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(329.6
+ ,327.2
+ ,326.3
+ ,315.4
+ ,308.6
+ ,302.6
+ ,295.6
+ ,291.5
+ ,288.1
+ ,281.1
+ ,282.4
+ ,284.9
+ ,274.2
+ ,265.7
+ ,259.7
+ ,253.7
+ ,249.5
+ ,244.6
+ ,243
+ ,239.2
+ ,235.7
+ ,231.1
+ ,226.7
+ ,221.7
+ ,219.4
+ ,214.2
+ ,211.7
+ ,207.7
+ ,204.7
+ ,201.2
+ ,199.9
+ ,197.8
+ ,195.2
+ ,194.3
+ ,192.8
+ ,188.5
+ ,183.2
+ ,181.4
+ ,180.5
+ ,180.2
+ ,179.2
+ ,177.1
+ ,174.2
+ ,172.1
+ ,171.1
+ ,169.8
+ ,169.5
+ ,165.5
+ ,167.2
+ ,167.6
+ ,171.8
+ ,175.9
+ ,180
+ ,184.9
+ ,184.6
+ ,187.6
+ ,191.5
+ ,195.5
+ ,201.6
+ ,203.5
+ ,209.1
+ ,217.1
+ ,227.6
+ ,237.2
+ ,245.6
+ ,253.2
+ ,260.5
+ ,266.1
+ ,273
+ ,280.8
+ ,284.4
+ ,288.5
+ ,284.8
+ ,288.9
+ ,299.6
+ ,307.8
+ ,311.4
+ ,322
+ ,317.8
+ ,319.1
+ ,322.3
+ ,323.1
+ ,322.8
+ ,325
+ ,323.2
+ ,318.8
+ ,328.2
+ ,329.2
+ ,326.5
+ ,330.1
+ ,323.8
+ ,321.8
+ ,319.6
+ ,315.5
+ ,310.7
+ ,306.5
+ ,295.1
+ ,288
+ ,293.9
+ ,289.3
+ ,287.4
+ ,282.6
+ ,276.9
+ ,272.7
+ ,267.9
+ ,262.8
+ ,256.6
+ ,250.7
+ ,243.2
+ ,235.1
+ ,229.6
+ ,222.9
+ ,217.6
+ ,214.1
+ ,210.8
+ ,208
+ ,202.6
+ ,199
+ ,195.5
+ ,192.1
+ ,189.4
+ ,182.4
+ ,179.2
+ ,176.5
+ ,174
+ ,171.7
+ ,169.8
+ ,168.3
+ ,166.4
+ ,165.9
+ ,166.4
+ ,170.6
+ ,177.6
+ ,183.4
+ ,191.9
+ ,201.7
+ ,210.6
+ ,221.6
+ ,232.2
+ ,240.4
+ ,248.4
+ ,258.5
+ ,265
+ ,271.7
+ ,273.9
+ ,277.8
+ ,273.4
+ ,270.9
+ ,268.3
+ ,264.7
+ ,264.1
+ ,264.5
+ ,262.2
+ ,258.6
+ ,259.4
+ ,262.7
+ ,264.9
+ ,260.5
+ ,256.4
+ ,254.7
+ ,254.8
+ ,255.3
+ ,256.8
+ ,258.7
+ ,259.8
+ ,261.7
+ ,264.7
+ ,269.1
+ ,279
+ ,283.4
+ ,285.5
+ ,288.2
+ ,292.1
+ ,295.6
+ ,302.4
+ ,308.5
+ ,314.1
+ ,319.8
+ ,329.7
+ ,339.7)
> 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] 180
> (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] [,10] [,11] [,12]
 [1,] 329.6 274.2 219.4 183.2 167.2 209.1 284.8 323.2 295.1 243.2 189.4 177.6
 [2,] 327.2 265.7 214.2 181.4 167.6 217.1 288.9 318.8 288.0 235.1 182.4 183.4
 [3,] 326.3 259.7 211.7 180.5 171.8 227.6 299.6 328.2 293.9 229.6 179.2 191.9
 [4,] 315.4 253.7 207.7 180.2 175.9 237.2 307.8 329.2 289.3 222.9 176.5 201.7
 [5,] 308.6 249.5 204.7 179.2 180.0 245.6 311.4 326.5 287.4 217.6 174.0 210.6
 [6,] 302.6 244.6 201.2 177.1 184.9 253.2 322.0 330.1 282.6 214.1 171.7 221.6
 [7,] 295.6 243.0 199.9 174.2 184.6 260.5 317.8 323.8 276.9 210.8 169.8 232.2
 [8,] 291.5 239.2 197.8 172.1 187.6 266.1 319.1 321.8 272.7 208.0 168.3 240.4
 [9,] 288.1 235.7 195.2 171.1 191.5 273.0 322.3 319.6 267.9 202.6 166.4 248.4
[10,] 281.1 231.1 194.3 169.8 195.5 280.8 323.1 315.5 262.8 199.0 165.9 258.5
[11,] 282.4 226.7 192.8 169.5 201.6 284.4 322.8 310.7 256.6 195.5 166.4 265.0
[12,] 284.9 221.7 188.5 165.5 203.5 288.5 325.0 306.5 250.7 192.1 170.6 271.7
      [,13] [,14] [,15]
 [1,] 273.9 264.9 279.0
 [2,] 277.8 260.5 283.4
 [3,] 273.4 256.4 285.5
 [4,] 270.9 254.7 288.2
 [5,] 268.3 254.8 292.1
 [6,] 264.7 255.3 295.6
 [7,] 264.1 256.8 302.4
 [8,] 264.5 258.7 308.5
 [9,] 262.2 259.8 314.1
[10,] 258.6 261.7 319.8
[11,] 259.4 264.7 329.7
[12,] 262.7 269.1 339.7
> 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] 302.7750 245.4000 202.2833 175.3167 184.3083 253.5917 312.0500 321.1583
 [9] 276.9917 214.2083 173.3833 225.2500 266.7083 259.7833 303.1667
> arr.sd
 [1] 18.244208 15.916030  9.436952  5.705951 12.333064 26.642975 13.961538
 [8]  7.376555 14.880827 16.113036  7.289823 32.436918  6.111756  4.608655
[15] 19.434100
> arr.range
 [1] 48.5 52.5 30.9 17.7 36.3 79.4 40.2 23.6 44.4 51.1 23.5 94.1 19.2 14.4 60.7
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    8.41222      0.02269  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -0.8140         0.6014  

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

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

Coefficients:
(Intercept)     arr.mean  
   28.81974      0.05495  

> postscript(file="/var/wessaorg/rcomp/tmp/1odmk1398688098.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/28e5l1398688098.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/3lkrk1398688098.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4pfrq1398688098.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5kjoq1398688098.tab") 
> 
> try(system("convert tmp/1odmk1398688098.ps tmp/1odmk1398688098.png",intern=TRUE))
character(0)
> try(system("convert tmp/28e5l1398688098.ps tmp/28e5l1398688098.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.635   0.295   1.922