R version 2.7.0 (2008-04-22)
Copyright (C) 2008 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(267.850
+ ,255.468
+ ,246.717
+ ,238.276
+ ,229.336
+ ,231.047
+ ,264.440
+ ,261.308
+ ,257.844
+ ,253.687
+ ,248.286
+ ,248.641
+ ,243.753
+ ,233.495
+ ,222.356
+ ,211.333
+ ,202.478
+ ,202.746
+ ,238.802
+ ,235.385
+ ,224.820
+ ,219.386
+ ,213.106
+ ,213.166
+ ,208.201
+ ,197.775
+ ,189.191
+ ,178.543
+ ,171.809
+ ,172.365
+ ,204.140
+ ,205.467
+ ,193.079
+ ,190.224
+ ,185.553
+ ,185.184
+ ,183.059
+ ,175.496
+ ,168.120
+ ,160.374
+ ,155.290
+ ,156.152
+ ,189.784
+ ,192.250
+ ,184.896
+ ,184.835
+ ,180.172
+ ,181.875
+ ,182.412
+ ,180.627
+ ,174.303
+ ,169.431
+ ,163.902
+ ,166.114
+ ,198.414
+ ,205.626
+ ,199.333
+ ,199.588
+ ,196.569
+ ,200.880
+ ,201.579
+ ,195.483
+ ,190.617
+ ,187.576
+ ,183.968
+ ,186.998
+ ,216.617
+ ,224.692
+ ,222.476
+ ,223.247
+ ,225.618
+ ,232.758
+ ,235.868
+ ,232.863
+ ,227.564
+ ,226.822
+ ,223.864
+ ,227.155
+ ,260.300
+ ,273.944
+ ,270.779
+ ,268.104
+ ,268.703
+ ,273.413
+ ,275.597
+ ,270.111
+ ,262.272
+ ,255.823
+ ,250.753
+ ,250.512
+ ,277.888
+ ,289.694
+ ,281.310
+ ,275.425
+ ,271.287
+ ,274.059
+ ,274.113
+ ,267.546
+ ,257.622
+ ,250.612
+ ,243.829
+ ,243.180
+ ,275.362
+ ,287.027
+ ,279.175
+ ,282.416
+ ,275.424
+ ,277.862
+ ,284.998
+ ,272.182
+ ,258.613
+ ,253.046
+ ,243.315
+ ,234.312
+ ,265.912
+ ,279.384
+ ,262.547
+ ,256.102
+ ,251.133
+ ,249.598
+ ,251.592
+ ,244.976
+ ,237.527
+ ,232.790
+ ,224.726
+ ,223.918
+ ,252.637
+ ,263.736
+ ,251.143
+ ,239.530
+ ,232.401
+ ,233.749
+ ,232.055
+ ,224.473
+ ,215.866
+ ,207.808
+ ,199.440
+ ,193.330
+ ,222.787
+ ,241.434
+ ,221.263
+ ,207.448
+ ,200.241
+ ,205.009
+ ,206.230
+ ,198.253
+ ,194.660
+ ,185.847
+ ,180.314
+ ,176.282
+ ,203.541
+ ,222.042
+ ,197.519
+ ,185.142
+ ,176.355
+ ,180.448
+ ,180.143
+ ,173.666
+ ,165.687
+ ,162.719
+ ,157.079
+ ,153.730
+ ,182.698
+ ,200.765
+ ,176.512
+ ,166.618
+ ,158.644
+ ,159.585
+ ,163.095
+ ,159.044
+ ,155.511
+ ,153.745
+ ,150.569
+ ,150.605
+ ,179.612
+ ,194.690
+ ,189.917
+ ,184.128
+ ,175.335
+ ,179.566
+ ,181.140
+ ,177.876
+ ,175.041
+ ,169.292
+ ,166.070
+ ,166.972
+ ,206.348
+ ,215.706
+ ,202.108
+ ,195.411
+ ,193.111
+ ,195.198
+ ,198.770
+ ,194.163
+ ,190.420
+ ,189.733
+ ,186.029
+ ,191.531
+ ,232.571
+ ,243.477
+ ,227.247
+ ,217.859
+ ,208.679
+ ,213.188
+ ,216.234
+ ,213.587
+ ,209.465
+ ,204.045
+ ,200.237
+ ,203.666
+ ,241.476
+ ,260.307
+ ,243.324
+ ,244.460
+ ,233.575
+ ,237.217
+ ,235.243
+ ,230.354
+ ,227.184
+ ,221.678
+ ,217.142
+ ,219.452
+ ,256.446
+ ,265.845
+ ,248.624
+ ,241.114
+ ,229.245
+ ,231.805
+ ,219.277
+ ,219.313
+ ,212.610
+ ,214.771
+ ,211.142
+ ,211.457
+ ,240.048
+ ,240.636
+ ,230.580
+ ,208.795
+ ,197.922
+ ,194.596
+ ,194.581
+ ,185.686
+ ,178.106
+ ,172.608
+ ,167.302
+ ,168.053
+ ,202.300
+ ,202.388
+ ,182.516
+ ,173.476
+ ,166.444
+ ,171.297)
> 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] 252
> (np <- floor(n / par1))
[1] 21
> 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]
 [1,] 267.850 243.753 208.201 183.059 182.412 201.579 235.868 275.597 274.113
 [2,] 255.468 233.495 197.775 175.496 180.627 195.483 232.863 270.111 267.546
 [3,] 246.717 222.356 189.191 168.120 174.303 190.617 227.564 262.272 257.622
 [4,] 238.276 211.333 178.543 160.374 169.431 187.576 226.822 255.823 250.612
 [5,] 229.336 202.478 171.809 155.290 163.902 183.968 223.864 250.753 243.829
 [6,] 231.047 202.746 172.365 156.152 166.114 186.998 227.155 250.512 243.180
 [7,] 264.440 238.802 204.140 189.784 198.414 216.617 260.300 277.888 275.362
 [8,] 261.308 235.385 205.467 192.250 205.626 224.692 273.944 289.694 287.027
 [9,] 257.844 224.820 193.079 184.896 199.333 222.476 270.779 281.310 279.175
[10,] 253.687 219.386 190.224 184.835 199.588 223.247 268.104 275.425 282.416
[11,] 248.286 213.106 185.553 180.172 196.569 225.618 268.703 271.287 275.424
[12,] 248.641 213.166 185.184 181.875 200.880 232.758 273.413 274.059 277.862
        [,10]   [,11]   [,12]   [,13]   [,14]   [,15]   [,16]   [,17]   [,18]
 [1,] 284.998 251.592 232.055 206.230 180.143 163.095 181.140 198.770 216.234
 [2,] 272.182 244.976 224.473 198.253 173.666 159.044 177.876 194.163 213.587
 [3,] 258.613 237.527 215.866 194.660 165.687 155.511 175.041 190.420 209.465
 [4,] 253.046 232.790 207.808 185.847 162.719 153.745 169.292 189.733 204.045
 [5,] 243.315 224.726 199.440 180.314 157.079 150.569 166.070 186.029 200.237
 [6,] 234.312 223.918 193.330 176.282 153.730 150.605 166.972 191.531 203.666
 [7,] 265.912 252.637 222.787 203.541 182.698 179.612 206.348 232.571 241.476
 [8,] 279.384 263.736 241.434 222.042 200.765 194.690 215.706 243.477 260.307
 [9,] 262.547 251.143 221.263 197.519 176.512 189.917 202.108 227.247 243.324
[10,] 256.102 239.530 207.448 185.142 166.618 184.128 195.411 217.859 244.460
[11,] 251.133 232.401 200.241 176.355 158.644 175.335 193.111 208.679 233.575
[12,] 249.598 233.749 205.009 180.448 159.585 179.566 195.198 213.188 237.217
        [,19]   [,20]   [,21]
 [1,] 235.243 219.277 194.581
 [2,] 230.354 219.313 185.686
 [3,] 227.184 212.610 178.106
 [4,] 221.678 214.771 172.608
 [5,] 217.142 211.142 167.302
 [6,] 219.452 211.457 168.053
 [7,] 256.446 240.048 202.300
 [8,] 265.845 240.636 202.388
 [9,] 248.624 230.580 182.516
[10,] 241.114 208.795 173.476
[11,] 229.245 197.922 166.444
[12,] 231.805 194.596 171.297
> 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] 250.2417 221.7355 190.1276 176.0252 186.4332 207.6358 249.1149 269.5609
 [9] 267.8473 259.2618 240.7271 214.2628 192.2194 169.8205 169.6514 187.0228
[17] 207.8056 225.6327 235.3443 216.7622 180.3964
> arr.sd
 [1] 12.42636 13.82889 12.27348 12.94171 15.28346 18.22210 21.46131 12.30490
 [9] 15.22233 14.69231 12.23674 14.49629 14.01620 13.54525 15.98973 16.55647
[17] 19.14127 20.01449 15.06683 14.48089 13.18457
> arr.range
 [1] 38.514 41.275 36.392 36.960 41.724 48.790 50.080 39.182 43.847 50.686
[11] 39.818 48.104 45.760 47.035 44.121 49.636 57.448 60.070 48.703 46.040
[21] 35.944
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
  14.043403     0.004975  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      2.37186        0.06163  

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

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

Coefficients:
(Intercept)     arr.mean  
   40.00695      0.02435  

> postscript(file="/var/www/html/rcomp/tmp/17uyp1228473617.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/2gfcd1228473617.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/3neab1228473617.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/45jmb1228473618.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/55j8i1228473618.tab") 
> 
> system("convert tmp/17uyp1228473617.ps tmp/17uyp1228473617.png")
> system("convert tmp/2gfcd1228473617.ps tmp/2gfcd1228473617.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.390   0.461   1.494