R version 2.10.1 (2009-12-14)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(3592.21,5955.74,4652.25,4211.65,4787.85,3599.73,4174.27,5106.33,5325.75,6604.61,5711.90,6919.30,7048.76,8655.98,6658.53,7247.03,8779.57,6602.49,9832.48,9369.49,8582.76,8206.94,6515.83,8618.10,8505.39,9881.64,9375.29,15642.50,12232.73,6288.93,12473.94,11142.82,10236.32,10581.51,8763.71,10819.04,11636.25,14650.13,10671.38,17468.63,13873.19,13077.58,16866.81,14186.64,19919.87,17681.78,9984.28,17423.09,13514.45,12334.57,12274.56,11752.23,13054.00,12460.98,8626.68,13722.62,12066.22,6798.83,6593.82,6606.19,6315.28,7232.95,6747.44,7803.61,6700.31,5369.53,8081.19,10718.39,9447.21,6815.10,5497.80,6805.31)
> 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] 72
> (np <- floor(n / par1))
[1] 6
> 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]
 [1,] 3592.21 7048.76  8505.39 11636.25 13514.45  6315.28
 [2,] 5955.74 8655.98  9881.64 14650.13 12334.57  7232.95
 [3,] 4652.25 6658.53  9375.29 10671.38 12274.56  6747.44
 [4,] 4211.65 7247.03 15642.50 17468.63 11752.23  7803.61
 [5,] 4787.85 8779.57 12232.73 13873.19 13054.00  6700.31
 [6,] 3599.73 6602.49  6288.93 13077.58 12460.98  5369.53
 [7,] 4174.27 9832.48 12473.94 16866.81  8626.68  8081.19
 [8,] 5106.33 9369.49 11142.82 14186.64 13722.62 10718.39
 [9,] 5325.75 8582.76 10236.32 19919.87 12066.22  9447.21
[10,] 6604.61 8206.94 10581.51 17681.78  6798.83  6815.10
[11,] 5711.90 6515.83  8763.71  9984.28  6593.82  5497.80
[12,] 6919.30 8618.10 10819.04 17423.09  6606.19  6805.31
> 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]  5053.466  8009.830 10495.318 14786.636 10817.096  7294.510
> arr.sd
[1] 1094.355 1146.616 2341.496 3122.642 2809.040 1544.875
> arr.range
[1] 3327.09 3316.65 9353.57 9935.59 7128.80 5348.86
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
  -224.3371       0.2374  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       -2.561          1.109  

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

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

Coefficients:
(Intercept)     arr.mean  
   -664.819        0.751  

> postscript(file="/var/www/rcomp/tmp/1ikz31273934287.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/rcomp/tmp/2stgn1273934287.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/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/33lxr1273934287.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/4p3wf1273934287.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/53dt51273934287.tab") 
> 
> try(system("convert tmp/1ikz31273934287.ps tmp/1ikz31273934287.png",intern=TRUE))
character(0)
> try(system("convert tmp/2stgn1273934287.ps tmp/2stgn1273934287.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.600   0.460   1.326