R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(84.9,81.9,95.9,81,89.2,102.5,89.8,88.8,83.2,90.2,100.4,187.1,87.6,85.4,86.1,86.7,89.1,103.7,86.9,85.2,80.8,91.2,102.8,182.5,80.9,83.1,88.3,86.6,93,105.3,93.8,86.4,87,96.7,100.5,196.7,86.8,88.2,93.8,85,90.4,115.9,94.9,87.7,91.7,95.9,106.8,204.5,90.2,90.5,93.2,97.8,99.4,120,108.2,98.5,104.3,102.9,111.1,188.1,93.8,94.5,112.4,102.5,115.8,136.5,122.1,110.6,116.4,112.6,121.5,199.3,102.1,100.6,119,106.8,121.3,145.5,129.7,117.7,121.3,124.3,135.2,210.1,106.8,110.5,111.5,122.1,126.3,143.2,137.3,121.5,121.9,123.9,131.6,220.9)
> 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,]  84.9  87.6  80.9  86.8  90.2  93.8 102.1 106.8
 [2,]  81.9  85.4  83.1  88.2  90.5  94.5 100.6 110.5
 [3,]  95.9  86.1  88.3  93.8  93.2 112.4 119.0 111.5
 [4,]  81.0  86.7  86.6  85.0  97.8 102.5 106.8 122.1
 [5,]  89.2  89.1  93.0  90.4  99.4 115.8 121.3 126.3
 [6,] 102.5 103.7 105.3 115.9 120.0 136.5 145.5 143.2
 [7,]  89.8  86.9  93.8  94.9 108.2 122.1 129.7 137.3
 [8,]  88.8  85.2  86.4  87.7  98.5 110.6 117.7 121.5
 [9,]  83.2  80.8  87.0  91.7 104.3 116.4 121.3 121.9
[10,]  90.2  91.2  96.7  95.9 102.9 112.6 124.3 123.9
[11,] 100.4 102.8 100.5 106.8 111.1 121.5 135.2 131.6
[12,] 187.1 182.5 196.7 204.5 188.1 199.3 210.1 220.9
> 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]  97.90833  97.33333  99.85833 103.46667 108.68333 119.83333 127.80000
[8] 131.45833
> arr.sd
[1] 28.91704 27.69149 31.33129 33.03877 26.48179 27.70213 29.01799 30.11990
> arr.range
[1] 106.1 101.7 115.8 119.5  97.9 105.5 109.5 114.1
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   30.90991     -0.01464  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      3.62502       -0.05321  

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

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

Coefficients:
(Intercept)     arr.mean  
  101.22403      0.06804  

> postscript(file="/var/www/html/rcomp/tmp/1wwow1263746341.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/20fxs1263746341.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/34b4m1263746341.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/45azb1263746341.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5wlfb1263746342.tab") 
> 
> try(system("convert tmp/1wwow1263746341.ps tmp/1wwow1263746341.png",intern=TRUE))
character(0)
> try(system("convert tmp/20fxs1263746341.ps tmp/20fxs1263746341.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.492   0.291   0.726