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(193.230,199.068,195.076,191.563,191.067,186.665,185.508,184.371,183.046,175.714,175.768,171.029,170.465,170.102,156.389,124.291,99.360,86.675,85.056,128.236,164.257,162.401,152.779,156.005,153.387,153.190,148.840,144.211,145.953,145.542,150.271,147.489,143.824,134.754,131.736,126.304,125.511,125.495,130.133,126.257,110.323,98.417,105.749,120.665,124.075,127.245,146.731,144.979,148.210,144.670,142.970,142.524,146.142,146.522,148.128,148.798,150.181,152.388,155.694,160.662,155.520,158.262,154.338,158.196,160.371,154.856,150.636,145.899,141.242,140.834,141.119,139.104,134.437,129.425,123.155,119.273,120.472,121.523,121.983,123.658,124.794,124.827,120.382,117.395,115.790,114.283,117.271,117.448,118.764,120.550,123.554,125.412,124.182,119.828,115.361,114.226,115.214,115.864,114.276,113.469)
> 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] 100
> (np <- floor(n / par1))
[1] 8
> 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]
 [1,] 193.230 170.465 153.387 125.511 148.210 155.520 134.437 115.790
 [2,] 199.068 170.102 153.190 125.495 144.670 158.262 129.425 114.283
 [3,] 195.076 156.389 148.840 130.133 142.970 154.338 123.155 117.271
 [4,] 191.563 124.291 144.211 126.257 142.524 158.196 119.273 117.448
 [5,] 191.067  99.360 145.953 110.323 146.142 160.371 120.472 118.764
 [6,] 186.665  86.675 145.542  98.417 146.522 154.856 121.523 120.550
 [7,] 185.508  85.056 150.271 105.749 148.128 150.636 121.983 123.554
 [8,] 184.371 128.236 147.489 120.665 148.798 145.899 123.658 125.412
 [9,] 183.046 164.257 143.824 124.075 150.181 141.242 124.794 124.182
[10,] 175.714 162.401 134.754 127.245 152.388 140.834 124.827 119.828
[11,] 175.768 152.779 131.736 146.731 155.694 141.119 120.382 115.361
[12,] 171.029 156.005 126.304 144.979 160.662 139.104 117.395 114.226
> 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] 186.0087 138.0013 143.7918 123.7983 148.9074 150.0314 123.4437 118.8891
> arr.sd
[1]  8.574435 32.282492  8.540203 14.141691  5.277436  7.928006  4.656412
[8]  3.881046
> arr.range
[1] 28.039 85.409 27.083 48.314 18.138 21.267 17.042 11.186
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   12.23604     -0.01113  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -0.8978         0.6126  

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

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

Coefficients:
(Intercept)     arr.mean  
   37.10764     -0.03565  

> postscript(file="/var/www/wessaorg/rcomp/tmp/16ro11305283524.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/258gi1305283524.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/3b0y91305283524.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/wessaorg/rcomp/tmp/411pz1305283524.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5kfj91305283524.tab") 
> 
> try(system("convert tmp/16ro11305283524.ps tmp/16ro11305283524.png",intern=TRUE))
character(0)
> try(system("convert tmp/258gi1305283524.ps tmp/258gi1305283524.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.510   0.190   1.743