R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(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
+ ,593408
+ ,590072
+ ,579799
+ ,574205
+ ,572775
+ ,572942
+ ,619567
+ ,625809
+ ,619916
+ ,587625
+ ,565742
+ ,557274
+ ,560576
+ ,548854
+ ,531673
+ ,525919
+ ,511038
+ ,498662
+ ,555362
+ ,564591
+ ,541657
+ ,527070
+ ,509846
+ ,514258
+ ,516922
+ ,507561
+ ,492622
+ ,490243
+ ,469357
+ ,477580
+ ,528379
+ ,533590
+ ,517945
+ ,506174
+ ,501866
+ ,516141
+ ,528222
+ ,532638
+ ,536322
+ ,536535
+ ,523597
+ ,536214
+ ,586570
+ ,596594
+ ,580523
+ ,564478
+ ,557560
+ ,575093
+ ,580112
+ ,574761
+ ,563250
+ ,551531
+ ,537034
+ ,544686
+ ,600991
+ ,604378
+ ,586111
+ ,563668
+ ,548604
+ ,551174
+ ,555654)
> 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] 253
> (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]
 [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
       [,11]  [,12]  [,13]  [,14]  [,15]  [,16]  [,17]  [,18]  [,19]  [,20]
 [1,] 492865 467037 476049 519164 562325 590865 593408 560576 516922 528222
 [2,] 480961 460070 474605 517009 560854 589379 590072 548854 507561 532638
 [3,] 461935 447988 470439 509933 555332 584428 579799 531673 492622 536322
 [4,] 456608 442867 461251 509127 543599 573100 574205 525919 490243 536535
 [5,] 441977 436087 454724 500857 536662 567456 572775 511038 469357 523597
 [6,] 439148 431328 455626 506971 542722 569028 572942 498662 477580 536214
 [7,] 488180 484015 516847 569323 593530 620735 619567 555362 528379 586570
 [8,] 520564 509673 525192 579714 610763 628884 625809 564591 533590 596594
 [9,] 501492 512927 522975 577992 612613 628232 619916 541657 517945 580523
[10,] 485025 502831 518585 565464 611324 612117 587625 527070 506174 564478
[11,] 464196 470984 509239 547344 594167 595404 565742 509846 501866 557560
[12,] 460170 471067 512238 554788 595454 597141 557274 514258 516141 575093
       [,21]
 [1,] 580112
 [2,] 574761
 [3,] 563250
 [4,] 551531
 [5,] 537034
 [6,] 544686
 [7,] 600991
 [8,] 604378
 [9,] 586111
[10,] 563668
[11,] 548604
[12,] 551174
> 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] 402790.1 429495.9 472906.5 549738.4 588676.3 596872.2 588251.2 570045.9
 [9] 541047.3 507632.2 474426.8 469739.5 491480.8 538140.5 576612.1 596397.4
[17] 588261.2 532458.8 504865.0 554528.8 567191.7
> arr.sd
 [1] 24181.23 28143.43 32238.49 39100.78 23069.84 27645.66 23738.74 21684.38
 [9] 24045.43 23148.00 24540.07 28068.08 28234.06 30455.56 29164.69 21872.30
[17] 22629.62 21778.07 19560.16 25444.43 22153.71
> arr.range
 [1] 63577 70455 85019 88245 68258 75607 76273 70286 78943 76426 81416 81599
[13] 70468 78857 75951 61428 68535 65929 64233 72997 67344
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
  3.256e+04   -1.282e-02  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      13.4989        -0.2547  

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

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

Coefficients:
(Intercept)     arr.mean  
  79257.697       -0.011  

> postscript(file="/var/wessaorg/rcomp/tmp/183mx1323167161.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/238gt1323167161.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/37ocg1323167161.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/45t6f1323167161.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/54a9u1323167161.tab") 
> 
> try(system("convert tmp/183mx1323167161.ps tmp/183mx1323167161.png",intern=TRUE))
character(0)
> try(system("convert tmp/238gt1323167161.ps tmp/238gt1323167161.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.680   0.119   0.810