R version 3.1.0 (2014-04-10) -- "Spring Dance"
Copyright (C) 2014 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(71.97
+ ,72.32
+ ,74.07
+ ,77.95
+ ,81.75
+ ,80.81
+ ,74.1
+ ,71.37
+ ,75.21
+ ,76.9
+ ,74.44
+ ,74.76
+ ,76.23
+ ,76.97
+ ,78.4
+ ,78.6
+ ,80.08
+ ,81.12
+ ,80.31
+ ,84.59
+ ,81.34
+ ,80.95
+ ,80.48
+ ,75.26
+ ,76.32
+ ,78.92
+ ,80.47
+ ,83.14
+ ,85.42
+ ,81.53
+ ,87.31
+ ,86.01
+ ,85.1
+ ,79.91
+ ,78.6
+ ,78.6
+ ,79.37
+ ,82.89
+ ,84.43
+ ,85.32
+ ,87.71
+ ,84.68
+ ,80.62
+ ,84.79
+ ,85.49
+ ,81.68
+ ,77.69
+ ,78.31
+ ,79.18
+ ,80.91
+ ,83.91
+ ,86.3
+ ,89.76
+ ,85.11
+ ,83.81
+ ,85.36
+ ,85.89
+ ,82.59
+ ,80.87
+ ,80.27
+ ,81.36
+ ,84.81
+ ,90.3
+ ,95.43
+ ,97.59
+ ,97.8
+ ,99.48
+ ,97.52
+ ,104.39
+ ,97.74
+ ,91.37
+ ,92.42
+ ,96.9
+ ,101.58
+ ,105.46
+ ,110.06
+ ,107.9
+ ,102.87
+ ,96.28
+ ,98.59
+ ,103.22
+ ,98.6
+ ,91.79
+ ,93.83
+ ,95.17
+ ,95.19
+ ,99.44
+ ,109.18
+ ,109.15
+ ,109.72
+ ,108.41
+ ,102.96
+ ,107.64
+ ,97.28
+ ,97.25
+ ,91.84
+ ,94.12
+ ,97.86
+ ,98.83
+ ,102.29
+ ,104.49
+ ,102.11
+ ,102.14
+ ,101.28
+ ,101.21
+ ,94.2
+ ,88.47
+ ,88.08
+ ,88.02
+ ,92.95
+ ,97.05
+ ,101.44
+ ,100.34
+ ,99.98
+ ,94.17
+ ,94.54
+ ,95.12
+ ,98.04
+ ,93.72
+ ,93.83
+ ,93.03
+ ,95.81
+ ,99.1
+ ,100.12
+ ,100.67
+ ,103.87
+ ,102.39
+ ,107.21
+ ,105.71
+ ,99.79
+ ,96.12
+ ,96.17
+ ,97.23
+ ,98.08
+ ,99.84
+ ,99.72
+ ,99.92
+ ,102.7
+ ,102.06
+ ,102.36
+ ,102.43
+ ,100.6
+ ,98.4
+ ,98.61
+ ,103.03
+ ,104.7
+ ,107.45
+ ,109.67
+ ,110.54
+ ,112.05
+ ,113.19
+ ,114.2
+ ,112.56
+ ,107.36
+ ,103.93
+ ,103.83
+ ,104.74
+ ,107.5
+ ,109.53
+ ,109.42
+ ,108.6
+ ,110.72
+ ,105.1
+ ,105.19
+ ,102.55
+ ,101.25
+ ,101.56
+ ,101.62
+ ,101.7
+ ,102.94
+ ,104.37
+ ,106.93
+ ,107.82
+ ,110.83
+ ,106.86
+ ,109.46
+ ,108.8
+ ,108.69
+ ,107.77
+ ,108.64
+ ,108.5
+ ,113.84
+ ,114.59
+ ,116.27
+ ,113.63
+ ,112.29
+ ,110.31
+ ,108.47
+ ,110.67
+ ,109.1
+ ,107.02
+ ,108.12
+ ,106.69
+ ,109.87
+ ,110.82
+ ,114.14
+ ,113.31
+ ,115.16
+ ,111.06
+ ,111.13
+ ,115.96
+ ,117.57
+ ,114.69
+ ,119.42
+ ,118.4
+ ,123.32
+ ,123.39
+ ,127.04
+ ,129.35
+ ,127.12
+ ,122.1
+ ,120.22
+ ,121.53
+ ,119.01
+ ,114.27
+ ,114.46)
> 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] 216
> (np <- floor(n / par1))
[1] 18
> 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]  [,11]
 [1,] 71.97 76.23 76.32 79.37 79.18  81.36  96.90  95.17  94.12  88.02  93.03
 [2,] 72.32 76.97 78.92 82.89 80.91  84.81 101.58  95.19  97.86  92.95  95.81
 [3,] 74.07 78.40 80.47 84.43 83.91  90.30 105.46  99.44  98.83  97.05  99.10
 [4,] 77.95 78.60 83.14 85.32 86.30  95.43 110.06 109.18 102.29 101.44 100.12
 [5,] 81.75 80.08 85.42 87.71 89.76  97.59 107.90 109.15 104.49 100.34 100.67
 [6,] 80.81 81.12 81.53 84.68 85.11  97.80 102.87 109.72 102.11  99.98 103.87
 [7,] 74.10 80.31 87.31 80.62 83.81  99.48  96.28 108.41 102.14  94.17 102.39
 [8,] 71.37 84.59 86.01 84.79 85.36  97.52  98.59 102.96 101.28  94.54 107.21
 [9,] 75.21 81.34 85.10 85.49 85.89 104.39 103.22 107.64 101.21  95.12 105.71
[10,] 76.90 80.95 79.91 81.68 82.59  97.74  98.60  97.28  94.20  98.04  99.79
[11,] 74.44 80.48 78.60 77.69 80.87  91.37  91.79  97.25  88.47  93.72  96.12
[12,] 74.76 75.26 78.60 78.31 80.27  92.42  93.83  91.84  88.08  93.83  96.17
       [,12]  [,13]  [,14]  [,15]  [,16]  [,17]  [,18]
 [1,]  97.23 103.03 104.74 101.70 108.50 106.69 118.40
 [2,]  98.08 104.70 107.50 102.94 113.84 109.87 123.32
 [3,]  99.84 107.45 109.53 104.37 114.59 110.82 123.39
 [4,]  99.72 109.67 109.42 106.93 116.27 114.14 127.04
 [5,]  99.92 110.54 108.60 107.82 113.63 113.31 129.35
 [6,] 102.70 112.05 110.72 110.83 112.29 115.16 127.12
 [7,] 102.06 113.19 105.10 106.86 110.31 111.06 122.10
 [8,] 102.36 114.20 105.19 109.46 108.47 111.13 120.22
 [9,] 102.43 112.56 102.55 108.80 110.67 115.96 121.53
[10,] 100.60 107.36 101.25 108.69 109.10 117.57 119.01
[11,]  98.40 103.93 101.56 107.77 107.02 114.69 114.27
[12,]  98.61 103.83 101.62 108.64 108.12 119.42 114.46
> 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]  75.47083  79.52750  81.77750  82.74833  83.66333  94.18417 100.59000
 [8] 101.93583  97.92333  95.76667  99.99917 100.16250 108.54250 105.64833
[15] 107.06750 111.06750 113.31833 121.68417
> arr.sd
 [1] 3.311156 2.577099 3.543070 3.188986 3.049350 6.471304 5.585852 6.631113
 [9] 5.518383 3.790244 4.290104 1.883252 4.028736 3.442757 2.734158 2.988366
[17] 3.569952 4.767503
> arr.range
 [1] 10.38  9.33 10.99 10.02 10.58 23.03 18.27 17.88 16.41 13.42 14.18  5.47
[13] 11.17  9.47  9.13  9.25 12.73 15.08
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    1.90182      0.02109  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -1.1838         0.5485  

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

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

Coefficients:
(Intercept)     arr.mean  
    7.99610      0.04705  

> postscript(file="/var/wessaorg/rcomp/tmp/1fbct1398699176.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/2ianc1398699176.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/303wo1398699176.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4211h1398699176.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5hiwm1398699176.tab") 
> 
> try(system("convert tmp/1fbct1398699176.ps tmp/1fbct1398699176.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ianc1398699176.ps tmp/2ianc1398699176.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.638   0.326   1.968