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(250785
+ ,250140
+ ,255755
+ ,254671
+ ,253919
+ ,253741
+ ,252729
+ ,253810
+ ,256653
+ ,255231
+ ,258405
+ ,251061
+ ,254811
+ ,254895
+ ,258325
+ ,257608
+ ,258759
+ ,258621
+ ,257852
+ ,260560
+ ,262358
+ ,260812
+ ,261165
+ ,257164
+ ,260720
+ ,259581
+ ,264743
+ ,261845
+ ,262262
+ ,261631
+ ,258953
+ ,259966
+ ,262850
+ ,262204
+ ,263418
+ ,262752
+ ,266433
+ ,267722
+ ,266003
+ ,262971
+ ,265521
+ ,264676
+ ,270223
+ ,269508
+ ,268457
+ ,265814
+ ,266680
+ ,263018
+ ,269285
+ ,269829
+ ,270911
+ ,266844
+ ,271244
+ ,269907
+ ,271296
+ ,270157
+ ,271322
+ ,267179
+ ,264101
+ ,265518
+ ,269419
+ ,268714
+ ,272482
+ ,268351
+ ,268175
+ ,270674
+ ,272764
+ ,272599
+ ,270333
+ ,270846
+ ,270491
+ ,269160
+ ,274027
+ ,273784
+ ,276663
+ ,274525
+ ,271344
+ ,271115
+ ,270798
+ ,273911
+ ,273985
+ ,271917
+ ,273338
+ ,270601
+ ,273547
+ ,275363
+ ,281229
+ ,277793
+ ,279913
+ ,282500
+ ,280041
+ ,282166
+ ,290304
+ ,283519
+ ,287816
+ ,285226
+ ,287595
+ ,289741
+ ,289148
+ ,288301
+ ,290155
+ ,289648
+ ,288225
+ ,289351
+ ,294735
+ ,305333
+ ,309030
+ ,310215
+ ,321935
+ ,325734
+ ,320846
+ ,323023
+ ,319753
+ ,321753
+ ,320757
+ ,324479
+ ,324641
+ ,322767
+ ,324181
+ ,321389
+ ,327897
+ ,334287
+ ,332653
+ ,334819
+ ,335264
+ ,339622
+ ,342440
+ ,346585
+ ,335378
+ ,337010
+ ,339130
+ ,341193
+ ,343507
+ ,348915
+ ,346431
+ ,348322
+ ,348288
+ ,346597
+ ,351076
+ ,355215
+ ,350562
+ ,355266
+ ,361565
+ ,363462
+ ,366183
+ ,365423
+ ,369208
+ ,366713
+ ,369354
+ ,371970
+ ,371824
+ ,373187
+ ,367270
+ ,368140
+ ,373742
+ ,364815
+ ,368558
+ ,371503
+ ,372611
+ ,370197
+ ,375441
+ ,375888
+ ,375132
+ ,381142
+ ,372024
+ ,376070
+ ,376864
+ ,371401
+ ,375687
+ ,384304
+ ,380738
+ ,379908
+ ,384007
+ ,384499
+ ,385106
+ ,387935
+ ,380435
+ ,379281
+ ,384153
+ ,380599)
> 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] 180
> (np <- floor(n / par1))
[1] 15
> 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,] 250785 254811 260720 266433 269285 269419 274027 273547 287595 321935
 [2,] 250140 254895 259581 267722 269829 268714 273784 275363 289741 325734
 [3,] 255755 258325 264743 266003 270911 272482 276663 281229 289148 320846
 [4,] 254671 257608 261845 262971 266844 268351 274525 277793 288301 323023
 [5,] 253919 258759 262262 265521 271244 268175 271344 279913 290155 319753
 [6,] 253741 258621 261631 264676 269907 270674 271115 282500 289648 321753
 [7,] 252729 257852 258953 270223 271296 272764 270798 280041 288225 320757
 [8,] 253810 260560 259966 269508 270157 272599 273911 282166 289351 324479
 [9,] 256653 262358 262850 268457 271322 270333 273985 290304 294735 324641
[10,] 255231 260812 262204 265814 267179 270846 271917 283519 305333 322767
[11,] 258405 261165 263418 266680 264101 270491 273338 287816 309030 324181
[12,] 251061 257164 262752 263018 265518 269160 270601 285226 310215 321389
       [,11]  [,12]  [,13]  [,14]  [,15]
 [1,] 327897 343507 366183 368558 375687
 [2,] 334287 348915 365423 371503 384304
 [3,] 332653 346431 369208 372611 380738
 [4,] 334819 348322 366713 370197 379908
 [5,] 335264 348288 369354 375441 384007
 [6,] 339622 346597 371970 375888 384499
 [7,] 342440 351076 371824 375132 385106
 [8,] 346585 355215 373187 381142 387935
 [9,] 335378 350562 367270 372024 380435
[10,] 337010 355266 368140 376070 379281
[11,] 339130 361565 373742 376864 384153
[12,] 341193 363462 364815 371401 380599
> 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] 253908.3 258577.5 261743.8 266418.8 268966.1 270334.0 273000.7 281618.1
 [9] 294289.8 322604.8 337189.8 351600.5 368985.8 373902.6 382221.0
> arr.sd
 [1] 2467.718 2359.137 1684.598 2291.703 2456.080 1637.206 1843.895 4824.308
 [9] 8637.488 1844.626 4950.200 6135.123 3077.589 3479.890 3332.080
> arr.range
 [1]  8265  7547  5790  7252  7221  4589  6062 16757 22620  5981 18688 19955
[13]  8927 12584 12248
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   -554.227        0.013  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -10.551          1.471  

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

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

Coefficients:
(Intercept)     arr.mean  
 -4.699e+03    5.147e-02  

> postscript(file="/var/wessaorg/rcomp/tmp/1hevu1461518641.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/2loai1461518641.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/31bvc1461518641.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4rycp1461518641.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5f7k71461518641.tab") 
> 
> try(system("convert tmp/1hevu1461518641.ps tmp/1hevu1461518641.png",intern=TRUE))
character(0)
> try(system("convert tmp/2loai1461518641.ps tmp/2loai1461518641.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.095   0.186   1.282