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

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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.
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> x <- c(11974
+ ,10106
+ ,12069
+ ,11412
+ ,11180
+ ,10508
+ ,11288
+ ,10928
+ ,10199
+ ,11030
+ ,11234
+ ,13747
+ ,13912
+ ,12376
+ ,12264
+ ,11675
+ ,11271
+ ,10672
+ ,10933
+ ,10379
+ ,10187
+ ,10747
+ ,10970
+ ,12175
+ ,14200
+ ,11676
+ ,11258
+ ,10872
+ ,11148
+ ,10690
+ ,10684
+ ,11658
+ ,10178
+ ,10981
+ ,10773
+ ,11665
+ ,11359
+ ,10716
+ ,12928
+ ,12317
+ ,11641
+ ,10459
+ ,10953
+ ,10703
+ ,10703
+ ,11101
+ ,11334
+ ,13268
+ ,13145
+ ,12334
+ ,13153
+ ,11289
+ ,11374
+ ,10914
+ ,11299
+ ,11284
+ ,10694
+ ,11077
+ ,11104
+ ,12820
+ ,14915
+ ,11773
+ ,11608
+ ,11468
+ ,11511
+ ,11200
+ ,11164
+ ,10960
+ ,10667
+ ,11556
+ ,11372
+ ,12333
+ ,13102
+ ,11115
+ ,12572
+ ,11557
+ ,12059
+ ,11420
+ ,11185
+ ,11113
+ ,10706
+ ,11523
+ ,11391
+ ,12634
+ ,13469
+ ,11735
+ ,13281
+ ,11968
+ ,11623
+ ,11084
+ ,11509
+ ,11134
+ ,10438
+ ,11530
+ ,11491
+ ,13093
+ ,13106
+ ,11305
+ ,13113
+ ,12203
+ ,11309
+ ,11088
+ ,11234
+ ,11619
+ ,10942
+ ,11445
+ ,11291
+ ,13281
+ ,13726
+ ,11300
+ ,11983
+ ,11092
+ ,11093
+ ,10692
+ ,10786
+ ,11166
+ ,10553
+ ,11103
+ ,10969
+ ,12090
+ ,12544
+ ,12264
+ ,13783
+ ,11214
+ ,11453
+ ,10883
+ ,10381
+ ,10348
+ ,10024
+ ,10805
+ ,10796
+ ,11907
+ ,12261
+ ,11377
+ ,12689
+ ,11474
+ ,10992
+ ,10764
+ ,12164
+ ,10409
+ ,10398
+ ,10349
+ ,10865
+ ,11630
+ ,12221
+ ,10884
+ ,12019
+ ,11021
+ ,10799
+ ,10423
+ ,10484
+ ,10450
+ ,9906
+ ,11049
+ ,11281
+ ,12485
+ ,12849
+ ,11380
+ ,12079
+ ,11366
+ ,11328
+ ,10444
+ ,10854
+ ,10434
+ ,10137
+ ,10992
+ ,10906
+ ,12367
+ ,14371
+ ,11695
+ ,11546
+ ,10922
+ ,10670
+ ,10254
+ ,10573
+ ,10239
+ ,10253
+ ,11176
+ ,10719
+ ,11817)
> 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] 180
> (np <- floor(n / par1))
[1] 15
> 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,] 11974 13912 14200 11359 13145 14915 13102 13469 13106 13726 12544 12261
 [2,] 10106 12376 11676 10716 12334 11773 11115 11735 11305 11300 12264 11377
 [3,] 12069 12264 11258 12928 13153 11608 12572 13281 13113 11983 13783 12689
 [4,] 11412 11675 10872 12317 11289 11468 11557 11968 12203 11092 11214 11474
 [5,] 11180 11271 11148 11641 11374 11511 12059 11623 11309 11093 11453 10992
 [6,] 10508 10672 10690 10459 10914 11200 11420 11084 11088 10692 10883 10764
 [7,] 11288 10933 10684 10953 11299 11164 11185 11509 11234 10786 10381 12164
 [8,] 10928 10379 11658 10703 11284 10960 11113 11134 11619 11166 10348 10409
 [9,] 10199 10187 10178 10703 10694 10667 10706 10438 10942 10553 10024 10398
[10,] 11030 10747 10981 11101 11077 11556 11523 11530 11445 11103 10805 10349
[11,] 11234 10970 10773 11334 11104 11372 11391 11491 11291 10969 10796 10865
[12,] 13747 12175 11665 13268 12820 12333 12634 13093 13281 12090 11907 11630
      [,13] [,14] [,15]
 [1,] 12221 12849 14371
 [2,] 10884 11380 11695
 [3,] 12019 12079 11546
 [4,] 11021 11366 10922
 [5,] 10799 11328 10670
 [6,] 10423 10444 10254
 [7,] 10484 10854 10573
 [8,] 10450 10434 10239
 [9,]  9906 10137 10253
[10,] 11049 10992 11176
[11,] 11281 10906 10719
[12,] 12485 12367 11817
> 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] 11306.25 11463.42 11315.25 11456.83 11707.25 11710.58 11698.08 11862.92
 [9] 11828.00 11379.42 11366.83 11281.00 11085.17 11261.33 11186.25
> arr.sd
 [1]  978.9051 1067.1559 1018.3747  919.7144  896.3152 1092.0878  731.9274
 [8]  940.5687  865.6791  870.9811 1088.7752  787.5960  790.9469  821.4514
[15] 1147.9982
> arr.range
 [1] 3641 3725 4022 2809 2459 4248 2396 3031 2339 3173 3759 2340 2579 2712 4132
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
 1277.19404     -0.02990  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       9.3252        -0.2668  

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

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

Coefficients:
(Intercept)     arr.mean  
 10126.6490      -0.6081  

> postscript(file="/var/www/html/rcomp/tmp/1g90r1293609833.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/2g90r1293609833.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/329zx1293609833.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/45ax21293609833.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/58se81293609833.tab") 
> 
> try(system("convert tmp/1g90r1293609833.ps tmp/1g90r1293609833.png",intern=TRUE))
character(0)
> try(system("convert tmp/2g90r1293609833.ps tmp/2g90r1293609833.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.529   0.298   1.177