R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(14.36,14.62,13.51,14.95,16.72,16.33,15.21,16.69,15.81,16.02,16.7,15.99,17.68,18.89,18.72,21.14,20.97,23.75,23.05,23.45,21.74,19.37,21.1,21.2,22.67,22.24,23.78,23.27,25.74,26.1,27.49,31.41,28.79,26.76,26.41,27.05,29.43,32.1,36.84,34.22,36.53,40.99,45.97,43.6,47.84,51.47,51.31,48.47,48.28,46.56,43.83,51.17,49.59,49.11,49.97,50.07,53.3,57.08,68.54,71.62,67.64,64.79,80.97,88.42,110.22,99,95.95,107.94,97.82,111.64,114.73,117.58,99.19,90.19,59.74,44.51,23.94,21.29,20.77,25.07,32.95,40.05,44.59,40.28,41.19,38.14,41.85,43.76,50.16,52.94,47.69,51.52,58.69,50.44,45.72,43.24,51.49,50.43,58.73,65.12,64.13)
> par1 = '12'
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 101
> (np <- floor(n / par1))
[1] 8
> 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,] 14.36 17.68 22.67 29.43 48.28  67.64 99.19 41.19
 [2,] 14.62 18.89 22.24 32.10 46.56  64.79 90.19 38.14
 [3,] 13.51 18.72 23.78 36.84 43.83  80.97 59.74 41.85
 [4,] 14.95 21.14 23.27 34.22 51.17  88.42 44.51 43.76
 [5,] 16.72 20.97 25.74 36.53 49.59 110.22 23.94 50.16
 [6,] 16.33 23.75 26.10 40.99 49.11  99.00 21.29 52.94
 [7,] 15.21 23.05 27.49 45.97 49.97  95.95 20.77 47.69
 [8,] 16.69 23.45 31.41 43.60 50.07 107.94 25.07 51.52
 [9,] 15.81 21.74 28.79 47.84 53.30  97.82 32.95 58.69
[10,] 16.02 19.37 26.76 51.47 57.08 111.64 40.05 50.44
[11,] 16.70 21.10 26.41 51.31 68.54 114.73 44.59 45.72
[12,] 15.99 21.20 27.05 48.47 71.62 117.58 40.28 43.24
> 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] 15.57583 20.92167 25.97583 41.56417 53.26000 96.39167 45.21417 47.11167
> arr.sd
[1]  1.044104  1.945666  2.676478  7.642435  8.527160 17.781696 25.898028
[8]  5.874193
> arr.range
[1]  3.21  6.07  9.17 22.04 27.79 52.79 78.42 20.55
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    -0.4033       0.2156  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       -4.314          1.666  

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

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

Coefficients:
(Intercept)     arr.mean  
    -0.2820       0.6424  

> postscript(file="/var/www/html/rcomp/tmp/1glel1293202694.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/www/html/rcomp/tmp/2glel1293202694.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/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/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/www/html/rcomp/tmp/3k3dr1293202694.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/4n4bx1293202694.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/www/html/rcomp/tmp/5qmrl1293202694.tab") 
> 
> try(system("convert tmp/1glel1293202694.ps tmp/1glel1293202694.png",intern=TRUE))
character(0)
> try(system("convert tmp/2glel1293202694.ps tmp/2glel1293202694.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.520   0.299   1.151