R version 2.7.1 (2008-06-23)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(0.22,0.22,0.2,0.21,0.21,0.19,0.19,0.18,0.18,0.19,0.18,0.17,0.17,0.17,0.18,0.2,0.2,0.2,0.22,0.23,0.25,0.25,0.27,0.29,0.3,0.31,0.33,0.31,0.33,0.33,0.35,0.37,0.47,0.45,0.45,0.4,0.34,0.35,0.34,0.35,0.36,0.37,0.36,0.35,0.36,0.33,0.3,0.28,0.28,0.28,0.3,0.32,0.32,0.3,0.3,0.31,0.33,0.34,0.31,0.33,0.35,0.38,0.4,0.32,0.29,0.3,0.3,0.32,0.32,0.32,0.32,0.32,0.33,0.31,0.33,0.35,0.37,0.37,0.38,0.42,0.42,0.49,0.45,0.41,0.4,0.42,0.47,0.49,0.47,0.52,0.56,0.57,0.61,0.52,0.5,0.5)
> 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] 96
> (np <- floor(n / par1))
[1] 8
> 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]
 [1,] 0.22 0.17 0.30 0.34 0.28 0.35 0.33 0.40
 [2,] 0.22 0.17 0.31 0.35 0.28 0.38 0.31 0.42
 [3,] 0.20 0.18 0.33 0.34 0.30 0.40 0.33 0.47
 [4,] 0.21 0.20 0.31 0.35 0.32 0.32 0.35 0.49
 [5,] 0.21 0.20 0.33 0.36 0.32 0.29 0.37 0.47
 [6,] 0.19 0.20 0.33 0.37 0.30 0.30 0.37 0.52
 [7,] 0.19 0.22 0.35 0.36 0.30 0.30 0.38 0.56
 [8,] 0.18 0.23 0.37 0.35 0.31 0.32 0.42 0.57
 [9,] 0.18 0.25 0.47 0.36 0.33 0.32 0.42 0.61
[10,] 0.19 0.25 0.45 0.33 0.34 0.32 0.49 0.52
[11,] 0.18 0.27 0.45 0.30 0.31 0.32 0.45 0.50
[12,] 0.17 0.29 0.40 0.28 0.33 0.32 0.41 0.50
> 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] 0.1950000 0.2191667 0.3666667 0.3408333 0.3100000 0.3283333 0.3858333
[8] 0.5025000
> arr.sd
[1] 0.01678744 0.03941812 0.06095204 0.02644319 0.01906925 0.03270622 0.05367551
[8] 0.06001894
> arr.range
[1] 0.05 0.12 0.17 0.09 0.06 0.11 0.18 0.21
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
  -0.004389     0.129962  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       -2.097          1.102  

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

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

Coefficients:
(Intercept)     arr.mean  
   -0.03365      0.47547  

> postscript(file="/var/www/html/rcomp/tmp/1ess61218546936.ps",horizontal=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/html/rcomp/tmp/2carn1218546936.ps",horizontal=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/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/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/html/rcomp/tmp/3gyog1218546937.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/476bc1218546937.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/html/rcomp/tmp/5qyp51218546937.tab") 
> 
> system("convert tmp/1ess61218546936.ps tmp/1ess61218546936.png")
> system("convert tmp/2carn1218546936.ps tmp/2carn1218546936.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.769   0.312   2.140