R version 3.2.3 (2015-12-10) -- "Wooden Christmas-Tree"
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> x <- c(62239.3,64816.6,62625.3,67923,64363.7,67342,64411.2,69174.5,66290.2,69336.8,66712.2,72225.9,68229.5,71096.3,68407.9,74522.4,71798.4,75074.3,72694.6,78789.4,74814.5,78303.2,75431.6,82600.7,78830.5,82168.1,79493.2,86876.6,83478.5,87003.2,83672.7,90914.2,86448,90577.7,86621.1,91418.5,84275.4,87677.9,85149.6,92600,87111.3,92293.9,89060,97281.6,91812,95980.4,92043.7,100079.2,94384.8,97900.5,93630.8,102255.2,95251.8,100001.8,95689.8,104298,97435.1,101220.2,97537,105834.9)
> par1 = '4'
> par1 <- '4'
> #'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] 60
> (np <- floor(n / par1))
[1] 15
> 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,] 62239.3 64363.7 66290.2 68229.5 71798.4 74814.5 78830.5 83478.5 86448.0
[2,] 64816.6 67342.0 69336.8 71096.3 75074.3 78303.2 82168.1 87003.2 90577.7
[3,] 62625.3 64411.2 66712.2 68407.9 72694.6 75431.6 79493.2 83672.7 86621.1
[4,] 67923.0 69174.5 72225.9 74522.4 78789.4 82600.7 86876.6 90914.2 91418.5
       [,10]   [,11]    [,12]    [,13]    [,14]    [,15]
[1,] 84275.4 87111.3  91812.0  94384.8  95251.8  97435.1
[2,] 87677.9 92293.9  95980.4  97900.5 100001.8 101220.2
[3,] 85149.6 89060.0  92043.7  93630.8  95689.8  97537.0
[4,] 92600.0 97281.6 100079.2 102255.2 104298.0 105834.9
> 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]  64401.05  66322.85  68641.27  70564.02  74589.18  77787.50  81842.10
 [8]  86267.15  88766.32  87425.73  91436.70  94978.82  97042.82  98810.35
[15] 100506.80
> arr.sd
 [1] 2607.890 2356.781 2743.609 2946.802 3122.770 3550.673 3653.288 3494.977
 [9] 2600.752 3739.073 4444.301 3901.312 3941.720 4240.085 3964.536
> arr.range
 [1]  5683.7  4810.8  5935.7  6292.9  6991.0  7786.2  8046.1  7435.7  4970.5
[10]  8324.6 10170.3  8267.2  8624.4  9046.2  8399.8
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
  -169.3834       0.0431  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       -3.945          1.066  

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

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

Coefficients:
(Intercept)     arr.mean  
 -307.52484      0.09236  

> postscript(file="/var/wessaorg/rcomp/tmp/12u801451037014.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/21cmp1451037014.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/39nvp1451037014.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4egnv1451037014.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5r5da1451037014.tab") 
> 
> try(system("convert tmp/12u801451037014.ps tmp/12u801451037014.png",intern=TRUE))
character(0)
> try(system("convert tmp/21cmp1451037014.ps tmp/21cmp1451037014.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.888   0.172   1.060