R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(426.113
+ ,383.703
+ ,232.444
+ ,70.939
+ ,226.731
+ ,947.293
+ ,611.281
+ ,158.047
+ ,33.999
+ ,37.028
+ ,388.3
+ ,506.652
+ ,392.25
+ ,180.818
+ ,198.296
+ ,217.465
+ ,275.562
+ ,1030.944
+ ,57.47
+ ,136.452
+ ,556.277
+ ,213.361
+ ,274.482
+ ,220.553
+ ,236.71
+ ,260.642
+ ,2763.544
+ ,213.923
+ ,169.861
+ ,403.064
+ ,449.594
+ ,406.167
+ ,206.893
+ ,156.187
+ ,257.102
+ ,62.156
+ ,662.883
+ ,251.422
+ ,171.328
+ ,350.089
+ ,221.588
+ ,4.813
+ ,183.186
+ ,190.379
+ ,223.166
+ ,232.669
+ ,356.725
+ ,109.215
+ ,475.834
+ ,315.955
+ ,694.87
+ ,8.95
+ ,278.741
+ ,308.16
+ ,207.533
+ ,192.797
+ ,601.162
+ ,289.714
+ ,293.671
+ ,386.688
+ ,699.645
+ ,85.094
+ ,131.812
+ ,645.285
+ ,197.549
+ ,308.174
+ ,86.58
+ ,242.205
+ ,238.502
+ ,187.881
+ ,140.321
+ ,440.31
+ ,421.403
+ ,218.761
+ ,1305.923
+ ,137.55
+ ,262.517
+ ,348.821
+ ,150.034
+ ,64.016
+ ,261.596
+ ,259.7
+ ,171.26
+ ,203.077
+ ,249.148
+ ,211.655
+ ,252.64
+ ,438.555
+ ,239.89
+ ,401.915
+ ,216.886
+ ,184.641
+ ,380.155
+ ,653.641
+ ,313.906
+ ,366.936
+ ,236.302
+ ,229.641
+ ,235.577
+ ,103.898
+ ,263.906
+ ,241.171
+ ,216.548
+ ,295.281
+ ,193.299
+ ,204.386
+ ,257.567
+ ,136.813
+ ,240.755
+ ,59.609
+ ,213.511
+ ,380.531
+ ,242.344
+ ,250.407
+ ,183.613
+ ,191.835
+ ,266.793
+ ,246.542
+ ,330.563
+ ,403.556
+ ,208.108
+ ,324.04
+ ,308.532
+ ,199.297
+ ,200.156
+ ,262.875
+ ,287.069
+ ,190.157
+ ,199.746
+ ,265.777
+ ,435.956
+ ,72.844
+ ,756.46
+ ,206.771
+ ,4202.361
+ ,401.422
+ ,216.046
+ ,39.047
+ ,441.437)
> 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] 139
> (np <- floor(n / par1))
[1] 11
> 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,] 426.113  392.250  236.710 662.883 475.834 699.645  421.403 249.148
 [2,] 383.703  180.818  260.642 251.422 315.955  85.094  218.761 211.655
 [3,] 232.444  198.296 2763.544 171.328 694.870 131.812 1305.923 252.640
 [4,]  70.939  217.465  213.923 350.089   8.950 645.285  137.550 438.555
 [5,] 226.731  275.562  169.861 221.588 278.741 197.549  262.517 239.890
 [6,] 947.293 1030.944  403.064   4.813 308.160 308.174  348.821 401.915
 [7,] 611.281   57.470  449.594 183.186 207.533  86.580  150.034 216.886
 [8,] 158.047  136.452  406.167 190.379 192.797 242.205   64.016 184.641
 [9,]  33.999  556.277  206.893 223.166 601.162 238.502  261.596 380.155
[10,]  37.028  213.361  156.187 232.669 289.714 187.881  259.700 653.641
[11,] 388.300  274.482  257.102 356.725 293.671 140.321  171.260 313.906
[12,] 506.652  220.553   62.156 109.215 386.688 440.310  203.077 366.936
         [,9]   [,10]   [,11]
 [1,] 236.302 240.755 208.108
 [2,] 229.641  59.609 324.040
 [3,] 235.577 213.511 308.532
 [4,] 103.898 380.531 199.297
 [5,] 263.906 242.344 200.156
 [6,] 241.171 250.407 262.875
 [7,] 216.548 183.613 287.069
 [8,] 295.281 191.835 190.157
 [9,] 193.299 266.793 199.746
[10,] 204.386 246.542 265.777
[11,] 257.567 330.563 435.956
[12,] 136.813 403.556  72.844
> 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] 335.2108 312.8275 465.4869 246.4553 337.8396 283.6132 317.0548 325.8307
 [9] 217.8657 250.8382 246.2131
> arr.sd
 [1] 269.15383 259.10474 732.51442 161.72492 184.27819 206.96413 325.73733
 [8] 132.87063  53.40204  91.90338  90.15406
> arr.range
 [1]  913.294  973.474 2701.388  658.070  685.920  614.551 1241.907  469.000
 [9]  191.383  343.947  363.112
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -528.663        2.493  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -12.015          3.021  

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

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

Coefficients:
(Intercept)     arr.mean  
  -1930.789        9.102  

> postscript(file="/var/wessaorg/rcomp/tmp/1927f1380896833.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/2wazj1380896833.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/3b30x1380896833.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4g4up1380896833.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/53d8w1380896833.tab") 
> 
> try(system("convert tmp/1927f1380896833.ps tmp/1927f1380896833.png",intern=TRUE))
character(0)
> try(system("convert tmp/2wazj1380896833.ps tmp/2wazj1380896833.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.019   0.567   2.551