R version 2.12.2 (2011-02-25)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: x86_64-redhat-linux-gnu (64-bit)

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> x <- c(112,118,129,99,116,168,118,129,205,147,150,267,126,129,124,97,102,127,222,214,118,141,154,226,89,77,82,97,127,121,117,117,106,112,134,169,75,108,115,85,101,108,109,124,105,95,135,164,88,85,112,87,91,87,87,142,95,108,139,159,61,82,124,93,108,75,87,103,90,108,123,129,57,65,67,71,76,67,110,118,99,85,107,141,58,65,70,86,93,74,87,73,101,100,96,157,63,115,70,66,67,83,79,77,102,116,100,135,71,60,89,74,73,91,86,74,87,87,109,137,43,69,73,77,69,76,78,70,83,65,110,132,54,55,66,65,60,65,96,55,71,63,74,106,34,47,56,53,53,55,67,52,46,51,58,91,33,40,46,45,41,55,57,54,46,52,48,77,30,35,42,48,44,45,0,0,46,51,63,84,30,39,45,52,28,40,62)
> 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] 187
> (np <- floor(n / par1))
[1] 46
> 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] [,13] [,14]
[1,]  112  116  205  126  102  118   89  127  106    75   101   105    88    91
[2,]  118  168  147  129  127  141   77  121  112   108   108    95    85    87
[3,]  129  118  150  124  222  154   82  117  134   115   109   135   112    87
[4,]   99  129  267   97  214  226   97  117  169    85   124   164    87   142
     [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26]
[1,]    95    61   108    90    57    76    99    58    93   101    63    67
[2,]   108    82    75   108    65    67    85    65    74   100   115    83
[3,]   139   124    87   123    67   110   107    70    87    96    70    79
[4,]   159    93   103   129    71   118   141    86    73   157    66    77
     [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [,38]
[1,]   102    71    73    87    43    69    83    54    60    71    34    53
[2,]   116    60    91    87    69    76    65    55    65    63    47    55
[3,]   100    89    86   109    73    78   110    66    96    74    56    67
[4,]   135    74    74   137    77    70   132    65    55   106    53    52
     [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46]
[1,]    46    33    41    46    30    44    46    30
[2,]    51    40    55    52    35    45    51    39
[3,]    58    46    57    48    42     0    63    45
[4,]    91    45    54    77    48     0    84    52
> 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] 114.50 132.75 192.25 119.00 166.25 159.75  86.25 120.50 130.25  95.75
[11] 110.50 124.75  93.00 101.75 125.25  90.00  93.25 112.50  65.00  92.75
[21] 108.00  69.75  81.75 113.50  78.50  76.50 113.25  73.50  81.00 105.00
[31]  65.50  73.25  97.50  60.00  69.00  78.50  47.50  56.75  61.50  41.00
[41]  51.75  55.75  38.75  22.25  61.00  41.50
> arr.sd
 [1] 12.503333 24.185050 56.517696 14.809907 60.709005 46.607403  8.693868
 [8]  4.725816 28.500000 18.856917  9.678154 31.202297 12.727922 26.899504
[15] 29.101833 26.267851 15.107945 17.406895  5.887841 25.024988 23.804761
[22] 11.898879  9.844626 29.080348 24.501701  6.806859 16.152915 11.958261
[29]  8.906926 23.720596 15.351439  4.425306 29.512709  6.377042 18.457158
[36] 18.912077  9.746794  6.946222 20.273135  5.944185  7.274384 14.384598
[43]  7.889867 25.695330 16.911535  9.327379
> arr.range
 [1]  30  52 120  32 120 108  20  10  63  40  23  69  27  55  64  63  33  39  14
[20]  51  56  28  20  61  52  16  35  29  18  50  34   9  67  12  41  43  22  15
[39]  45  13  16  31  18  45  38  22
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    -4.2728       0.2546  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -0.7853         0.7947  

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

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

Coefficients:
(Intercept)     arr.mean  
    -9.0293       0.5507  

> postscript(file="/var/www/wessaorg/rcomp/tmp/1d1n11304684114.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/wessaorg/rcomp/tmp/2za411304684114.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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/www/wessaorg/rcomp/tmp/3sem51304684114.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/wessaorg/rcomp/tmp/46xys1304684114.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/wessaorg/rcomp/tmp/5uhkj1304684115.tab") 
> 
> try(system("convert tmp/1d1n11304684114.ps tmp/1d1n11304684114.png",intern=TRUE))
character(0)
> try(system("convert tmp/2za411304684114.ps tmp/2za411304684114.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.460   0.210   1.707