R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(588264,577918,567562,546859,756344,745987,588264,483527,493873,493873,504229,526055,462824,399492,347630,347630,546859,567562,409838,231412,325803,325803,399492,442021,431664,325803,378790,357986,536412,493873,325803,200263,315447,347630,378790,420195,336150,263595,294755,305101,577918,577918,420195,399492,462824,431664,515709,620447,641250,493873,452367,409838,694135,714939,661953,714939,704481,620447,714939,819676,862205,735641,651596,714939,987746,1071790,1051088,1092483,1082137,977399,1155825,1198354,1260562,1071790,998102,1082137,1282389,1460814,1418286,1418286,1439089,1366423,1555307,1555307,1523124,1344597,1376780,1397583,1534503,1712929,1586355,1649698,1596712,1565653,1807421,1754435,1680746,1576009,1680746,1733732,1796963,1880998,1796963,1848826,1785585,1775239,2037699,2059525,1975491,1828123,1953664,2006549,2069882,2164273,2069882,2143570,2111388,1996193,2237951,2237951)
> par1 = '12'
> par1 <- '12'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P. (2012), Standard Deviation-Mean Plot (v1.0.6) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_smp.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 120
> (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]
 [1,] 588264 462824 431664 336150 641250  862205 1260562 1523124 1680746
 [2,] 577918 399492 325803 263595 493873  735641 1071790 1344597 1576009
 [3,] 567562 347630 378790 294755 452367  651596  998102 1376780 1680746
 [4,] 546859 347630 357986 305101 409838  714939 1082137 1397583 1733732
 [5,] 756344 546859 536412 577918 694135  987746 1282389 1534503 1796963
 [6,] 745987 567562 493873 577918 714939 1071790 1460814 1712929 1880998
 [7,] 588264 409838 325803 420195 661953 1051088 1418286 1586355 1796963
 [8,] 483527 231412 200263 399492 714939 1092483 1418286 1649698 1848826
 [9,] 493873 325803 315447 462824 704481 1082137 1439089 1596712 1785585
[10,] 493873 325803 347630 431664 620447  977399 1366423 1565653 1775239
[11,] 504229 399492 378790 515709 714939 1155825 1555307 1807421 2037699
[12,] 526055 442021 420195 620447 819676 1198354 1555307 1754435 2059525
        [,10]
 [1,] 1975491
 [2,] 1828123
 [3,] 1953664
 [4,] 2006549
 [5,] 2069882
 [6,] 2164273
 [7,] 2069882
 [8,] 2143570
 [9,] 2111388
[10,] 1996193
[11,] 2237951
[12,] 2237951
> 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]  572729.6  400530.5  376054.7  433814.0  636903.1  965100.2 1325707.7
 [8] 1570815.8 1804419.2 2066243.1
> arr.sd
 [1]  91553.56  95521.85  88117.83 120490.47 123031.38 181972.14 188917.20
 [8] 147550.58 140262.78 121618.87
> arr.range
 [1] 272817 336150 336149 356852 409838 546758 557205 462824 483516 409828
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
  1.023e+05    2.720e-02  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       8.0888         0.2678  

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

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

Coefficients:
(Intercept)     arr.mean  
  3.296e+05    8.623e-02  

> postscript(file="/var/wessaorg/rcomp/tmp/1g0bg1343750610.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/wessaorg/rcomp/tmp/2cfif1343750610.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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/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/wessaorg/rcomp/tmp/3qvfv1343750610.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4u3wc1343750610.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/wessaorg/rcomp/tmp/5pjwj1343750610.tab") 
> 
> try(system("convert tmp/1g0bg1343750610.ps tmp/1g0bg1343750610.png",intern=TRUE))
character(0)
> try(system("convert tmp/2cfif1343750610.ps tmp/2cfif1343750610.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.980   0.217   1.187