R version 3.2.5 (2016-04-14) -- "Very, Very Secure Dishes"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(7612
+ ,7381
+ ,6978
+ ,6819
+ ,6688
+ ,6454
+ ,6679
+ ,6921
+ ,7807
+ ,7898
+ ,7832
+ ,7384
+ ,7620
+ ,7281
+ ,6929
+ ,6587
+ ,6071
+ ,5928
+ ,5964
+ ,6374
+ ,7160
+ ,7213
+ ,6890
+ ,6525
+ ,6739
+ ,6580
+ ,6391
+ ,6254
+ ,6114
+ ,5978
+ ,6315
+ ,6427
+ ,7132
+ ,7292
+ ,7708
+ ,7525
+ ,7450
+ ,7526
+ ,7263
+ ,7070
+ ,6893
+ ,6781
+ ,7188
+ ,7015
+ ,8273
+ ,8470
+ ,8230
+ ,8137
+ ,8122
+ ,8367
+ ,8141
+ ,7750
+ ,7504
+ ,7330
+ ,7608
+ ,7647
+ ,8942
+ ,8865
+ ,8320
+ ,8207
+ ,8105
+ ,8290
+ ,8162
+ ,8051
+ ,7699
+ ,7440
+ ,7656
+ ,7549
+ ,9086
+ ,8942
+ ,8764
+ ,8500
+ ,8239
+ ,8443
+ ,8349
+ ,8288
+ ,7970
+ ,7496
+ ,7745
+ ,7543
+ ,9036
+ ,9075
+ ,8859
+ ,8605
+ ,8419
+ ,8495
+ ,8284
+ ,7582
+ ,7691
+ ,7046
+ ,7442
+ ,7596
+ ,8597
+ ,8436
+ ,7881
+ ,7477
+ ,7508
+ ,7361
+ ,7299
+ ,6914
+ ,6768
+ ,6746
+ ,7052
+ ,7139
+ ,7714
+ ,7750
+ ,7622
+ ,7424
+ ,7444
+ ,7208
+ ,7128
+ ,7022
+ ,6688
+ ,6199
+ ,6400
+ ,6474
+ ,7182
+ ,7330
+ ,7410
+ ,7442
+ ,7753
+ ,7762
+ ,7814
+ ,7838
+ ,7298
+ ,7155
+ ,7076
+ ,7450
+ ,8216
+ ,8246
+ ,8335
+ ,8171
+ ,8485
+ ,8435
+ ,8369
+ ,8210
+ ,7888
+ ,8061
+ ,8139
+ ,7837
+ ,8943
+ ,8523
+ ,8104
+ ,7969
+ ,7921
+ ,7930
+ ,7706
+ ,7552
+ ,7379
+ ,6946
+ ,7128
+ ,7393
+ ,8092
+ ,8004
+ ,7903
+ ,7710
+ ,7867
+ ,7860
+ ,7723
+ ,7477
+ ,7126
+ ,7161
+ ,7162
+ ,7406
+ ,7944
+ ,8084
+ ,8088
+ ,7972
+ ,8184
+ ,7914
+ ,7845
+ ,7610
+ ,7278
+ ,6883
+ ,7123
+ ,7182
+ ,7912
+ ,7893
+ ,7671
+ ,7403
+ ,7663
+ ,7589
+ ,7450
+ ,7069
+ ,6670
+ ,6285
+ ,6506
+ ,6539
+ ,7291
+ ,7391
+ ,7126
+ ,6752
+ ,6835
+ ,6664
+ ,6562
+ ,6174
+ ,5741
+ ,5398
+ ,5203
+ ,5673
+ ,6379
+ ,6418
+ ,6272
+ ,6059)
> 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] 204
> (np <- floor(n / par1))
[1] 17
> 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,] 7612 7620 6739 7450 8122 8105 8239 8419 7508  7444  7753  8485  7921
 [2,] 7381 7281 6580 7526 8367 8290 8443 8495 7361  7208  7762  8435  7930
 [3,] 6978 6929 6391 7263 8141 8162 8349 8284 7299  7128  7814  8369  7706
 [4,] 6819 6587 6254 7070 7750 8051 8288 7582 6914  7022  7838  8210  7552
 [5,] 6688 6071 6114 6893 7504 7699 7970 7691 6768  6688  7298  7888  7379
 [6,] 6454 5928 5978 6781 7330 7440 7496 7046 6746  6199  7155  8061  6946
 [7,] 6679 5964 6315 7188 7608 7656 7745 7442 7052  6400  7076  8139  7128
 [8,] 6921 6374 6427 7015 7647 7549 7543 7596 7139  6474  7450  7837  7393
 [9,] 7807 7160 7132 8273 8942 9086 9036 8597 7714  7182  8216  8943  8092
[10,] 7898 7213 7292 8470 8865 8942 9075 8436 7750  7330  8246  8523  8004
[11,] 7832 6890 7708 8230 8320 8764 8859 7881 7622  7410  8335  8104  7903
[12,] 7384 6525 7525 8137 8207 8500 8605 7477 7424  7442  8171  7969  7710
      [,14] [,15] [,16] [,17]
 [1,]  7867  8184  7663  6835
 [2,]  7860  7914  7589  6664
 [3,]  7723  7845  7450  6562
 [4,]  7477  7610  7069  6174
 [5,]  7126  7278  6670  5741
 [6,]  7161  6883  6285  5398
 [7,]  7162  7123  6506  5203
 [8,]  7406  7182  6539  5673
 [9,]  7944  7912  7291  6379
[10,]  8084  7893  7391  6418
[11,]  8088  7671  7126  6272
[12,]  7972  7403  6752  6059
> 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] 7204.417 6711.833 6704.583 7524.667 8066.917 8187.000 8304.000 7912.167
 [9] 7274.750 6993.917 7759.500 8246.917 7638.667 7655.833 7574.833 7027.583
[17] 6114.833
> arr.sd
 [1] 509.3303 558.2914 574.5573 597.8766 516.3021 550.2674 540.2642 513.2571
 [9] 351.4454 440.8600 436.5311 317.6343 364.1826 370.2254 397.6346 464.7820
[17] 512.8755
> arr.range
 [1] 1444 1692 1730 1689 1612 1646 1579 1551 1004 1245 1259 1106 1146  962 1301
[16] 1378 1632
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
  691.27378     -0.02943  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      10.8982        -0.5339  

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

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

Coefficients:
(Intercept)     arr.mean  
 2036.00808     -0.08381  

> postscript(file="/var/wessaorg/rcomp/tmp/1028g1461425625.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/2mffd1461425625.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/3g0z71461425625.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/46ypq1461425625.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/516uv1461425625.tab") 
> 
> try(system("convert tmp/1028g1461425625.ps tmp/1028g1461425625.png",intern=TRUE))
character(0)
> try(system("convert tmp/2mffd1461425625.ps tmp/2mffd1461425625.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.865   0.139   1.006