R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(89.3,88.1,93.6,79.7,83.8,62.3,62.3,77.6,80.3,97,94,75.1,74,77.6,75.1,85,75.4,63.2,64.7,77,82.6,97.6,99,75.3,71.6,76.8,83.9,79.7,77.5,73.1,65.6,85.2,98.3,98,100.6,84.1,76.7,82.4,95.5,79.9,82.4,83.6,73.1,91.1,118.6,102.9,111.8,93.9,91.6,92,91.1,97.5,94.7,96.7,78.7,103.5,113.8,106.1,120.3,114.2,106.3,98.8,113.1,97.7,116.3,107.2,94.5,123.5,126.6,126.5,141.4,124.3,124.9,108.9,126.7,107.7,121.8,118.3,122.8,149.5,147,139.3,162.1,142.2,141.4,124.7,114,126.6,121.9,125.1,122.1,135.9,148.4,137.5,145.3,139.9,128.2,115.4,124.7,111.5,121.1,122.5,127.4,143.7,157.8,148.8,162.9,153.9)
> 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] 108
> (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,] 89.3 74.0  71.6  76.7  91.6 106.3 124.9 141.4 128.2
 [2,] 88.1 77.6  76.8  82.4  92.0  98.8 108.9 124.7 115.4
 [3,] 93.6 75.1  83.9  95.5  91.1 113.1 126.7 114.0 124.7
 [4,] 79.7 85.0  79.7  79.9  97.5  97.7 107.7 126.6 111.5
 [5,] 83.8 75.4  77.5  82.4  94.7 116.3 121.8 121.9 121.1
 [6,] 62.3 63.2  73.1  83.6  96.7 107.2 118.3 125.1 122.5
 [7,] 62.3 64.7  65.6  73.1  78.7  94.5 122.8 122.1 127.4
 [8,] 77.6 77.0  85.2  91.1 103.5 123.5 149.5 135.9 143.7
 [9,] 80.3 82.6  98.3 118.6 113.8 126.6 147.0 148.4 157.8
[10,] 97.0 97.6  98.0 102.9 106.1 126.5 139.3 137.5 148.8
[11,] 94.0 99.0 100.6 111.8 120.3 141.4 162.1 145.3 162.9
[12,] 75.1 75.3  84.1  93.9 114.2 124.3 142.2 139.9 153.9
> 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]  81.92500  78.87500  82.86667  90.99167 100.01667 114.68333 130.93333
[8] 131.90000 134.82500
> arr.sd
[1] 11.47552 10.96143 11.22419 14.19177 11.93283 14.28641 16.94887 10.85458
[9] 17.62535
> arr.range
[1] 34.7 35.8 35.0 45.5 41.6 46.9 54.4 34.4 51.4
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    5.67848      0.07222  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      0.08805        0.53550  

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

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

Coefficients:
(Intercept)     arr.mean  
    20.6090       0.2051  

> postscript(file="/var/www/html/freestat/rcomp/tmp/155o71295181103.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/html/freestat/rcomp/tmp/2kds21295181103.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/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/3ghai1295181104.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/freestat/rcomp/tmp/4l7bu1295181104.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/freestat/rcomp/tmp/5opof1295181104.tab") 
> 
> try(system("convert tmp/155o71295181103.ps tmp/155o71295181103.png",intern=TRUE))
character(0)
> try(system("convert tmp/2kds21295181103.ps tmp/2kds21295181103.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.817   0.414   1.077