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
'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(348542
+ ,335658
+ ,330664
+ ,326814
+ ,322900
+ ,322310
+ ,385164
+ ,404861
+ ,412136
+ ,411057
+ ,410040
+ ,414980
+ ,413626
+ ,411062
+ ,408352
+ ,409780
+ ,411318
+ ,415555
+ ,479481
+ ,497826
+ ,501638
+ ,497990
+ ,499287
+ ,506247
+ ,510401
+ ,508642
+ ,501805
+ ,495476
+ ,490336
+ ,490042
+ ,553155
+ ,569999
+ ,573170
+ ,571687
+ ,575453
+ ,580177
+ ,579849
+ ,574346
+ ,563325
+ ,555604
+ ,545544
+ ,545109
+ ,605181
+ ,627856
+ ,631421
+ ,625671
+ ,613577
+ ,606463
+ ,601676
+ ,589121
+ ,573559
+ ,558487
+ ,552148
+ ,545720
+ ,606569
+ ,636067
+ ,630704
+ ,623275
+ ,617771
+ ,605401
+ ,619393
+ ,596019
+ ,569977
+ ,546213
+ ,528492
+ ,505944
+ ,554910
+ ,567831
+ ,564021
+ ,552800
+ ,541102
+ ,542378
+ ,540380
+ ,521219
+ ,504652
+ ,490626
+ ,481686
+ ,477930
+ ,522605
+ ,531432
+ ,532355
+ ,539954
+ ,524987
+ ,533307
+ ,530541
+ ,508392
+ ,495208
+ ,482223
+ ,470495
+ ,466106
+ ,515037
+ ,517752
+ ,515565
+ ,510727
+ ,499725
+ ,498369
+ ,493756
+ ,476141
+ ,458458
+ ,443182
+ ,429597
+ ,424476
+ ,476257
+ ,480555
+ ,469762
+ ,459820
+ ,451028
+ ,450065
+ ,444385
+ ,428846
+ ,421020
+ ,399778
+ ,389005
+ ,384018
+ ,431933
+ ,445844
+ ,431464
+ ,423263
+ ,415881
+ ,416208
+ ,413491
+ ,399153
+ ,385939
+ ,373917
+ ,364635
+ ,364696
+ ,418358
+ ,428212
+ ,423730
+ ,420677
+ ,417428
+ ,423245
+ ,423113
+ ,418873
+ ,405733
+ ,397812
+ ,389918
+ ,391116
+ ,443814
+ ,460373
+ ,455422
+ ,456288
+ ,452233
+ ,459256
+ ,461146
+ ,451391
+ ,443101
+ ,438810
+ ,430457
+ ,435721
+ ,488280
+ ,505814
+ ,502338
+ ,500910
+ ,501434
+ ,515476
+ ,520862
+ ,519517
+ ,511805
+ ,508607
+ ,505327
+ ,511435
+ ,570158
+ ,591665
+ ,593572
+ ,586346
+ ,586063
+ ,591504
+ ,594033
+ ,585597
+ ,572450
+ ,562917
+ ,554675
+ ,553997
+ ,601310
+ ,622255
+ ,616735
+ ,606480
+ ,595079
+ ,598588
+ ,599917
+ ,591573
+ ,575489
+ ,567223
+ ,555338
+ ,555252
+ ,608249
+ ,630859
+ ,628632
+ ,624435
+ ,609670
+ ,615830
+ ,621170
+ ,604212
+ ,584348
+ ,573717
+ ,555234
+ ,544897
+ ,598866
+ ,620081
+ ,607699
+ ,589960
+ ,578665
+ ,580166
+ ,579457
+ ,571560
+ ,560460
+ ,551397
+ ,536763
+ ,540562
+ ,588184
+ ,607049
+ ,598968
+ ,577644
+ ,562640
+ ,565867
+ ,561274
+ ,554144
+ ,539900
+ ,526271
+ ,511841
+ ,505282
+ ,554083
+ ,584225
+ ,568858
+ ,539516
+ ,521612
+ ,525562
+ ,526519
+ ,515713
+ ,503454
+ ,489301
+ ,479020
+ ,475102
+ ,523682
+ ,551528
+ ,531626
+ ,511037
+ ,492417
+ ,492188
+ ,492865
+ ,480961
+ ,461935
+ ,456608
+ ,441977
+ ,439148
+ ,488180
+ ,520564
+ ,501492
+ ,485025
+ ,464196
+ ,460170
+ ,467037
+ ,460070
+ ,447988
+ ,442867
+ ,436087
+ ,431328
+ ,484015
+ ,509673
+ ,512927
+ ,502831
+ ,470984
+ ,471067
+ ,476049
+ ,474605
+ ,470439
+ ,461251
+ ,454724
+ ,455626
+ ,516847
+ ,525192
+ ,522975
+ ,518585
+ ,509239
+ ,512238
+ ,519164
+ ,517009
+ ,509933
+ ,509127
+ ,500857
+ ,506971
+ ,569323
+ ,579714
+ ,577992
+ ,565464
+ ,547344
+ ,554788
+ ,562325
+ ,560854
+ ,555332
+ ,543599
+ ,536662
+ ,542722
+ ,593530
+ ,610763
+ ,612613
+ ,611324
+ ,594167
+ ,595454
+ ,590865
+ ,589379
+ ,584428
+ ,573100
+ ,567456
+ ,569028
+ ,620735
+ ,628884
+ ,628232
+ ,612117
+ ,595404
+ ,597141)
> 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] 312
> (np <- floor(n / par1))
[1] 26
> 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]
 [1,] 348542 413626 510401 579849 601676 619393 540380 530541 493756 444385
 [2,] 335658 411062 508642 574346 589121 596019 521219 508392 476141 428846
 [3,] 330664 408352 501805 563325 573559 569977 504652 495208 458458 421020
 [4,] 326814 409780 495476 555604 558487 546213 490626 482223 443182 399778
 [5,] 322900 411318 490336 545544 552148 528492 481686 470495 429597 389005
 [6,] 322310 415555 490042 545109 545720 505944 477930 466106 424476 384018
 [7,] 385164 479481 553155 605181 606569 554910 522605 515037 476257 431933
 [8,] 404861 497826 569999 627856 636067 567831 531432 517752 480555 445844
 [9,] 412136 501638 573170 631421 630704 564021 532355 515565 469762 431464
[10,] 411057 497990 571687 625671 623275 552800 539954 510727 459820 423263
[11,] 410040 499287 575453 613577 617771 541102 524987 499725 451028 415881
[12,] 414980 506247 580177 606463 605401 542378 533307 498369 450065 416208
       [,11]  [,12]  [,13]  [,14]  [,15]  [,16]  [,17]  [,18]  [,19]  [,20]
 [1,] 413491 423113 461146 520862 594033 599917 621170 579457 561274 526519
 [2,] 399153 418873 451391 519517 585597 591573 604212 571560 554144 515713
 [3,] 385939 405733 443101 511805 572450 575489 584348 560460 539900 503454
 [4,] 373917 397812 438810 508607 562917 567223 573717 551397 526271 489301
 [5,] 364635 389918 430457 505327 554675 555338 555234 536763 511841 479020
 [6,] 364696 391116 435721 511435 553997 555252 544897 540562 505282 475102
 [7,] 418358 443814 488280 570158 601310 608249 598866 588184 554083 523682
 [8,] 428212 460373 505814 591665 622255 630859 620081 607049 584225 551528
 [9,] 423730 455422 502338 593572 616735 628632 607699 598968 568858 531626
[10,] 420677 456288 500910 586346 606480 624435 589960 577644 539516 511037
[11,] 417428 452233 501434 586063 595079 609670 578665 562640 521612 492417
[12,] 423245 459256 515476 591504 598588 615830 580166 565867 525562 492188
       [,21]  [,22]  [,23]  [,24]  [,25]  [,26]
 [1,] 492865 467037 476049 519164 562325 590865
 [2,] 480961 460070 474605 517009 560854 589379
 [3,] 461935 447988 470439 509933 555332 584428
 [4,] 456608 442867 461251 509127 543599 573100
 [5,] 441977 436087 454724 500857 536662 567456
 [6,] 439148 431328 455626 506971 542722 569028
 [7,] 488180 484015 516847 569323 593530 620735
 [8,] 520564 509673 525192 579714 610763 628884
 [9,] 501492 512927 522975 577992 612613 628232
[10,] 485025 502831 518585 565464 611324 612117
[11,] 464196 470984 509239 547344 594167 595404
[12,] 460170 471067 512238 554788 595454 597141
> 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] 368760.5 454346.8 535028.6 589495.5 595041.5 557423.3 516761.1 500845.0
 [9] 459424.8 419303.8 402790.1 429495.9 472906.5 549738.4 588676.3 596872.2
[17] 588251.2 570045.9 541047.3 507632.2 474426.8 469739.5 491480.8 538140.5
[25] 576612.1 596397.4
> arr.sd
 [1] 40518.50 45092.20 38156.16 32627.06 31127.49 29806.29 22396.05 19665.99
 [9] 20952.06 19808.52 24181.23 28143.43 32238.49 39100.78 23069.84 27645.66
[17] 23738.74 21684.38 24045.43 23148.00 24540.07 28068.08 28234.06 30455.56
[25] 29164.69 21872.30
> arr.range
 [1]  92670  97895  90135  86312  90347 113449  62450  64435  69280  61826
[11]  63577  70455  85019  88245  68258  75607  76273  70286  78943  76426
[21]  81416  81599  70468  78857  75951  61428
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
  3.475e+04   -1.300e-02  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      12.3903        -0.1654  

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

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

Coefficients:
(Intercept)     arr.mean  
  7.111e+04    1.365e-02  

> postscript(file="/var/www/rcomp/tmp/1ehmk1322904436.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/20qz31322904436.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/3rquv1322904437.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/4zp1a1322904437.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5l2p81322904437.tab") 
> 
> try(system("convert tmp/1ehmk1322904436.ps tmp/1ehmk1322904436.png",intern=TRUE))
character(0)
> try(system("convert tmp/20qz31322904436.ps tmp/20qz31322904436.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.070   0.130   1.189