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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> x <- c(211868,229527,229139,198563,195722,202196,205816,212588,214320,220375,204442,206903,214126,226899,223532,195309,186005,188906,191563,189226,186413,178037,166827,169362,174330,187069,186530,158114,151001,159612,161914,164182,169701,171297,166444,173476,182516,202388,202300,168053,167302,172608,178106,185686,194581,194596,197922,208795,230580,240636,240048,211457,211142,214771,212610,219313,219277,231805,229245,241114,248624,265845,256446,219452,217142,221678,227184,230354,235243,237217,233575,244460,243324,260307,241476,203666,200237,204045,209465,213586,216234,213188,208679,217859,227247,243477,232571,191531,186029,189733,190420,194163,198770,195198,193111,195411,202108,215706,206348,166972,166070,169292,175041,177876,181140,179566,175335,184128,189917,194690,179612,150605,150569,153745,155511,159044,163095,159585,158644,166618,176512,200765,182698,153730,156145,161570,165688,173666,180144)
> 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] 129
> (np <- floor(n / par1))
[1] 10
> 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]
 [1,] 211868 214126 174330 182516 230580 248624 243324 227247 202108 189917
 [2,] 229527 226899 187069 202388 240636 265845 260307 243477 215706 194690
 [3,] 229139 223532 186530 202300 240048 256446 241476 232571 206348 179612
 [4,] 198563 195309 158114 168053 211457 219452 203666 191531 166972 150605
 [5,] 195722 186005 151001 167302 211142 217142 200237 186029 166070 150569
 [6,] 202196 188906 159612 172608 214771 221678 204045 189733 169292 153745
 [7,] 205816 191563 161914 178106 212610 227184 209465 190420 175041 155511
 [8,] 212588 189226 164182 185686 219313 230354 213586 194163 177876 159044
 [9,] 214320 186413 169701 194581 219277 235243 216234 198770 181140 163095
[10,] 220375 178037 171297 194596 231805 237217 213188 195198 179566 159585
[11,] 204442 166827 166444 197922 229245 233575 208679 193111 175335 158644
[12,] 206903 169362 173476 208795 241114 244460 217859 195411 184128 166618
> 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] 210954.9 193017.1 168639.2 187904.4 225166.5 236435.0 219338.8 203138.4
 [9] 183298.5 165136.2
> arr.sd
 [1] 10982.26 19367.36 10858.59 14224.22 11772.14 15044.01 18785.96 19462.28
 [9] 16167.21 14952.25
> arr.range
 [1] 33805 60072 36068 41493 29972 48703 60070 57448 49636 44121
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
  1.300e+04    1.084e-02  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       7.5371         0.1695  

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

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

Coefficients:
(Intercept)     arr.mean  
  4.059e+04    2.786e-02  

> postscript(file="/var/www/html/rcomp/tmp/13bgu1291970612.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/23bgu1291970612.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/36bei1291970612.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/423cq1291970612.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/56mbw1291970612.tab") 
> 
> try(system("convert tmp/13bgu1291970612.ps tmp/13bgu1291970612.png",intern=TRUE))
character(0)
> try(system("convert tmp/23bgu1291970612.ps tmp/23bgu1291970612.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.510   0.301   4.868