R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(193590,193745,193885,194040,194190,194345,194495,194650,194805,194955,195110,195260,195415,195570,195710,195865,196015,196170,196320,196475,196630,196780,196935,197085,197240,197395,197540,197695,197845,198000,198150,198305,198460,198610,198765,198915,199070,199225,199365,199520,199670,199825,199975,200130,200285,200435,200590,200740,200895,201050,201190,201345,201495,201650,201800,201955,202110,202260,202415,202565,202720,202875,203015,203170,203320,203475,203625,203780,203935,204085,204240,204390,204545,204700,204845,205000,205150,205305,205455,205610,205765,205915,206070,206220,206375,206530,206670,206825,206975,207130,207280,207435,207590,207740,207895,208045,208200,208355,208495,208650,208800,208955,209105,209260,209415,209565,209720,209870)
> par1 = '12'
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 108
> (np <- floor(n / par1))
[1] 9
> 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]
 [1,] 193590 195415 197240 199070 200895 202720 204545 206375 208200
 [2,] 193745 195570 197395 199225 201050 202875 204700 206530 208355
 [3,] 193885 195710 197540 199365 201190 203015 204845 206670 208495
 [4,] 194040 195865 197695 199520 201345 203170 205000 206825 208650
 [5,] 194190 196015 197845 199670 201495 203320 205150 206975 208800
 [6,] 194345 196170 198000 199825 201650 203475 205305 207130 208955
 [7,] 194495 196320 198150 199975 201800 203625 205455 207280 209105
 [8,] 194650 196475 198305 200130 201955 203780 205610 207435 209260
 [9,] 194805 196630 198460 200285 202110 203935 205765 207590 209415
[10,] 194955 196780 198610 200435 202260 204085 205915 207740 209565
[11,] 195110 196935 198765 200590 202415 204240 206070 207895 209720
[12,] 195260 197085 198915 200740 202565 204390 206220 208045 209870
> 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] 194422.5 196247.5 198076.7 199902.5 201727.5 203552.5 205381.7 207207.5
[9] 209032.5
> arr.sd
[1] 548.4089 548.4089 549.6624 548.4089 548.4089 548.4089 549.6624 548.4089
[9] 548.4089
> arr.range
[1] 1670 1670 1675 1670 1670 1670 1675 1670 1670
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
  5.487e+02    1.624e-08  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
    6.3062157      0.0001075  

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

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

Coefficients:
(Intercept)     arr.mean  
  1.671e+03    6.477e-08  

> postscript(file="/var/wessaorg/rcomp/tmp/17qtu1439767551.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/2qjaz1439767551.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/3gbmt1439767551.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/475m71439767551.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/52csi1439767551.tab") 
> 
> try(system("convert tmp/17qtu1439767551.ps tmp/17qtu1439767551.png",intern=TRUE))
character(0)
> try(system("convert tmp/2qjaz1439767551.ps tmp/2qjaz1439767551.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.862   0.175   1.041