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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Type 'demo()' for some demos, 'help()' for on-line help, or
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> x <- c(00.521505,00.424828,00.425031,00.477194,00.828021,00.615619,00.366627,00.430888,00.281029,00.464625,00.269395,00.577905,00.566115,00.507758,00.750718,00.680840,00.766109,00.456147,00.497750,00.419327,00.609551,00.457337,00.570548,00.347900,00.387499,00.582429,00.239103,00.236745,00.262616,00.424093,00.365275,00.375076,00.409006,00.389168,00.240261,00.158950,00.439337,00.509468,00.374347,00.433983,00.413056,00.328893,00.518665,00.548650,00.546911,00.496349,00.530893,00.595776,00.557058,00.573133,00.500542,00.543127,00.559366,00.691169,00.440349,00.567666,00.596911,00.473554,00.592394,00.597556,00.633413,00.605712,00.704611,00.480526,00.702686,00.700902,00.603085,00.698092,00.597656,00.802342,00.601711,00.599313,00.602563,00.701663,00.499571,00.498092,00.497569,00.600183,00.333954,00.274437,00.320943,00.540667,00.405021,00.288596,00.327594,00.313261,00.257556,00.213839,00.186186,00.159271)
> 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] 90
> (np <- floor(n / par1))
[1] 7
> 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]
 [1,] 0.521505 0.566115 0.387499 0.439337 0.557058 0.633413 0.602563
 [2,] 0.424828 0.507758 0.582429 0.509468 0.573133 0.605712 0.701663
 [3,] 0.425031 0.750718 0.239103 0.374347 0.500542 0.704611 0.499571
 [4,] 0.477194 0.680840 0.236745 0.433983 0.543127 0.480526 0.498092
 [5,] 0.828021 0.766109 0.262616 0.413056 0.559366 0.702686 0.497569
 [6,] 0.615619 0.456147 0.424093 0.328893 0.691169 0.700902 0.600183
 [7,] 0.366627 0.497750 0.365275 0.518665 0.440349 0.603085 0.333954
 [8,] 0.430888 0.419327 0.375076 0.548650 0.567666 0.698092 0.274437
 [9,] 0.281029 0.609551 0.409006 0.546911 0.596911 0.597656 0.320943
[10,] 0.464625 0.457337 0.389168 0.496349 0.473554 0.802342 0.540667
[11,] 0.269395 0.570548 0.240261 0.530893 0.592394 0.601711 0.405021
[12,] 0.577905 0.347900 0.158950 0.595776 0.597556 0.599313 0.288596
> 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] 0.4735556 0.5525083 0.3391851 0.4780273 0.5577354 0.6441708 0.4636049
> arr.sd
[1] 0.15250633 0.13076411 0.11548206 0.07978177 0.06523770 0.08216516 0.13856934
> arr.range
[1] 0.558626 0.418209 0.423479 0.266883 0.250820 0.321816 0.427226
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
     0.1807      -0.1427  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -2.7141        -0.6444  

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

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

Coefficients:
(Intercept)     arr.mean  
     0.6061      -0.4490  

> postscript(file="/var/www/html/rcomp/tmp/1br9e1293628629.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/html/rcomp/tmp/23iqh1293628629.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/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/37i751293628629.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/4a1ob1293628629.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5w2mh1293628629.tab") 
> 
> try(system("convert tmp/1br9e1293628629.ps tmp/1br9e1293628629.png",intern=TRUE))
character(0)
> try(system("convert tmp/23iqh1293628629.ps tmp/23iqh1293628629.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.502   0.286   1.097