R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(1069.108
+ ,1059.362
+ ,1049.495
+ ,1029.082
+ ,1231.089
+ ,1220.388
+ ,1069.108
+ ,968.521
+ ,978.233
+ ,978.233
+ ,989.056
+ ,1008.514
+ ,1069.108
+ ,1049.495
+ ,1079.775
+ ,1129.547
+ ,1412.683
+ ,1412.683
+ ,1352.244
+ ,1291.65
+ ,1341.422
+ ,1401.983
+ ,1412.683
+ ,1442.964
+ ,1533.833
+ ,1473.244
+ ,1473.244
+ ,1564.114
+ ,1816.014
+ ,1836.427
+ ,1785.734
+ ,1664.578
+ ,1755.42
+ ,1755.42
+ ,1765.165
+ ,1816.014
+ ,1856.04
+ ,1876.453
+ ,1876.453
+ ,1937.014
+ ,2169.452
+ ,2229.89
+ ,2239.603
+ ,2088.322
+ ,2169.452
+ ,2139.171
+ ,2078.582
+ ,2209.478
+ ,2239.603
+ ,2188.909
+ ,2199.61
+ ,2269.916
+ ,2532.64
+ ,2663.352
+ ,2663.352
+ ,2602.913
+ ,2693.66
+ ,2602.913
+ ,2552.092
+ ,2744.509
+ ,2774.634
+ ,2703.378
+ ,2884.967
+ ,2956.228
+ ,3168.103
+ ,3308.711
+ ,3289.258
+ ,3278.43
+ ,3359.559
+ ,3349.692
+ ,3228.692
+ ,3410.253
+ ,3470.847
+ ,3410.253
+ ,3662.154
+ ,3783.309
+ ,4065.362
+ ,4176.65
+ ,4146.492
+ ,4085.897
+ ,4136.624
+ ,4197.185
+ ,3995.056
+ ,4156.204
+ ,4257.779
+ ,4216.798
+ ,4479.366
+ ,4570.08
+ ,4953.837
+ ,5024.138
+ ,4933.418
+ ,4984.117
+ ,5014.398
+ ,5044.678
+ ,4852.261
+ ,5033.856
+ ,5134.437
+ ,5033.856
+ ,5326.854
+ ,5417.607
+ ,5811.037
+ ,5871.631
+ ,5891.089
+ ,5992.631
+ ,5992.631
+ ,6032.657
+ ,5851.063
+ ,5941.938
+ ,6002.377
+ ,5891.089
+ ,6214.246
+ ,6274.812
+ ,6678.021
+ ,6749.283
+ ,6849.864
+ ,6940.739
+ ,6950.451
+ ,6961.152
+ ,6779.563
+ ,6961.152)
> par1 = '12'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> 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]
 [1,] 1069.108 1069.108 1533.833 1856.040 2239.603 2774.634 3470.847 4257.779
 [2,] 1059.362 1049.495 1473.244 1876.453 2188.909 2703.378 3410.253 4216.798
 [3,] 1049.495 1079.775 1473.244 1876.453 2199.610 2884.967 3662.154 4479.366
 [4,] 1029.082 1129.547 1564.114 1937.014 2269.916 2956.228 3783.309 4570.080
 [5,] 1231.089 1412.683 1816.014 2169.452 2532.640 3168.103 4065.362 4953.837
 [6,] 1220.388 1412.683 1836.427 2229.890 2663.352 3308.711 4176.650 5024.138
 [7,] 1069.108 1352.244 1785.734 2239.603 2663.352 3289.258 4146.492 4933.418
 [8,]  968.521 1291.650 1664.578 2088.322 2602.913 3278.430 4085.897 4984.117
 [9,]  978.233 1341.422 1755.420 2169.452 2693.660 3359.559 4136.624 5014.398
[10,]  978.233 1401.983 1755.420 2139.171 2602.913 3349.692 4197.185 5044.678
[11,]  989.056 1412.683 1765.165 2078.582 2552.092 3228.692 3995.056 4852.261
[12,] 1008.514 1442.964 1816.014 2209.478 2744.509 3410.253 4156.204 5033.856
          [,9]    [,10]
 [1,] 5134.437 6002.377
 [2,] 5033.856 5891.089
 [3,] 5326.854 6214.246
 [4,] 5417.607 6274.812
 [5,] 5811.037 6678.021
 [6,] 5871.631 6749.283
 [7,] 5891.089 6849.864
 [8,] 5992.631 6940.739
 [9,] 5992.631 6950.451
[10,] 6032.657 6961.152
[11,] 5851.063 6779.563
[12,] 5941.938 6961.152
> 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] 1054.182 1283.020 1686.601 2072.492 2496.122 3142.659 3940.503 4780.394
 [9] 5691.453 6604.396
> arr.sd
 [1]  88.03211 154.80303 138.59149 146.80536 209.58710 246.17696 284.87765
 [8] 312.47422 359.70927 397.36149
> arr.range
 [1]  262.568  393.469  363.183  383.563  555.600  706.875  786.932  827.880
 [9]  998.801 1070.063
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   60.28813      0.05299  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -0.5602         0.7465  

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

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

Coefficients:
(Intercept)     arr.mean  
   158.9627       0.1453  

> postscript(file="/var/wessaorg/rcomp/tmp/1y4ze1312904408.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/2xvss1312904408.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/3252t1312904408.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4ucr21312904408.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/51ra11312904408.tab") 
> 
> try(system("convert tmp/1y4ze1312904408.ps tmp/1y4ze1312904408.png",intern=TRUE))
character(0)
> try(system("convert tmp/2xvss1312904408.ps tmp/2xvss1312904408.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.653   0.127   0.772