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(10.93,10.92,10.89,10.94,10.98,10.99,11.02,11.04,11.05,11.05,11.02,10.91,11.01,11.02,11.03,11.04,11.06,11.08,11.06,11.06,11.09,11.07,11.06,11.08,11.08,11.08,11.11,11.09,11.08,11.05,11.07,11.06,11.06,11.07,11.02,11.01,11.04,11.02,11.03,11.17,11.19,11.15,11.13,11.06,11.01,11.03,10.99,10.94,11,11.06,11.06,11.05,11.04,11.15,11.2,11.16,11.3,11.23,11.25,11.25,11.12,11.14,11.17,11.25,11.27,11.34,11.39,11.44,11.46,11.49,11.51,11.48,11.49,11.52,11.56,11.58,11.58,11.58,11.6,11.62,11.62,11.64,11.67,11.66,11.72,11.82,11.9,12.04,12.08,12.15,12.19,12.22,12.23,12.25,12.26,12.27,12.34,12.38,12.42,12.43,12.48,12.5,12.5,12.49,12.46,12.45,12.45,12.38,12.42,12.37,12.35,12.35,12.36,12.32,12.32,12.34,12.35,12.34,12.31,12.24)
> par1 = '12'
> 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]  [,9] [,10]
 [1,] 10.93 11.01 11.08 11.04 11.00 11.12 11.49 11.72 12.34 12.42
 [2,] 10.92 11.02 11.08 11.02 11.06 11.14 11.52 11.82 12.38 12.37
 [3,] 10.89 11.03 11.11 11.03 11.06 11.17 11.56 11.90 12.42 12.35
 [4,] 10.94 11.04 11.09 11.17 11.05 11.25 11.58 12.04 12.43 12.35
 [5,] 10.98 11.06 11.08 11.19 11.04 11.27 11.58 12.08 12.48 12.36
 [6,] 10.99 11.08 11.05 11.15 11.15 11.34 11.58 12.15 12.50 12.32
 [7,] 11.02 11.06 11.07 11.13 11.20 11.39 11.60 12.19 12.50 12.32
 [8,] 11.04 11.06 11.06 11.06 11.16 11.44 11.62 12.22 12.49 12.34
 [9,] 11.05 11.09 11.06 11.01 11.30 11.46 11.62 12.23 12.46 12.35
[10,] 11.05 11.07 11.07 11.03 11.23 11.49 11.64 12.25 12.45 12.34
[11,] 11.02 11.06 11.02 10.99 11.25 11.51 11.67 12.26 12.45 12.31
[12,] 10.91 11.08 11.01 10.94 11.25 11.48 11.66 12.27 12.38 12.24
> 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] 10.97833 11.05500 11.06500 11.06333 11.14583 11.33833 11.59333 12.09417
 [9] 12.44000 12.33917
> arr.sd
 [1] 0.05828353 0.02504541 0.02812311 0.07831560 0.10094628 0.14402230
 [7] 0.05365434 0.18715372 0.05187397 0.04231018
> arr.range
 [1] 0.16 0.08 0.10 0.25 0.30 0.39 0.18 0.55 0.16 0.18
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -0.09784      0.01519  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       -8.013          2.151  

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

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

Coefficients:
(Intercept)     arr.mean  
    -0.4579       0.0602  

> postscript(file="/var/wessaorg/rcomp/tmp/1mfjb1323611047.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/2zvg91323611047.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/3piu21323611047.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/42ge41323611047.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5akv11323611047.tab") 
> 
> try(system("convert tmp/1mfjb1323611047.ps tmp/1mfjb1323611047.png",intern=TRUE))
character(0)
> try(system("convert tmp/2zvg91323611047.ps tmp/2zvg91323611047.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.673   0.109   0.777