R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(2341
+ ,2115
+ ,2402
+ ,2180
+ ,2453
+ ,2507
+ ,2679
+ ,2622
+ ,2618
+ ,2648
+ ,2523
+ ,2473
+ ,2513
+ ,2466
+ ,2544
+ ,2537
+ ,2564
+ ,2582
+ ,2716
+ ,2904
+ ,2851
+ ,2932
+ ,2772
+ ,2811
+ ,2935
+ ,2783
+ ,3003
+ ,2995
+ ,3127
+ ,2985
+ ,3287
+ ,3236
+ ,3252
+ ,3228
+ ,2856
+ ,3176
+ ,3362
+ ,3036
+ ,3330
+ ,3251
+ ,3318
+ ,3238
+ ,3597
+ ,3708
+ ,3902
+ ,3745
+ ,3426
+ ,3526
+ ,3483
+ ,3458
+ ,3824
+ ,3696
+ ,3518
+ ,3814
+ ,3996
+ ,4136
+ ,4037
+ ,3915
+ ,3760
+ ,3955
+ ,4160
+ ,4115
+ ,4202
+ ,4018
+ ,4233
+ ,4029
+ ,4401
+ ,4645
+ ,4491
+ ,4379
+ ,4394
+ ,4472
+ ,4614
+ ,4160
+ ,4328
+ ,4202
+ ,4635
+ ,4542
+ ,4920
+ ,4774
+ ,4698
+ ,4916
+ ,4703
+ ,4616
+ ,4873
+ ,4375
+ ,4801
+ ,4427
+ ,4684
+ ,4648
+ ,5225
+ ,5174
+ ,5181
+ ,5266
+ ,4839
+ ,5032
+ ,5221
+ ,4658
+ ,5014
+ ,4980
+ ,4952
+ ,4946
+ ,5365
+ ,5456
+ ,5397
+ ,5436
+ ,4995
+ ,5019
+ ,5249
+ ,4799
+ ,5137
+ ,4979
+ ,4951
+ ,5265
+ ,5612
+ ,5572
+ ,5403
+ ,5373
+ ,5252
+ ,5437
+ ,5296
+ ,5011
+ ,5294
+ ,5335
+ ,5398
+ ,5396
+ ,5724
+ ,5898
+ ,5718
+ ,5625
+ ,5380
+ ,5488
+ ,5678
+ ,5224
+ ,5596
+ ,5184
+ ,5620
+ ,5531
+ ,5816
+ ,6086
+ ,6175
+ ,6112
+ ,5813
+ ,5740
+ ,5821
+ ,5294
+ ,5881
+ ,5589
+ ,5845
+ ,5706
+ ,6355
+ ,6404
+ ,6426
+ ,6375
+ ,5869
+ ,5994
+ ,6105
+ ,5792
+ ,6011
+ ,5968
+ ,6255
+ ,6208
+ ,6897
+ ,6814
+ ,6897
+ ,6596
+ ,6188
+ ,6406
+ ,6548
+ ,5842
+ ,6555
+ ,6424
+ ,6596
+ ,6645
+ ,7203
+ ,7128
+ ,7133
+ ,6778
+ ,6593
+ ,6591
+ ,6120
+ ,5612
+ ,6070
+ ,5983
+ ,6145
+ ,6303
+ ,6588
+ ,6640
+ ,6719
+ ,6575
+ ,6487
+ ,6510
+ ,6365
+ ,5844
+ ,5974
+ ,5880
+ ,6279
+ ,6342
+ ,6598
+ ,6801
+ ,6529
+ ,6369
+ ,6028
+ ,6187
+ ,6164
+ ,5866
+ ,6198
+ ,5898
+ ,6462
+ ,6063
+ ,6496
+ ,6678
+ ,6554
+ ,6513
+ ,6210
+ ,5928
+ ,6268
+ ,5582
+ ,5869
+ ,5764
+ ,6082
+ ,6062
+ ,6810
+ ,6727
+ ,6537
+ ,6175
+ ,6014
+ ,6109)
> par1 = '12'
> par1 <- '12'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P. (2012), Standard Deviation-Mean Plot (v1.0.6) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_smp.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 228
> (np <- floor(n / par1))
[1] 19
> 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,] 2341 2513 2935 3362 3483 4160 4614 4873 5221  5249  5296  5678  5821
 [2,] 2115 2466 2783 3036 3458 4115 4160 4375 4658  4799  5011  5224  5294
 [3,] 2402 2544 3003 3330 3824 4202 4328 4801 5014  5137  5294  5596  5881
 [4,] 2180 2537 2995 3251 3696 4018 4202 4427 4980  4979  5335  5184  5589
 [5,] 2453 2564 3127 3318 3518 4233 4635 4684 4952  4951  5398  5620  5845
 [6,] 2507 2582 2985 3238 3814 4029 4542 4648 4946  5265  5396  5531  5706
 [7,] 2679 2716 3287 3597 3996 4401 4920 5225 5365  5612  5724  5816  6355
 [8,] 2622 2904 3236 3708 4136 4645 4774 5174 5456  5572  5898  6086  6404
 [9,] 2618 2851 3252 3902 4037 4491 4698 5181 5397  5403  5718  6175  6426
[10,] 2648 2932 3228 3745 3915 4379 4916 5266 5436  5373  5625  6112  6375
[11,] 2523 2772 2856 3426 3760 4394 4703 4839 4995  5252  5380  5813  5869
[12,] 2473 2811 3176 3526 3955 4472 4616 5032 5019  5437  5488  5740  5994
      [,14] [,15] [,16] [,17] [,18] [,19]
 [1,]  6105  6548  6120  6365  6164  6268
 [2,]  5792  5842  5612  5844  5866  5582
 [3,]  6011  6555  6070  5974  6198  5869
 [4,]  5968  6424  5983  5880  5898  5764
 [5,]  6255  6596  6145  6279  6462  6082
 [6,]  6208  6645  6303  6342  6063  6062
 [7,]  6897  7203  6588  6598  6496  6810
 [8,]  6814  7128  6640  6801  6678  6727
 [9,]  6897  7133  6719  6529  6554  6537
[10,]  6596  6778  6575  6369  6513  6175
[11,]  6188  6593  6487  6028  6210  6014
[12,]  6406  6591  6510  6187  5928  6109
> 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] 2463.417 2682.667 3071.917 3453.250 3799.333 4294.917 4592.333 4877.083
 [9] 5119.917 5252.417 5463.583 5714.583 5963.250 6344.750 6669.667 6312.667
[17] 6266.333 6252.500 6166.583
> arr.sd
 [1] 179.8279 166.6370 168.1187 248.8585 224.5988 197.9304 249.1930 305.7784
 [9] 250.1478 249.9831 241.5813 317.4803 361.3551 377.1547 370.7933 331.6681
[17] 296.5254 281.5327 370.8311
> arr.range
 [1]  564  466  504  866  678  627  760  891  798  813  887  991 1132 1105 1361
[16] 1107  957  812 1228
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   48.69441      0.04501  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -0.8172         0.7547  

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

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

Coefficients:
(Intercept)     arr.mean  
    91.8765       0.1562  

> postscript(file="/var/wessaorg/rcomp/tmp/1pz4o1432153204.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/28whj1432153204.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/3wgxs1432153204.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4fofd1432153204.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5v1hj1432153204.tab") 
> 
> try(system("convert tmp/1pz4o1432153204.ps tmp/1pz4o1432153204.png",intern=TRUE))
character(0)
> try(system("convert tmp/28whj1432153204.ps tmp/28whj1432153204.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.039   0.158   1.201