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(7.08,7.08,7.09,7.07,7.06,6.99,6.99,6.99,6.98,6.96,6.95,6.91,6.91,6.87,6.91,6.89,6.88,6.9,6.91,6.85,6.86,6.82,6.8,6.83,6.84,6.89,7.14,7.21,7.25,7.31,7.3,7.48,7.49,7.4,7.44,7.42,7.14,7.24,7.33,7.61,7.66,7.69,7.7,7.68,7.71,7.71,7.72,7.68,7.72,7.74,7.76,7.9,7.97,7.96,7.95,7.97,7.93,7.99,7.96,7.92,7.97,7.98,8,8.04,8.17,8.29,8.26,8.3,8.32,8.28,8.27,8.32,8.31,8.34,8.32,8.36,8.33,8.35,8.34,8.37,8.31,8.33,8.34,8.25,8.27,8.31,8.25,8.3,8.3,8.35,8.78,8.9,8.9,8.9,9,9.05)
> 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,] 7.08 6.91 6.84 7.14 7.72 7.97 8.31 8.27
 [2,] 7.08 6.87 6.89 7.24 7.74 7.98 8.34 8.31
 [3,] 7.09 6.91 7.14 7.33 7.76 8.00 8.32 8.25
 [4,] 7.07 6.89 7.21 7.61 7.90 8.04 8.36 8.30
 [5,] 7.06 6.88 7.25 7.66 7.97 8.17 8.33 8.30
 [6,] 6.99 6.90 7.31 7.69 7.96 8.29 8.35 8.35
 [7,] 6.99 6.91 7.30 7.70 7.95 8.26 8.34 8.78
 [8,] 6.99 6.85 7.48 7.68 7.97 8.30 8.37 8.90
 [9,] 6.98 6.86 7.49 7.71 7.93 8.32 8.31 8.90
[10,] 6.96 6.82 7.40 7.71 7.99 8.28 8.33 8.90
[11,] 6.95 6.80 7.44 7.72 7.96 8.27 8.34 9.00
[12,] 6.91 6.83 7.42 7.68 7.92 8.32 8.25 9.05
> 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] 7.012500 6.869167 7.264167 7.572500 7.897500 8.183333 8.329167 8.609167
> arr.sd
[1] 0.06062178 0.03776924 0.21597383 0.20850659 0.09836158 0.14342140 0.03088346
[8] 0.33328825
> arr.range
[1] 0.18 0.11 0.65 0.58 0.27 0.35 0.12 0.80
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -0.39287      0.06919  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       -9.195          3.403  

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

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

Coefficients:
(Intercept)     arr.mean  
    -0.6971       0.1399  

> postscript(file="/var/wessaorg/rcomp/tmp/1vn1z1322850482.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/2ilhw1322850482.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/3gjao1322850482.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4v9wm1322850482.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5r8zz1322850482.tab") 
> 
> try(system("convert tmp/1vn1z1322850482.ps tmp/1vn1z1322850482.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ilhw1322850482.ps tmp/2ilhw1322850482.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.634   0.111   0.763