R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(70.5,70.65,70.71,15.80,170.99,15.26,17.21,16.97,16.80,18.37,18.53,18.708,18.73,18.63,19.15,19.76,20.02,20.26,20.32,20.52,20.81,21.26,22.15,23.05,270.01,270.69,70.38,26.33,27.36,28.55,30.10,32.20,36.28,700.91,7070.66,707.83,709.97,52.20,55.67,59.92,65.15,70.17,770.6,78.23,79.27,80.707,81.701,83.97,86.83,89.61,91.79,970.32,96.56,97.98,100.00,101.63,102.60,103.75,106.39,109.02,110.81,112.57,1170.93,118.13,120.7,122.707,127.97,127.87)
> 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] 68
> (np <- floor(n / par1))
[1] 17
> 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]
[1,] 70.50 170.99 16.800 18.73 20.02 20.81 270.01 27.36   36.28 709.97  65.15
[2,] 70.65  15.26 18.370 18.63 20.26 21.26 270.69 28.55  700.91  52.20  70.17
[3,] 70.71  17.21 18.530 19.15 20.32 22.15  70.38 30.10 7070.66  55.67 770.60
[4,] 15.80  16.97 18.708 19.76 20.52 23.05  26.33 32.20  707.83  59.92  78.23
      [,12]  [,13]  [,14]  [,15]   [,16]   [,17]
[1,] 79.270  86.83  96.56 102.60  110.81 120.700
[2,] 80.707  89.61  97.98 103.75  112.57 122.707
[3,] 81.701  91.79 100.00 106.39 1170.93 127.970
[4,] 83.970 970.32 101.63 109.02  118.13 127.870
> 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]   56.9150   55.1075   18.1020   19.0675   20.2800   21.8175  159.3525
 [8]   29.5525 2128.9200  219.4400  246.0375   81.4120  309.6375   99.0425
[15]  105.4400  378.1100  124.8118
> arr.sd
 [1]   27.4101423   77.2598785    0.8789099    0.5137039    0.2059126
 [6]    0.9925514  129.4246402    2.0913373 3309.5138488  327.0352386
[11]  349.7498338    1.9758605  440.4596773    2.2288768    2.8659263
[16]  528.5558736    3.6816616
> arr.range
 [1]   54.910  155.730    1.908    1.130    0.500    2.240  244.360    4.840
 [9] 7034.380  657.770  705.450    4.700  883.490    5.070    6.420 1060.120
[17]    7.270
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    -74.196        1.588  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       -6.392          2.015  

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

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

Coefficients:
(Intercept)     arr.mean  
   -170.933        3.372  

> postscript(file="/var/www/html/freestat/rcomp/tmp/1t6em1274900879.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/html/freestat/rcomp/tmp/2t6em1274900879.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/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/3xocs1274900879.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/freestat/rcomp/tmp/40pty1274900879.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/freestat/rcomp/tmp/5m7al1274900879.tab") 
> 
> try(system("convert tmp/1t6em1274900879.ps tmp/1t6em1274900879.png",intern=TRUE))
character(0)
> try(system("convert tmp/2t6em1274900879.ps tmp/2t6em1274900879.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.768   0.436   0.891