R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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.

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Type 'contributors()' for more information and
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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(24.90
+ ,25.06
+ ,25.10
+ ,24.92
+ ,25.46
+ ,25.89
+ ,25.39
+ ,25.38
+ ,25.25
+ ,24.88
+ ,25.00
+ ,25.00
+ ,24.07
+ ,23.60
+ ,23.18
+ ,23.25
+ ,23.04
+ ,22.77
+ ,22.25
+ ,22.41
+ ,22.50
+ ,22.91
+ ,22.88
+ ,21.69
+ ,21.19
+ ,21.56
+ ,22.00
+ ,22.13
+ ,22.27
+ ,22.30
+ ,21.94
+ ,22.40
+ ,22.77
+ ,22.90
+ ,23.03
+ ,23.05
+ ,22.41
+ ,22.26
+ ,21.90
+ ,22.01
+ ,22.62
+ ,22.76
+ ,23.40
+ ,23.63
+ ,24.05
+ ,23.82
+ ,23.71
+ ,23.95
+ ,23.61
+ ,23.98
+ ,23.56
+ ,23.99
+ ,24.33
+ ,24.48
+ ,24.31
+ ,24.38
+ ,24.63
+ ,25.54
+ ,25.75
+ ,25.73
+ ,25.85
+ ,25.78
+ ,25.86
+ ,26.86
+ ,27.36
+ ,27.38
+ ,26.58
+ ,27.65
+ ,27.73
+ ,27.18
+ ,27.32
+ ,27.30
+ ,26.90
+ ,26.70
+ ,26.75
+ ,26.41
+ ,26.29
+ ,27.51
+ ,27.91
+ ,27.70
+ ,27.28
+ ,28.25
+ ,27.62
+ ,27.30
+ ,25.94
+ ,24.99
+ ,25.50
+ ,24.42
+ ,26.58
+ ,25.84
+ ,26.76
+ ,26.74
+ ,26.68
+ ,25.55
+ ,26.40
+ ,25.19
+ ,23.94
+ ,24.20
+ ,24.20
+ ,23.07
+ ,24.07
+ ,25.02
+ ,24.65
+ ,24.68
+ ,24.63
+ ,24.49
+ ,25.05
+ ,24.31
+ ,23.90
+ ,23.68
+ ,24.50
+ ,25.22
+ ,25.48
+ ,26.00
+ ,26.07
+ ,26.06
+ ,26.22
+ ,26.70
+ ,27.20
+ ,26.77
+ ,26.11
+ ,25.43
+ ,24.99
+ ,25.51
+ ,24.00
+ ,23.86
+ ,22.96
+ ,23.41
+ ,23.17
+ ,24.12
+ ,23.87
+ ,24.27
+ ,24.40
+ ,24.16
+ ,25.15
+ ,25.09
+ ,24.60
+ ,24.33
+ ,24.14
+ ,24.36
+ ,25.40
+ ,26.15
+ ,26.77
+ ,26.94
+ ,26.33
+ ,26.24
+ ,26.23
+ ,25.88
+ ,27.00
+ ,26.91
+ ,27.15
+ ,27.78
+ ,28.73
+ ,28.83
+ ,28.68
+ ,27.56
+ ,27.15
+ ,27.41
+ ,27.47
+ ,28.76
+ ,28.47
+ ,27.94
+ ,27.23
+ ,27.01
+ ,26.15
+ ,26.11
+ ,27.20
+ ,27.36
+ ,27.33
+ ,27.43
+ ,28.92
+ ,29.45
+ ,29.01
+ ,29.25
+ ,29.14
+ ,29.64
+ ,30.40
+ ,30.62
+ ,31.25
+ ,31.75
+ ,31.30
+ ,30.70
+ ,31.03
+ ,31.46
+ ,31.28
+ ,31.03
+ ,30.95
+ ,31.17
+ ,31.29
+ ,31.91
+ ,32.10
+ ,31.71
+ ,31.90
+ ,32.02
+ ,32.65
+ ,33.77
+ ,33.51
+ ,34.26
+ ,34.21
+ ,34.13
+ ,34.73
+ ,34.73
+ ,34.57
+ ,34.80
+ ,33.98
+ ,34.40
+ ,34.21
+ ,34.61
+ ,35.25
+ ,35.23
+ ,35.00
+ ,34.52
+ ,33.82
+ ,34.35
+ ,34.81
+ ,34.96
+ ,36.69
+ ,36.42
+ ,36.44
+ ,37.41
+ ,36.40
+ ,36.15
+ ,35.78
+ ,36.95
+ ,36.14
+ ,36.36
+ ,37.31
+ ,37.58
+ ,38.00
+ ,37.23
+ ,37.00
+ ,37.87
+ ,37.70
+ ,36.17
+ ,36.56
+ ,37.70
+ ,38.77
+ ,39.02
+ ,39.88
+ ,39.56
+ ,38.52
+ ,37.20
+ ,38.58
+ ,39.41
+ ,39.08
+ ,38.81
+ ,38.73
+ ,38.70
+ ,39.23
+ ,39.82
+ ,39.97
+ ,40.37
+ ,39.54
+ ,39.21
+ ,39.07
+ ,39.78
+ ,39.40
+ ,38.92)
> 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] 258
> (np <- floor(n / par1))
[1] 21
> 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,] 24.90 24.07 21.19 22.41 23.61 25.85 26.90 25.94 23.94 23.90 26.11 24.40
 [2,] 25.06 23.60 21.56 22.26 23.98 25.78 26.70 24.99 24.20 23.68 25.43 24.16
 [3,] 25.10 23.18 22.00 21.90 23.56 25.86 26.75 25.50 24.20 24.50 24.99 25.15
 [4,] 24.92 23.25 22.13 22.01 23.99 26.86 26.41 24.42 23.07 25.22 25.51 25.09
 [5,] 25.46 23.04 22.27 22.62 24.33 27.36 26.29 26.58 24.07 25.48 24.00 24.60
 [6,] 25.89 22.77 22.30 22.76 24.48 27.38 27.51 25.84 25.02 26.00 23.86 24.33
 [7,] 25.39 22.25 21.94 23.40 24.31 26.58 27.91 26.76 24.65 26.07 22.96 24.14
 [8,] 25.38 22.41 22.40 23.63 24.38 27.65 27.70 26.74 24.68 26.06 23.41 24.36
 [9,] 25.25 22.50 22.77 24.05 24.63 27.73 27.28 26.68 24.63 26.22 23.17 25.40
[10,] 24.88 22.91 22.90 23.82 25.54 27.18 28.25 25.55 24.49 26.70 24.12 26.15
[11,] 25.00 22.88 23.03 23.71 25.75 27.32 27.62 26.40 25.05 27.20 23.87 26.77
[12,] 25.00 21.69 23.05 23.95 25.73 27.30 27.30 25.19 24.31 26.77 24.27 26.94
      [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21]
 [1,] 26.33 27.15 27.33 31.30 31.90 33.98 36.69 38.00 38.52
 [2,] 26.24 27.41 27.43 30.70 32.02 34.40 36.42 37.23 37.20
 [3,] 26.23 27.47 28.92 31.03 32.65 34.21 36.44 37.00 38.58
 [4,] 25.88 28.76 29.45 31.46 33.77 34.61 37.41 37.87 39.41
 [5,] 27.00 28.47 29.01 31.28 33.51 35.25 36.40 37.70 39.08
 [6,] 26.91 27.94 29.25 31.03 34.26 35.23 36.15 36.17 38.81
 [7,] 27.15 27.23 29.14 30.95 34.21 35.00 35.78 36.56 38.73
 [8,] 27.78 27.01 29.64 31.17 34.13 34.52 36.95 37.70 38.70
 [9,] 28.73 26.15 30.40 31.29 34.73 33.82 36.14 38.77 39.23
[10,] 28.83 26.11 30.62 31.91 34.73 34.35 36.36 39.02 39.82
[11,] 28.68 27.20 31.25 32.10 34.57 34.81 37.31 39.88 39.97
[12,] 27.56 27.36 31.75 31.71 34.80 34.96 37.58 39.56 40.37
> 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] 25.18583 22.87917 22.29500 23.04333 24.52417 26.90417 27.21833 25.88250
 [9] 24.35917 25.65000 24.30833 25.12417 27.27667 27.35500 29.51583 31.32750
[17] 33.77333 34.59500 36.63583 37.95500 39.03500
> arr.sd
 [1] 0.3004076 0.6308934 0.5811509 0.7979329 0.7659155 0.7167155 0.6132007
 [8] 0.7729886 0.5365116 1.1294005 0.9935596 1.0021927 1.0475975 0.7850014
[15] 1.3474181 0.4092593 1.0439726 0.4677509 0.5622917 1.1595179 0.8283993
> arr.range
 [1] 1.01 2.38 1.86 2.15 2.19 1.95 1.96 2.34 1.98 3.52 3.15 2.80 2.95 2.65 4.42
[16] 1.40 2.90 1.43 1.80 3.71 3.17
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   0.607844     0.006266  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -0.9839         0.2039  

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

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

Coefficients:
(Intercept)     arr.mean  
    1.58356      0.03104  

> postscript(file="/var/www/rcomp/tmp/174e91324641542.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/rcomp/tmp/21tvj1324641542.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/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/rcomp/tmp/3xsfw1324641542.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/4hydk1324641542.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/rcomp/tmp/5wb051324641542.tab") 
> 
> try(system("convert tmp/174e91324641542.ps tmp/174e91324641542.png",intern=TRUE))
character(0)
> try(system("convert tmp/21tvj1324641542.ps tmp/21tvj1324641542.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.060   0.120   1.168