R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(3469648.00
+ ,3456726.00
+ ,3443622.00
+ ,3416504.00
+ ,3684772.00
+ ,3670576.00
+ ,3469648.00
+ ,3336060.00
+ ,3348982.00
+ ,3348982.00
+ ,3363360.00
+ ,3389204.00
+ ,3429426.00
+ ,3429426.00
+ ,3403582.00
+ ,3336060.00
+ ,3684772.00
+ ,3737916.00
+ ,3657654.00
+ ,3469648.00
+ ,3550092.00
+ ,3429426.00
+ ,3483844.00
+ ,3509870.00
+ ,3536988.00
+ ,3469648.00
+ ,3483844.00
+ ,3389204.00
+ ,3684772.00
+ ,3778138.00
+ ,3697876.00
+ ,3550092.00
+ ,3710798.00
+ ,3536988.00
+ ,3697876.00
+ ,3684772.00
+ ,3724994.00
+ ,3577210.00
+ ,3737916.00
+ ,3724994.00
+ ,3966144.00
+ ,3911726.00
+ ,3697876.00
+ ,3590132.00
+ ,3737916.00
+ ,3536988.00
+ ,3684772.00
+ ,3710798.00
+ ,3765216.00
+ ,3644732.00
+ ,3710798.00
+ ,3751020.00
+ ,3898804.00
+ ,3778138.00
+ ,3617432.00
+ ,3443622.00
+ ,3604510.00
+ ,3162250.00
+ ,3376282.00
+ ,3496766.00
+ ,3617432.00
+ ,3443622.00
+ ,3443622.00
+ ,3443622.00
+ ,3536988.00
+ ,3403582.00
+ ,3228498.00
+ ,3081988.00
+ ,3188276.00
+ ,2773316.00
+ ,3027570.00
+ ,3175354.00
+ ,3202472.00
+ ,3054688.00
+ ,3067610.00
+ ,3027570.00
+ ,3162250.00
+ ,3067610.00
+ ,2881060.00
+ ,2746198.00
+ ,2974244.00
+ ,2479022.00
+ ,2800616.00
+ ,2947126.00
+ ,2947126.00
+ ,2773316.00
+ ,2612610.00
+ ,2599688.00
+ ,2746198.00
+ ,2612610.00
+ ,2358538.00
+ ,2183454.00
+ ,2371460.00
+ ,1929382.00
+ ,2331238.00
+ ,2545088.00
+ ,2612610.00
+ ,2464826.00
+ ,2278094.00
+ ,2411682.00
+ ,2464826.00
+ ,2424604.00
+ ,2022566.00
+ ,1836016.00
+ ,1969422.00
+ ,1567566.00
+ ,1982526.00
+ ,2130310.00
+ ,2250794.00
+ ,2049866.00
+ ,1861860.00
+ ,1969422.00
+ ,2022566.00
+ ,1916278.00
+ ,1514422.00
+ ,1339338.00
+ ,1500044.00
+ ,1057966.00
+ ,1540266.00
+ ,1836016.00)
> 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,] 3469648 3429426 3536988 3724994 3765216 3617432 3202472 2947126 2612610
 [2,] 3456726 3429426 3469648 3577210 3644732 3443622 3054688 2773316 2464826
 [3,] 3443622 3403582 3483844 3737916 3710798 3443622 3067610 2612610 2278094
 [4,] 3416504 3336060 3389204 3724994 3751020 3443622 3027570 2599688 2411682
 [5,] 3684772 3684772 3684772 3966144 3898804 3536988 3162250 2746198 2464826
 [6,] 3670576 3737916 3778138 3911726 3778138 3403582 3067610 2612610 2424604
 [7,] 3469648 3657654 3697876 3697876 3617432 3228498 2881060 2358538 2022566
 [8,] 3336060 3469648 3550092 3590132 3443622 3081988 2746198 2183454 1836016
 [9,] 3348982 3550092 3710798 3737916 3604510 3188276 2974244 2371460 1969422
[10,] 3348982 3429426 3536988 3536988 3162250 2773316 2479022 1929382 1567566
[11,] 3363360 3483844 3697876 3684772 3376282 3027570 2800616 2331238 1982526
[12,] 3389204 3509870 3684772 3710798 3496766 3175354 2947126 2545088 2130310
        [,10]
 [1,] 2250794
 [2,] 2049866
 [3,] 1861860
 [4,] 1969422
 [5,] 2022566
 [6,] 1916278
 [7,] 1514422
 [8,] 1339338
 [9,] 1500044
[10,] 1057966
[11,] 1540266
[12,] 1836016
> 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] 3449840 3510143 3601750 3716789 3604131 3280322 2950872 2500892 2180421
[10] 1738236
> arr.sd
 [1] 116909.3 124048.6 121675.9 124490.6 205006.2 244422.5 201007.4 280159.2
 [9] 312835.3 346222.4
> arr.range
 [1]  348712  401856  388934  429156  736554  844116  723450 1017744 1045044
[10] 1192828
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
  5.532e+05   -1.132e-01  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       32.820         -1.386  

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

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

Coefficients:
(Intercept)     arr.mean  
  1.929e+06   -3.983e-01  

> postscript(file="/var/wessaorg/rcomp/tmp/1h53t1438966493.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/226a81438966493.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/3wt631438966493.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4hae81438966493.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5l21s1438966493.tab") 
> 
> try(system("convert tmp/1h53t1438966493.ps tmp/1h53t1438966493.png",intern=TRUE))
character(0)
> try(system("convert tmp/226a81438966493.ps tmp/226a81438966493.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.912   0.175   1.085