R version 2.12.2 (2011-02-25)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: x86_64-redhat-linux-gnu (64-bit)

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> x <- c(106.42,106.22,106.32,105.81,105.92,107.54,107.34,107.24,107.74,105.71,105.41,106.22,106.32,106.12,106.22,105.92,105.71,105.71,105.92,105.71,105.41,104.49,101.35,99.72,99.01,97.89,95.86,94.95,95.35,95.15,95.46,95.56,95.05,94.64,93.63,93.12,93.53,97.18,96.27,95.15,97.08,101.95,103.07,103.68,102.87,102.56,103.38,103.27,102.89,102.69,101.54,102.9,101.53,101.96,101.99,101.11,101.75,101.71,104.11,103.57,103.32,103.64,103.68,103.79,103.01,101.54,101.9,103.68,104.62,104.11,105.04,104.83,105.05,104.68,107.32,109.9,109.77,110.69,110.54,110.89,110.95,109.73,110.85,110.39,110.58,110.4,111.07,110.86,111.38,111.44,110.36,110.06,108.34,107.94,107.39,107.1,107.61,107.74,106.9,106.71,106.6,108.21,110.54,110.91,109.51,110.27,111.39,112.13,111.64)
> 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] 109
> (np <- floor(n / par1))
[1] 9
> 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]
 [1,] 106.42 106.32 99.01  93.53 102.89 103.32 105.05 110.58 107.61
 [2,] 106.22 106.12 97.89  97.18 102.69 103.64 104.68 110.40 107.74
 [3,] 106.32 106.22 95.86  96.27 101.54 103.68 107.32 111.07 106.90
 [4,] 105.81 105.92 94.95  95.15 102.90 103.79 109.90 110.86 106.71
 [5,] 105.92 105.71 95.35  97.08 101.53 103.01 109.77 111.38 106.60
 [6,] 107.54 105.71 95.15 101.95 101.96 101.54 110.69 111.44 108.21
 [7,] 107.34 105.92 95.46 103.07 101.99 101.90 110.54 110.36 110.54
 [8,] 107.24 105.71 95.56 103.68 101.11 103.68 110.89 110.06 110.91
 [9,] 107.74 105.41 95.05 102.87 101.75 104.62 110.95 108.34 109.51
[10,] 105.71 104.49 94.64 102.56 101.71 104.11 109.73 107.94 110.27
[11,] 105.41 101.35 93.63 103.38 104.11 105.04 110.85 107.39 111.39
[12,] 106.22  99.72 93.12 103.27 103.57 104.83 110.39 107.10 112.13
> 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] 106.49083 104.88333  95.47250  99.99917 102.31250 103.59667 109.23000
[8] 109.74333 109.04333
> arr.sd
[1] 0.7799587 2.1139379 1.6155164 3.8073218 0.9143415 1.0658956 2.2632479
[8] 1.5932490 1.9756947
> arr.range
[1]  2.33  6.60  5.89 10.15  3.00  3.50  6.27  4.34  5.53
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    4.53320     -0.02622  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       3.7447        -0.7039  

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

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

Coefficients:
(Intercept)     arr.mean  
    19.8296      -0.1391  

> postscript(file="/var/www/wessaorg/rcomp/tmp/13bqi1304686481.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/www/wessaorg/rcomp/tmp/29xwg1304686481.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/www/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/www/wessaorg/rcomp/tmp/38xng1304686481.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/wessaorg/rcomp/tmp/4h38h1304686481.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/www/wessaorg/rcomp/tmp/5gshx1304686481.tab") 
> 
> try(system("convert tmp/13bqi1304686481.ps tmp/13bqi1304686481.png",intern=TRUE))
character(0)
> try(system("convert tmp/29xwg1304686481.ps tmp/29xwg1304686481.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.500   0.160   1.705