R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(15,14.4,13,13.7,13.6,15.2,12.9,14,14.1,13.2,11.3,13.3,14.4,13.3,11.6,13.2,13.1,14.6,14,14.3,13.8,13.7,11,14.4,15.6,13.7,12.6,13.2,13.3,14.3,14,13.4,13.9,13.7,10.5,14.5,15,13.5,13.5,13.2,13.8,16.2,14.7,13.9,16,14.4,12.3,15.9,15.9,15.5,15.1,14.5,15.1,17.4,16.2,15.6,17.2,14.9,13.8,17.5,16.2,17.5,16.6,16.2,16.6,19.6,15.9,18,18.3,16.3,14.9,18.2,18.4,18.5,16,17.4,17.2,19.6,17.2,18.3,19.3,18.1,16.2,18.4,20.5,19,16.5,18.7,19,19.2,20.5,19.3,20.6,20.1,16.1,20.4,19.7,15.6,14.4,13.7,14.1,15,14.2,13.6,15.4,14.8,12.5,16.2,16.1,16,15.8,15.2,15.7,18.9,17.4,17,19.8,17.7,16,19.6,19.7)
> 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] 121
> (np <- floor(n / par1))
[1] 10
> 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]
 [1,] 15.0 14.4 15.6 15.0 15.9 16.2 18.4 20.5 19.7  16.1
 [2,] 14.4 13.3 13.7 13.5 15.5 17.5 18.5 19.0 15.6  16.0
 [3,] 13.0 11.6 12.6 13.5 15.1 16.6 16.0 16.5 14.4  15.8
 [4,] 13.7 13.2 13.2 13.2 14.5 16.2 17.4 18.7 13.7  15.2
 [5,] 13.6 13.1 13.3 13.8 15.1 16.6 17.2 19.0 14.1  15.7
 [6,] 15.2 14.6 14.3 16.2 17.4 19.6 19.6 19.2 15.0  18.9
 [7,] 12.9 14.0 14.0 14.7 16.2 15.9 17.2 20.5 14.2  17.4
 [8,] 14.0 14.3 13.4 13.9 15.6 18.0 18.3 19.3 13.6  17.0
 [9,] 14.1 13.8 13.9 16.0 17.2 18.3 19.3 20.6 15.4  19.8
[10,] 13.2 13.7 13.7 14.4 14.9 16.3 18.1 20.1 14.8  17.7
[11,] 11.3 11.0 10.5 12.3 13.8 14.9 16.2 16.1 12.5  16.0
[12,] 13.3 14.4 14.5 15.9 17.5 18.2 18.4 20.4 16.2  19.6
> 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] 13.64167 13.45000 13.55833 14.36667 15.72500 17.02500 17.88333 19.15833
 [9] 14.93333 17.10000
> arr.sd
 [1] 1.042251 1.126943 1.222857 1.227217 1.172507 1.308799 1.113417 1.501792
 [9] 1.802692 1.593167
> arr.range
 [1] 3.9 3.6 5.1 3.9 3.7 4.7 3.6 4.5 7.2 4.6
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
     0.6666       0.0411  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -1.1922         0.5277  

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

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

Coefficients:
(Intercept)     arr.mean  
    4.85537     -0.02393  

> postscript(file="/var/www/rcomp/tmp/17w7c1293202892.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/rcomp/tmp/27w7c1293202892.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/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/rcomp/tmp/3ten01293202892.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/4wf461293202892.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/rcomp/tmp/5hf2c1293202892.tab") 
> 
> try(system("convert tmp/17w7c1293202892.ps tmp/17w7c1293202892.png",intern=TRUE))
character(0)
> try(system("convert tmp/27w7c1293202892.ps tmp/27w7c1293202892.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.540   0.470   0.972