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(132.1,125,127.1,101.5,85.7,79.3,70.9,77.1,83.9,96.2,111.7,127.2,143.6,134.9,135.6,105.3,86.4,74.6,67.6,73.4,78.5,98.2,118.6,136.9,137.9,115.6,119.3,98.5,84.3,73.5,60.7,69.5,77.9,113.9,126.3,135.1,130.5,113.1,110,90.8,85.4,72.5,64.7,67.2,77.9,105.2,107.2,120.7,121.3,107.9,105.6,81.3,71.7,64.8,57.3,61.9,70.1,88.8,106.8,110.7,114.1,108,111.5,86.8,78.4,68,57.3,65.3,73.3,88.6,101.3,122.9,126.6,114.1,124.7)
> par1 = '4'
> #'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] 75
> (np <- floor(n / par1))
[1] 18
> 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] [,10] [,11] [,12] [,13]
[1,] 132.1 85.7  83.9 143.6 86.4  78.5 137.9 84.3  77.9 130.5  85.4  77.9 121.3
[2,] 125.0 79.3  96.2 134.9 74.6  98.2 115.6 73.5 113.9 113.1  72.5 105.2 107.9
[3,] 127.1 70.9 111.7 135.6 67.6 118.6 119.3 60.7 126.3 110.0  64.7 107.2 105.6
[4,] 101.5 77.1 127.2 105.3 73.4 136.9  98.5 69.5 135.1  90.8  67.2 120.7  81.3
     [,14] [,15] [,16] [,17] [,18]
[1,]  71.7  70.1 114.1  78.4  73.3
[2,]  64.8  88.8 108.0  68.0  88.6
[3,]  57.3 106.8 111.5  57.3 101.3
[4,]  61.9 110.7  86.8  65.3 122.9
> 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] 121.425  78.250 104.750 129.850  75.500 108.050 117.825  72.000 113.300
[10] 111.100  72.450 102.750 104.025  63.925  94.100 105.100  67.250  96.525
> arr.sd
 [1] 13.613076  6.108737 18.798316 16.835775  7.883316 25.257672 16.161554
 [8]  9.789110 25.151276 16.265096  9.225508 17.939993 16.656805  6.033448
[15] 18.627399 12.453380  8.711869 20.981321
> arr.range
 [1] 30.6 14.8 43.3 38.3 18.8 58.4 39.4 23.6 57.2 39.7 20.7 42.8 40.0 14.4 40.6
[16] 27.3 21.1 49.6
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    -5.3323       0.2085  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       -4.756          1.619  

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

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

Coefficients:
(Intercept)     arr.mean  
    -11.394        0.475  

> postscript(file="/var/www/html/freestat/rcomp/tmp/1c59y1291149209.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/2c59y1291149209.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/3y5841291149209.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/freestat/rcomp/tmp/416or1291149209.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5ffmi1291149209.tab") 
> 
> try(system("convert tmp/1c59y1291149209.ps tmp/1c59y1291149209.png",intern=TRUE))
character(0)
> try(system("convert tmp/2c59y1291149209.ps tmp/2c59y1291149209.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.842   0.431   0.959