R version 2.10.1 (2009-12-14)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(1.2638,1.2640,1.2261,1.1989,1.2000,1.2146,1.2266,1.2191,1.2224,1.2507,1.2997,1.3406,1.3123,1.3013,1.3185,1.2943,1.2697,1.2155,1.2041,1.2295,1.2234,1.2022,1.1789,1.1861,1.2126,1.1940,1.2028,1.2273,1.2767,1.2661,1.2681,1.2810,1.2722,1.2617,1.2888,1.3205,1.2993,1.3080,1.3246,1.3513,1.3518,1.3421,1.3726,1.3626,1.3910,1.4233,1.4683,1.4559,1.4728,1.4759,1.5520,1.5754,1.5554,1.5562,1.5759,1.4955,1.4342,1.3266,1.2744,1.3511,1.3244,1.2797,1.3050,1.3199,1.3646,1.4014,1.4092,1.4266,1.4575,1.4821,1.4908,1.4579,1.4266,1.3680,1.3570,1.3417,1.2563,1.2223,1.2811,1.2903,1.3103,1.3901,1.3654,1.3221)
> 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] 84
> (np <- floor(n / par1))
[1] 7
> 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]
 [1,] 1.2638 1.3123 1.2126 1.2993 1.4728 1.3244 1.4266
 [2,] 1.2640 1.3013 1.1940 1.3080 1.4759 1.2797 1.3680
 [3,] 1.2261 1.3185 1.2028 1.3246 1.5520 1.3050 1.3570
 [4,] 1.1989 1.2943 1.2273 1.3513 1.5754 1.3199 1.3417
 [5,] 1.2000 1.2697 1.2767 1.3518 1.5554 1.3646 1.2563
 [6,] 1.2146 1.2155 1.2661 1.3421 1.5562 1.4014 1.2223
 [7,] 1.2266 1.2041 1.2681 1.3726 1.5759 1.4092 1.2811
 [8,] 1.2191 1.2295 1.2810 1.3626 1.4955 1.4266 1.2903
 [9,] 1.2224 1.2234 1.2722 1.3910 1.4342 1.4575 1.3103
[10,] 1.2507 1.2022 1.2617 1.4233 1.3266 1.4821 1.3901
[11,] 1.2997 1.1789 1.2888 1.4683 1.2744 1.4908 1.3654
[12,] 1.3406 1.1861 1.3205 1.4559 1.3511 1.4579 1.3221
> 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] 1.243875 1.244650 1.255983 1.370900 1.470450 1.393258 1.327600
> arr.sd
[1] 0.04244237 0.05139904 0.03839320 0.05455471 0.10388097 0.07309650 0.05868737
> arr.range
[1] 0.1417 0.1396 0.1265 0.1690 0.3015 0.2111 0.2043
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    -0.2493       0.2329  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       -4.199          4.736  

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

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

Coefficients:
(Intercept)     arr.mean  
    -0.6682       0.6416  

> postscript(file="/var/yougetitorg/rcomp/tmp/17kmk1304873236.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/yougetitorg/rcomp/tmp/2ttec1304873236.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/yougetitorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/yougetitorg/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/yougetitorg/rcomp/tmp/3i87y1304873236.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/yougetitorg/rcomp/tmp/4z1261304873236.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/yougetitorg/rcomp/tmp/5dnee1304873236.tab") 
> 
> try(system("convert tmp/17kmk1304873236.ps tmp/17kmk1304873236.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ttec1304873236.ps tmp/2ttec1304873236.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.570   0.310   0.808