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(24.3,29.4,31.8,36.7,37.1,37.7,39.4,43.3,39.6,34.3,32,29.6,22.3,28.9,31.7,34.2,38.6,37.2,38.8,43.4,38.8,36.3,33,29.2,22.64,28.44,30.14,34.39,36.82,36.74,38.9,42.8,39.09,37.49,33.17,30.98,21.2,27.8,29,35.4,37.5,34.7,38.4,39.9,35.9,34.7,30.4,29,21.5,28,29.3,34.3,36.6,36.2,37.5,41.6,39.4,37.3,32.7,30.7,22.9,29.1,29.5,37.1,37.7,38.4,39.4,40.6,39.7,36.6,32.8,31.6,24.1,30.3,31.8,38.7,37.8,38.4,40.7,43.8,41.5,39.3,35.9,33.4)
> 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] 84
> (np <- floor(n / par1))
[1] 21
> 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,] 24.3 37.1 39.6 22.3 38.6 38.8 22.64 36.82 39.09  21.2  37.5  35.9  21.5
[2,] 29.4 37.7 34.3 28.9 37.2 36.3 28.44 36.74 37.49  27.8  34.7  34.7  28.0
[3,] 31.8 39.4 32.0 31.7 38.8 33.0 30.14 38.90 33.17  29.0  38.4  30.4  29.3
[4,] 36.7 43.3 29.6 34.2 43.4 29.2 34.39 42.80 30.98  35.4  39.9  29.0  34.3
     [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21]
[1,]  36.6  39.4  22.9  37.7  39.7  24.1  37.8  41.5
[2,]  36.2  37.3  29.1  38.4  36.6  30.3  38.4  39.3
[3,]  37.5  32.7  29.5  39.4  32.8  31.8  40.7  35.9
[4,]  41.6  30.7  37.1  40.6  31.6  38.7  43.8  33.4
> 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] 30.5500 39.3750 33.8750 29.2750 39.5000 34.3250 28.9025 38.8150 35.1825
[10] 28.3500 37.6250 32.5000 28.2750 37.9750 35.0250 29.6500 39.0250 35.1750
[19] 31.2250 40.1750 37.5250
> arr.sd
 [1] 5.156549 2.792102 4.271904 5.129246 2.695676 4.161230 4.867473 2.838609
 [9] 3.755186 5.818075 2.186893 3.319639 5.270278 2.477061 4.017773 5.813490
[17] 1.260622 3.693576 5.995206 2.720754 3.587362
> arr.range
 [1] 12.40  6.20 10.00 11.90  6.20  9.60 11.75  6.06  8.11 14.20  5.20  6.90
[13] 12.80  5.40  8.70 14.20  2.90  8.10 14.60  6.00  8.10
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    13.8127      -0.2883  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       10.678         -2.658  

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

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

Coefficients:
(Intercept)     arr.mean  
    34.5084      -0.7412  

> postscript(file="/var/www/html/rcomp/tmp/1haof1263568477.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/2y1x31263568477.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/3okfp1263568477.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/4kbqg1263568477.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/50hd51263568477.tab") 
> 
> try(system("convert tmp/1haof1263568477.ps tmp/1haof1263568477.png",intern=TRUE))
character(0)
> try(system("convert tmp/2y1x31263568477.ps tmp/2y1x31263568477.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.507   0.270   0.761