R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(2.98,2.98,2.98,3.03,3.07,3.08,3.08,3.08,3.08,3.08,3.08,3.08,3.08,3.08,3.12,3.15,3.15,3.15,3.15,3.16,3.19,3.20,3.20,3.20,3.21,3.21,3.21,3.21,3.21,3.28,3.30,3.30,3.30,3.30,3.30,3.30,3.30,3.45,3.49,3.50,3.54,3.64,3.67,3.67,3.68,3.68,3.68,3.68,3.70,3.83,3.87,3.87,3.87,3.87,3.87,3.87,3.87,3.87,3.87,3.88,3.88,3.88,3.88,3.88,3.88,3.89,3.89,3.91,3.95,3.99,3.99,3.99,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.06,4.07,4.07,4.07,4.07,4.07,4.30,4.44,4.52,4.52,4.52,4.53,4.53,4.53,4.53,4.53,4.53,4.53,4.53,4.61,4.63,4.63,4.63,4.63,4.63,4.63,4.63,4.63,4.63,4.63,4.66,4.73,4.73,4.72,4.7,4.74,4.74,4.74,4.76,4.88,4.88,4.88,4.88,4.89,4.97,4.97,4.97,4.97,4.97,4.97,4.97,4.97)
> par1 = '12'
> #'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] 132
> (np <- floor(n / par1))
[1] 11
> 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]
 [1,] 2.98 3.08 3.21 3.30 3.70 3.88 4.00 4.07 4.53  4.63  4.88
 [2,] 2.98 3.08 3.21 3.45 3.83 3.88 4.00 4.07 4.53  4.63  4.88
 [3,] 2.98 3.12 3.21 3.49 3.87 3.88 4.00 4.30 4.53  4.66  4.88
 [4,] 3.03 3.15 3.21 3.50 3.87 3.88 4.00 4.44 4.61  4.73  4.89
 [5,] 3.07 3.15 3.21 3.54 3.87 3.88 4.00 4.52 4.63  4.73  4.97
 [6,] 3.08 3.15 3.28 3.64 3.87 3.89 4.00 4.52 4.63  4.72  4.97
 [7,] 3.08 3.15 3.30 3.67 3.87 3.89 4.00 4.52 4.63  4.70  4.97
 [8,] 3.08 3.16 3.30 3.67 3.87 3.91 4.00 4.53 4.63  4.74  4.97
 [9,] 3.08 3.19 3.30 3.68 3.87 3.95 4.06 4.53 4.63  4.74  4.97
[10,] 3.08 3.20 3.30 3.68 3.87 3.99 4.07 4.53 4.63  4.74  4.97
[11,] 3.08 3.20 3.30 3.68 3.87 3.99 4.07 4.53 4.63  4.76  4.97
[12,] 3.08 3.20 3.30 3.68 3.88 3.99 4.07 4.53 4.63  4.88  4.97
> 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] 3.050000 3.152500 3.260833 3.581667 3.853333 3.917500 4.022500 4.424167
 [9] 4.603333 4.721667 4.940833
> arr.sd
 [1] 0.04451762 0.04245318 0.04521833 0.12474216 0.04978743 0.04807664
 [7] 0.03333712 0.17839987 0.04458563 0.06658328 0.04316108
> arr.range
 [1] 0.10 0.12 0.09 0.38 0.18 0.11 0.07 0.46 0.10 0.25 0.09
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
     0.0216       0.0111  

> (lnlm1 <- lm(log(arr.sd)~log(arr.mean)))

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -3.5935         0.5308  

> (lm2 <- lm(arr.range~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    0.04104      0.03443  

> postscript(file="/var/wessaorg/rcomp/tmp/1wtpf1323894736.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.mean,arr.sd,main='Standard Deviation-Mean Plot',xlab='mean',ylab='standard deviation')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/2ddp21323894736.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.mean,arr.range,main='Range-Mean Plot',xlab='mean',ylab='range')
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Standard Deviation-Mean Plot',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Section',header=TRUE)
> a<-table.element(a,'Mean',header=TRUE)
> a<-table.element(a,'Standard Deviation',header=TRUE)
> a<-table.element(a,'Range',header=TRUE)
> a<-table.row.end(a)
> for (j in 1:np) {
+ a<-table.row.start(a)
+ a<-table.element(a,j,header=TRUE)
+ a<-table.element(a,arr.mean[j])
+ a<-table.element(a,arr.sd[j] )
+ a<-table.element(a,arr.range[j] )
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/351331323894736.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: S.E.(k) = alpha + beta * Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lm1$coefficients[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'beta',header=TRUE)
> a<-table.element(a,lm1$coefficients[[2]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,summary(lm1)$coefficients[2,2])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'T-STAT',header=TRUE)
> a<-table.element(a,summary(lm1)$coefficients[2,3])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'p-value',header=TRUE)
> a<-table.element(a,summary(lm1)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4c4hp1323894736.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$coefficients[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'beta',header=TRUE)
> a<-table.element(a,lnlm1$coefficients[[2]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,summary(lnlm1)$coefficients[2,2])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'T-STAT',header=TRUE)
> a<-table.element(a,summary(lnlm1)$coefficients[2,3])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'p-value',header=TRUE)
> a<-table.element(a,summary(lnlm1)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Lambda',header=TRUE)
> a<-table.element(a,1-lnlm1$coefficients[[2]])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/5dzf51323894736.tab") 
> 
> try(system("convert tmp/1wtpf1323894736.ps tmp/1wtpf1323894736.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ddp21323894736.ps tmp/2ddp21323894736.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.620   0.157   0.789