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

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.

R is a collaborative project with many contributors.
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(374
+ ,572
+ ,402
+ ,589
+ ,507
+ ,628
+ ,698
+ ,451
+ ,694
+ ,0
+ ,488
+ ,526
+ ,343
+ ,494
+ ,447
+ ,0
+ ,470
+ ,366
+ ,517
+ ,483
+ ,485
+ ,530
+ ,308
+ ,481
+ ,437
+ ,468
+ ,502
+ ,408
+ ,479
+ ,436
+ ,410
+ ,451
+ ,344
+ ,411
+ ,0
+ ,427
+ ,454
+ ,365
+ ,499
+ ,416
+ ,430
+ ,470
+ ,325
+ ,452
+ ,442
+ ,488
+ ,446
+ ,523
+ ,594
+ ,439
+ ,588
+ ,503
+ ,444
+ ,525
+ ,375
+ ,472
+ ,436
+ ,458
+ ,514
+ ,0
+ ,472
+ ,360
+ ,450
+ ,549
+ ,361
+ ,466
+ ,387
+ ,457
+ ,470
+ ,396
+ ,471
+ ,422
+ ,404
+ ,414
+ ,342
+ ,459
+ ,379
+ ,0
+ ,410
+ ,319
+ ,411
+ ,371
+ ,365
+ ,429
+ ,333
+ ,392
+ ,469
+ ,432
+ ,534
+ ,379
+ ,436
+ ,448
+ ,358
+ ,492
+ ,387
+ ,529
+ ,475
+ ,439
+ ,459
+ ,361
+ ,0
+ ,0
+ ,394
+ ,425
+ ,341
+ ,455
+ ,403
+ ,471
+ ,523
+ ,389
+ ,531
+ ,468
+ ,398
+ ,446
+ ,355
+ ,435
+ ,353
+ ,0
+ ,400
+ ,332
+ ,389
+ ,355
+ ,384
+ ,406
+ ,356
+ ,336
+ ,351
+ ,278
+ ,265
+ ,229
+ ,387
+ ,435
+ ,317
+ ,490
+ ,472
+ ,440
+ ,429
+ ,350
+ ,489
+ ,494
+ ,436
+ ,436
+ ,375
+ ,429
+ ,0
+ ,434
+ ,472
+ ,362
+ ,440
+ ,433
+ ,400
+ ,442
+ ,316
+ ,432
+ ,401
+ ,434
+ ,488
+ ,377
+ ,484
+ ,377
+ ,0
+ ,0
+ ,300
+ ,389
+ ,337
+ ,376
+ ,377
+ ,331
+ ,339
+ ,356
+ ,280
+ ,249
+ ,196
+ ,268
+ ,379
+ ,401
+ ,404
+ ,397
+ ,419
+ ,421
+ ,407
+ ,296
+ ,468
+ ,475
+ ,422
+ ,456
+ ,339
+ ,446
+ ,419
+ ,346
+ ,327
+ ,326
+ ,403
+ ,359
+ ,358
+ ,421
+ ,322
+ ,367
+ ,394
+ ,356
+ ,418
+ ,344
+ ,372
+ ,358
+ ,373
+ ,379
+ ,0
+ ,348
+ ,369
+ ,341
+ ,390
+ ,279
+ ,325
+ ,354
+ ,346
+ ,358
+ ,296
+ ,356
+ ,337
+ ,360
+ ,474
+ ,362
+ ,440
+ ,443
+ ,435
+ ,429
+ ,341
+ ,434
+ ,329
+ ,416
+ ,430
+ ,307
+ ,408
+ ,322
+ ,0
+ ,324
+ ,303
+ ,369
+ ,328
+ ,258
+ ,372
+ ,298
+ ,376
+ ,306
+ ,359
+ ,418
+ ,311
+ ,355
+ ,335
+ ,345
+ ,318
+ ,291
+ ,340
+ ,0
+ ,356
+ ,419
+ ,296
+ ,361
+ ,371
+ ,392
+ ,383
+ ,286
+ ,362
+ ,358)
> 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] 264
> (np <- floor(n / par1))
[1] 22
> 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] [,13]
 [1,]  374  343  437  454  594  472  404  333  475   523   389   317     0
 [2,]  572  494  468  365  439  360  414  392  439   389   355   490   434
 [3,]  402  447  502  499  588  450  342  469  459   531   384   472   472
 [4,]  589    0  408  416  503  549  459  432  361   468   406   440   362
 [5,]  507  470  479  430  444  361  379  534    0   398   356   429   440
 [6,]  628  366  436  470  525  466    0  379    0   446   336   350   433
 [7,]  698  517  410  325  375  387  410  436  394   355   351   489   400
 [8,]  451  483  451  452  472  457  319  448  425   435   278   494   442
 [9,]  694  485  344  442  436  470  411  358  341   353   265   436   316
[10,]    0  530  411  488  458  396  371  492  455     0   229   436   432
[11,]  488  308    0  446  514  471  365  387  403   400   387   375   401
[12,]  526  481  427  523    0  422  429  529  471   332   435   429   434
      [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22]
 [1,]   488   339   407   403   373   296   329   372   340
 [2,]   377   356   296   359   379   356   416   298     0
 [3,]   484   280   468   358     0   337   430   376   356
 [4,]   377   249   475   421   348   360   307   306   419
 [5,]     0   196   422   322   369   474   408   359   296
 [6,]     0   268   456   367   341   362   322   418   361
 [7,]   300   379   339   394   390   440     0   311   371
 [8,]   389   401   446   356   279   443   324   355   392
 [9,]   337   404   419   418   325   435   303   335   383
[10,]   376   397   346   344   354   429   369   345   286
[11,]   377   419   327   372   346   341   328   318   362
[12,]   331   421   326   358   358   434   258   291   358
> 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] 494.0833 410.3333 397.7500 442.5000 445.6667 438.4167 358.5833 432.4167
 [9] 351.9167 385.8333 347.5833 429.7500 380.5000 319.6667 342.4167 393.9167
[17] 372.6667 321.8333 392.2500 316.1667 340.3333 327.0000
> arr.sd
 [1] 186.99998 147.33902 131.64147  55.10733 154.06925  55.19463 119.31734
 [8]  65.20103 169.65765 137.12293  61.52968  56.65546 126.81805 159.08050
[15]  75.90479  63.39552  30.27550 105.38141  56.14288 112.06803  37.76081
[22] 109.41331
> arr.range
 [1] 698 530 502 198 594 189 459 201 475 531 206 177 472 488 225 179  99 390 178
[20] 430 127 419
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   79.35139      0.05572  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      4.87570       -0.06426  

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

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

Coefficients:
(Intercept)     arr.mean  
   202.8891       0.3913  

> postscript(file="/var/www/html/rcomp/tmp/1fssf1243891508.ps",horizontal=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/2qbyi1243891508.ps",horizontal=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/3gb7m1243891508.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/4fufv1243891508.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5f34v1243891508.tab") 
> 
> system("convert tmp/1fssf1243891508.ps tmp/1fssf1243891508.png")
> system("convert tmp/2qbyi1243891508.ps tmp/2qbyi1243891508.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.535   0.292   0.638