 0.05 0.00 0.00 0.01 0.05 0.00 0.06 0.01 0.06 0.00 0.10 0.01 0.19 0.19 0.00
[16] 0.23 0.00 0.01 0.00 0.01 0.20
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -0.06755      0.02447  

> (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