R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: x86_64-redhat-linux-gnu (64-bit)

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> x <- c(8.3,8.2,8.1,8,8.1,8.1,8,7.8,7.7,7.7,7.7,7.6,7.5,7.3,7.2,7.1,7.2,7.2,7.2,6.9,6.8,6.8,6.8,6.9,7,7.2,7.2,7.2,7,7,7.2,7.4,7.8,8,7.8,7.8,7.9,7.9,8,8,8,8,8.2,8.4,8.6,8.6,8.5,8.5,8.4,8.4,8.4,8.5,8.6,8.6,8.6,8.6,8.6,8.5,8.4,8.4,8.3,8.3,8.3,8.6,8.8,8.8,8.5,8.1,7.9,8,8.4,8.5,8.5,8.4,8.3,8.3,8.2,8.1,8.1,8.2,8.2,8.2,8.1,8.1,8,7.8,7.7,7.7,7.7,7.7,7.7,7.5,7.4,7.3,7.4,7.4,7.3,7.3,7.1,7,6.5,6.3,6.3,6.5,6.6,6.5,6.3,6.3,6.3,6.5,6.7,6.7,6.7,6.8,6.7,6.8,6.8,7,7,7.2,7.4,7.6,7.8,7.9,8.1,8.3,8.5,8.7,8.8,8.9,9,9,9.1,9.1,9.1,9.2,9.4,9.4,9.3,9.4,9.4,9.5,9.5,9.4,9.4,9.4,9.3,9.3,9.3,9.3,9.3,9.2,9.1,9.1,9.1,9.1,9.2,9.2,9.2,9.3,9.4,9.4,9.5,9.6,9.7,9.7,9.8,9.9,9.9,9.9,9.8,9.8,9.7,9.7,9.6,9.6,9.6,9.6,9.6,9.7,9.7,9.7,9.7,9.8,9.8,9.8,9.8,9.9,9.9,9.8,9.7,9.6,9.6,9.5,9.3,9.2,9,8.9,8.7,8.5,8.4,8.2,8.1,7.9,7.8,7.6,7.5,7.4,7.2,7.2,7.1,7,7,6.9,6.8,6.7,6.7,6.6,6.6,6.5,6.5,6.4,6.4,6.4,6.4,6.3,6.4,6.4,6.4,6.4,6.4,6.4,6.4,6.5,6.5,6.6,6.6,6.6,6.7,6.7,6.8)
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = ''
> par6 = ''
> par5 = ''
> par4 = ''
> par3 = ''
> par2 = ''
> par1 = '12'
> ylab = ''
> xlab = ''
> main = ''
> #'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] 241
> (np <- floor(n / par1))
[1] 20
> 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,]  8.3  7.5  7.0  7.9  8.4  8.3  8.5  8.0  7.3   6.3   7.4   9.1   9.4
 [2,]  8.2  7.3  7.2  7.9  8.4  8.3  8.4  7.8  7.3   6.5   7.6   9.1   9.4
 [3,]  8.1  7.2  7.2  8.0  8.4  8.3  8.3  7.7  7.1   6.7   7.8   9.1   9.3
 [4,]  8.0  7.1  7.2  8.0  8.5  8.6  8.3  7.7  7.0   6.7   7.9   9.2   9.3
 [5,]  8.1  7.2  7.0  8.0  8.6  8.8  8.2  7.7  6.5   6.7   8.1   9.4   9.3
 [6,]  8.1  7.2  7.0  8.0  8.6  8.8  8.1  7.7  6.3   6.8   8.3   9.4   9.3
 [7,]  8.0  7.2  7.2  8.2  8.6  8.5  8.1  7.7  6.3   6.7   8.5   9.3   9.3
 [8,]  7.8  6.9  7.4  8.4  8.6  8.1  8.2  7.5  6.5   6.8   8.7   9.4   9.2
 [9,]  7.7  6.8  7.8  8.6  8.6  7.9  8.2  7.4  6.6   6.8   8.8   9.4   9.1
[10,]  7.7  6.8  8.0  8.6  8.5  8.0  8.2  7.3  6.5   7.0   8.9   9.5   9.1
[11,]  7.7  6.8  7.8  8.5  8.4  8.4  8.1  7.4  6.3   7.0   9.0   9.5   9.1
[12,]  7.6  6.9  7.8  8.5  8.4  8.5  8.1  7.4  6.3   7.2   9.0   9.4   9.1
      [,14] [,15] [,16] [,17] [,18] [,19] [,20]
 [1,]   9.2   9.9   9.7   9.6   7.8   6.7   6.4
 [2,]   9.2   9.9   9.7   9.5   7.6   6.6   6.4
 [3,]   9.2   9.8   9.7   9.3   7.5   6.6   6.4
 [4,]   9.3   9.8   9.8   9.2   7.4   6.5   6.4
 [5,]   9.4   9.7   9.8   9.0   7.2   6.5   6.4
 [6,]   9.4   9.7   9.8   8.9   7.2   6.4   6.5
 [7,]   9.5   9.6   9.8   8.7   7.1   6.4   6.5
 [8,]   9.6   9.6   9.9   8.5   7.0   6.4   6.6
 [9,]   9.7   9.6   9.9   8.4   7.0   6.4   6.6
[10,]   9.7   9.6   9.8   8.2   6.9   6.3   6.6
[11,]   9.8   9.6   9.7   8.1   6.8   6.4   6.7
[12,]   9.9   9.7   9.6   7.9   6.7   6.4   6.7
> 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] 7.941667 7.075000 7.383333 8.216667 8.500000 8.375000 8.225000 7.608333
 [9] 6.666667 6.766667 8.333333 9.316667 9.241667 9.491667 9.708333 9.766667
[17] 8.775000 7.183333 6.466667 6.516667
> arr.sd
 [1] 0.23143164 0.23011855 0.36639108 0.28230652 0.09534626 0.28643578
 [7] 0.12880570 0.20652243 0.39619401 0.23484360 0.56622086 0.15275252
[13] 0.11645002 0.24664414 0.11645002 0.08876254 0.56427749 0.33529724
[19] 0.11547005 0.11934163
> arr.range
 [1] 0.7 0.7 1.0 0.7 0.2 0.9 0.4 0.7 1.0 0.9 1.6 0.4 0.3 0.7 0.3 0.3 1.7 1.1 0.4
[20] 0.3
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    0.39409     -0.01858  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       0.1864        -0.8424  

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

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

Coefficients:
(Intercept)     arr.mean  
    1.28065     -0.07002  

> postscript(file="/var/www/wessaorg/rcomp/tmp/1z0p81293640608.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/wessaorg/rcomp/tmp/2z0p81293640608.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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/www/wessaorg/rcomp/tmp/32j5d1293640608.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/wessaorg/rcomp/tmp/4yu7e1293640609.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/wessaorg/rcomp/tmp/5ul451293640609.tab") 
> 
> try(system("convert tmp/1z0p81293640608.ps tmp/1z0p81293640608.png",intern=TRUE))
character(0)
> try(system("convert tmp/2z0p81293640608.ps tmp/2z0p81293640608.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
   0.67    0.06    0.77