R version 2.13.0 (2011-04-13)
Copyright (C) 2011 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(34671,34355,34035,33373,39924,39577,34671,31409,31724,31724,32075,32706,34671,34035,35017,36631,45813,45813,43853,41888,43502,45466,45813,46795,49742,47777,47777,50724,58893,59555,57911,53982,56928,56928,57244,58893,60191,60853,60853,62817,70355,72315,72630,67724,70355,69373,67408,71653,72630,70986,71333,73613,82133,86372,86372,84412,87355,84412,82764,89004,89981,87670,93559,95870,102741,107301,106670,106319,108950,108630,104706,110594,112559,110594,118763,122692,131839,135448,134470,132505,134150,136114,129559,134785,138079,136750,145265,148207,160652,162932,159990,161634,162616,163598,157358,163247,166509,163247,172749,175692,188451,190416,191047,194340,194340,195638,189749,192696,194656,191047,201527,203491,216567,218878,222140,225087,225402,225749,219860,225749)
> 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] 120
> (np <- floor(n / par1))
[1] 30
> 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]
[1,] 34671 39924 31724 34671 45813 43502 49742 58893 56928 60191 70355 70355
[2,] 34355 39577 31724 34035 45813 45466 47777 59555 56928 60853 72315 69373
[3,] 34035 34671 32075 35017 43853 45813 47777 57911 57244 60853 72630 67408
[4,] 33373 31409 32706 36631 41888 46795 50724 53982 58893 62817 67724 71653
     [,13] [,14] [,15] [,16]  [,17]  [,18]  [,19]  [,20]  [,21]  [,22]  [,23]
[1,] 72630 82133 87355 89981 102741 108950 112559 131839 134150 138079 160652
[2,] 70986 86372 84412 87670 107301 108630 110594 135448 136114 136750 162932
[3,] 71333 86372 82764 93559 106670 104706 118763 134470 129559 145265 159990
[4,] 73613 84412 89004 95870 106319 110594 122692 132505 134785 148207 161634
      [,24]  [,25]  [,26]  [,27]  [,28]  [,29]  [,30]
[1,] 162616 166509 188451 194340 194656 216567 225402
[2,] 163598 163247 190416 195638 191047 218878 225749
[3,] 157358 172749 191047 189749 201527 222140 219860
[4,] 163247 175692 194340 192696 203491 225087 225749
> 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]  34108.50  36395.25  32057.25  35088.50  44341.75  45394.00  49005.00
 [8]  57585.25  57498.25  61178.50  70756.00  69697.25  72140.50  84822.25
[15]  85883.75  91770.00 105757.75 108220.00 116152.00 133565.50 133652.00
[22] 142075.25 161302.00 161704.75 169549.25 191063.50 193105.75 197680.25
[29] 220668.00 224190.00
> arr.sd
 [1]  554.8366 4099.2413  463.0705 1105.8311 1878.7335 1381.2084 1473.5556
 [8] 2495.3055  941.6901 1136.0368 2258.0362 1789.1708 1210.0679 2016.9135
[15] 2816.5833 3652.4440 2051.7962 2495.6677 5579.4245 1680.0187 2848.7299
[22] 5540.7931 1279.4488 2926.1774 5684.2840 2448.1379 2541.0843 5822.6109
[29] 3729.0144 2891.2976
> arr.range
 [1]  1298  8515   982  2596  3925  3293  2947  5573  1965  2626  4906  4245
[13]  2627  4239  6240  8200  4560  5888 12098  3609  6555 11457  2942  6240
[25] 12445  5889  5889 12444  8520  5889
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
  1136.9261       0.0134  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      0.08546        0.66486  

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

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

Coefficients:
(Intercept)     arr.mean  
  2.480e+03    2.956e-02  

> postscript(file="/var/wessaorg/rcomp/tmp/1k0tf1312281499.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/wessaorg/rcomp/tmp/2v0ty1312281499.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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/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/wessaorg/rcomp/tmp/3dwey1312281499.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4ysh91312281499.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/wessaorg/rcomp/tmp/5e2u21312281499.tab") 
> 
> try(system("convert tmp/1k0tf1312281499.ps tmp/1k0tf1312281499.png",intern=TRUE))
character(0)
> try(system("convert tmp/2v0ty1312281499.ps tmp/2v0ty1312281499.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.627   0.099   0.724