R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(41
+ ,48
+ ,52
+ ,53
+ ,65
+ ,68
+ ,64
+ ,57
+ ,55
+ ,54
+ ,59
+ ,66
+ ,83
+ ,100
+ ,101
+ ,98
+ ,92
+ ,85
+ ,92
+ ,94
+ ,90
+ ,99
+ ,108
+ ,106
+ ,99
+ ,100
+ ,99
+ ,93
+ ,92
+ ,93
+ ,98
+ ,95
+ ,86
+ ,85
+ ,83
+ ,85
+ ,80
+ ,84
+ ,86
+ ,87
+ ,85
+ ,83
+ ,76
+ ,70
+ ,78
+ ,83
+ ,88
+ ,90
+ ,90
+ ,97
+ ,102
+ ,101
+ ,98
+ ,98
+ ,100
+ ,102
+ ,108
+ ,112
+ ,110
+ ,110
+ ,117
+ ,120
+ ,119
+ ,113
+ ,123
+ ,120
+ ,129
+ ,132
+ ,136
+ ,141
+ ,122
+ ,137
+ ,145
+ ,155
+ ,148
+ ,153
+ ,172
+ ,169
+ ,180
+ ,190
+ ,233
+ ,231
+ ,245
+ ,299
+ ,385
+ ,381
+ ,322
+ ,317
+ ,323
+ ,393
+ ,372
+ ,387
+ ,413
+ ,405
+ ,407
+ ,392
+ ,363
+ ,358
+ ,375
+ ,370
+ ,386
+ ,353
+ ,347
+ ,363
+ ,350
+ ,347
+ ,333
+ ,327
+ ,328
+ ,309
+ ,286
+ ,319
+ ,285
+ ,301
+ ,315
+ ,388
+ ,383
+ ,417
+ ,423
+ ,430
+ ,486
+ ,394
+ ,411
+ ,431
+ ,447
+ ,432
+ ,457
+ ,453
+ ,441
+ ,416
+ ,451
+ ,432
+ ,436
+ ,429
+ ,421
+ ,425
+ ,437
+ ,432
+ ,413
+ ,419
+ ,436
+ ,421
+ ,424
+ ,402
+ ,403
+ ,400
+ ,426
+ ,418
+ ,403
+ ,405
+ ,394
+ ,400
+ ,376
+ ,367
+ ,354
+ ,348
+ ,364
+ ,329
+ ,348
+ ,330
+ ,351
+ ,336
+ ,332
+ ,349
+ ,384
+ ,370
+ ,346
+ ,338
+ ,335
+ ,338
+ ,347
+ ,372
+ ,376
+ ,373
+ ,392
+ ,374
+ ,385
+ ,372
+ ,372
+ ,352
+ ,353
+ ,330
+ ,348
+ ,346
+ ,361
+ ,364
+ ,375
+ ,369
+ ,342
+ ,338
+ ,337
+ ,333
+ ,336
+ ,322
+ ,329
+ ,322
+ ,325
+ ,331
+ ,311
+ ,318
+ ,312
+ ,315
+ ,333
+ ,311
+ ,321
+ ,316
+ ,284
+ ,281
+ ,280
+ ,266
+ ,268
+ ,278
+ ,292
+ ,263
+ ,265
+ ,266
+ ,251
+ ,256
+ ,280
+ ,283
+ ,289
+ ,308
+ ,293
+ ,281
+ ,274
+ ,277
+ ,278
+ ,250
+ ,265
+ ,269
+ ,262
+ ,258
+ ,251
+ ,243
+ ,247
+ ,224
+ ,241
+ ,255
+ ,261
+ ,267
+ ,264
+ ,270
+ ,275
+ ,281
+ ,301
+ ,321
+ ,355
+ ,319
+ ,299
+ ,319
+ ,328
+ ,348
+ ,335
+ ,333
+ ,331
+ ,318
+ ,325
+ ,318
+ ,313
+ ,313
+ ,315
+ ,298
+ ,311
+ ,309
+ ,297
+ ,294
+ ,291
+ ,292
+ ,290
+ ,287
+ ,281
+ ,295
+ ,289
+ ,286
+ ,295
+ ,291
+ ,315
+ ,306
+ ,304
+ ,309
+ ,307
+ ,299
+ ,294
+ ,295
+ ,296
+ ,294
+ ,292
+ ,290
+ ,289
+ ,310
+ ,297
+ ,301
+ ,302
+ ,297
+ ,305
+ ,298
+ ,299
+ ,273
+ ,267
+ ,266
+ ,284
+ ,276
+ ,284
+ ,285
+ ,267
+ ,273
+ ,262
+ ,246
+ ,251
+ ,248
+ ,255
+ ,245
+ ,251
+ ,261
+ ,259
+ ,271
+ ,258
+ ,253
+ ,239
+ ,241
+ ,281
+ ,285
+ ,289
+ ,290
+ ,290
+ ,305
+ ,289
+ ,302
+ ,294
+ ,301
+ ,299
+ ,312
+ ,310
+ ,312
+ ,309
+ ,292
+ ,284
+ ,290
+ ,292
+ ,297
+ ,316
+ ,320
+ ,304
+ ,301
+ ,322
+ ,309
+ ,308
+ ,311
+ ,328
+ ,343
+ ,345
+ ,342
+ ,350
+ ,322
+ ,311
+ ,319
+ ,328
+ ,320
+ ,321
+ ,331
+ ,342
+ ,322
+ ,307
+ ,302
+ ,307
+ ,301
+ ,315
+ ,342
+ ,333
+ ,332
+ ,332
+ ,330
+ ,322
+ ,319
+ ,345
+ ,324
+ ,322
+ ,325
+ ,325
+ ,335
+ ,335
+ ,335
+ ,341
+ ,320
+ ,324
+ ,328
+ ,329
+ ,338
+ ,336
+ ,361
+ ,353
+ ,352
+ ,393
+ ,393
+ ,420
+ ,435
+ ,468
+ ,466
+ ,481
+ ,511
+ ,508
+ ,480
+ ,496
+ ,487
+ ,473
+ ,473
+ ,488
+ ,479
+ ,501
+ ,503
+ ,497
+ ,496
+ ,490
+ ,482
+ ,486
+ ,493
+ ,522
+ ,546
+ ,534
+ ,570
+ ,624
+ ,640
+ ,589
+ ,559
+ ,570
+ ,590
+ ,588
+ ,566
+ ,630
+ ,576
+ ,642
+ ,626
+ ,718
+ ,750
+ ,690
+ ,667
+ ,689
+ ,666
+ ,662
+ ,666
+ ,681
+ ,705
+ ,783
+ ,758
+ ,776
+ ,812
+ ,824
+ ,887
+ ,984
+ ,1016
+ ,897
+ ,980
+ ,957
+ ,969
+ ,1063
+ ,1048
+ ,968
+ ,1022
+ ,1014
+ ,1035
+ ,1069
+ ,1038
+ ,1133
+ ,1260
+ ,1207
+ ,1235
+ ,1297
+ ,1179
+ ,1332
+ ,1323
+ ,1248
+ ,1248
+ ,1260
+ ,1260
+ ,1317
+ ,1308
+ ,1380
+ ,1327
+ ,1327)
> par1 = '12'
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 479
> (np <- floor(n / par1))
[1] 39
> 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,]   41   83   99   80   90  117  145  385  363   328   486   436   403
 [2,]   48  100  100   84   97  120  155  381  358   309   394   429   400
 [3,]   52  101   99   86  102  119  148  322  375   286   411   421   426
 [4,]   53   98   93   87  101  113  153  317  370   319   431   425   418
 [5,]   65   92   92   85   98  123  172  323  386   285   447   437   403
 [6,]   68   85   93   83   98  120  169  393  353   301   432   432   405
 [7,]   64   92   98   76  100  129  180  372  347   315   457   413   394
 [8,]   57   94   95   70  102  132  190  387  363   388   453   419   400
 [9,]   55   90   86   78  108  136  233  413  350   383   441   436   376
[10,]   54   99   85   83  112  141  231  405  347   417   416   421   367
[11,]   59  108   83   88  110  122  245  407  333   423   451   424   354
[12,]   66  106   85   90  110  137  299  392  327   430   432   402   348
      [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
 [1,]   364   335   353   336   321   251   265   264   335   297   315   289
 [2,]   329   338   330   322   316   256   269   270   333   294   306   310
 [3,]   348   347   348   329   284   280   262   275   331   291   304   297
 [4,]   330   372   346   322   281   283   258   281   318   292   309   301
 [5,]   351   376   361   325   280   289   251   301   325   290   307   302
 [6,]   336   373   364   331   266   308   243   321   318   287   299   297
 [7,]   332   392   375   311   268   293   247   355   313   281   294   305
 [8,]   349   374   369   318   278   281   224   319   313   295   295   298
 [9,]   384   385   342   312   292   274   241   299   315   289   296   299
[10,]   370   372   338   315   263   277   255   319   298   286   294   273
[11,]   346   372   337   333   265   278   261   328   311   295   292   267
[12,]   338   352   333   311   266   250   267   348   309   291   290   266
      [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37]
 [1,]   284   251   290   284   328   342   322   324   468   501   624   718
 [2,]   276   261   305   290   343   322   319   328   466   503   640   750
 [3,]   284   259   289   292   345   307   345   329   481   497   589   690
 [4,]   285   271   302   297   342   302   324   338   511   496   559   667
 [5,]   267   258   294   316   350   307   322   336   508   490   570   689
 [6,]   273   253   301   320   322   301   325   361   480   482   590   666
 [7,]   262   239   299   304   311   315   325   353   496   486   588   662
 [8,]   246   241   312   301   319   342   335   352   487   493   566   666
 [9,]   251   281   310   322   328   333   335   393   473   522   630   681
[10,]   248   285   312   309   320   332   335   393   473   546   576   705
[11,]   255   289   309   308   321   332   341   420   488   534   642   783
[12,]   245   290   292   311   331   330   320   435   479   570   626   758
      [,38] [,39]
 [1,]   776   968
 [2,]   812  1022
 [3,]   824  1014
 [4,]   887  1035
 [5,]   984  1069
 [6,]  1016  1038
 [7,]   897  1133
 [8,]   980  1260
 [9,]   957  1207
[10,]   969  1235
[11,]  1063  1297
[12,]  1048  1179
> 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]   56.83333   95.66667   92.33333   82.50000  102.33333  125.75000
 [7]  193.33333  374.75000  356.00000  348.66667  437.58333  424.58333
[13]  391.16667  348.08333  365.66667  349.66667  322.08333  281.66667
[19]  276.66667  253.58333  306.66667  318.25000  290.66667  300.08333
[25]  292.00000  264.66667  264.83333  301.25000  304.50000  330.00000
[31]  322.08333  329.00000  363.50000  484.16667  510.00000  600.00000
[37]  702.91667  934.41667 1121.41667
> arr.sd
 [1]   8.032132   7.738139   6.198729   5.664884   6.527332   8.975978
 [7]  48.195310  34.570416  16.884635  55.434373  24.152765  10.405054
[13]  24.546184  17.148858  18.237491  14.760718   8.857029  19.443781
[19]  17.259165  13.111122  30.040377  10.955488   4.499158   7.890827
[25]  15.015144  15.564139  18.054631   8.540013  12.094326  12.336200
[31]  15.150508   8.759411  37.792496  14.602822  27.236339  30.442196
[37]  40.928893  94.510662 111.127657
> arr.range
 [1]  27  25  17  20  22  28 154  96  59 145  92  35  78  55  57  45  25  58  58
[20]  45  91  37  16  25  44  40  51  23  38  39  41  26 111  45  88  83 121 287
[39] 329
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -7.87352      0.08728  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -1.8866         0.8253  

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

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

Coefficients:
(Intercept)     arr.mean  
   -21.7529       0.2588  

> postscript(file="/var/wessaorg/rcomp/tmp/16rsm1356026336.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/2t2a51356026336.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/3m6lp1356026336.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/43czx1356026336.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5f0e31356026336.tab") 
> 
> try(system("convert tmp/16rsm1356026336.ps tmp/16rsm1356026336.png",intern=TRUE))
character(0)
> try(system("convert tmp/2t2a51356026336.ps tmp/2t2a51356026336.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.570   0.324   1.870