R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> x <- c(23100
+ ,22650
+ ,22440
+ ,22910
+ ,22980
+ ,22535
+ ,22300
+ ,22780
+ ,22780
+ ,23300
+ ,23800
+ ,24510
+ ,24660
+ ,24730
+ ,25070
+ ,24690
+ ,24880
+ ,23920
+ ,23880
+ ,23990
+ ,24590
+ ,23610
+ ,23580
+ ,23360
+ ,23910
+ ,23940
+ ,23060
+ ,22800
+ ,23020
+ ,22890
+ ,22780
+ ,22530
+ ,22290
+ ,22820
+ ,22480
+ ,22110
+ ,22000
+ ,22230
+ ,22260
+ ,22590
+ ,22820
+ ,22420
+ ,22230
+ ,21600
+ ,21000
+ ,21360
+ ,21640
+ ,21450
+ ,21710
+ ,21620
+ ,21800
+ ,21490
+ ,21670
+ ,22130
+ ,22050
+ ,22050
+ ,22140
+ ,22390
+ ,22220
+ ,21790
+ ,21510
+ ,21670
+ ,21745
+ ,21850
+ ,22105
+ ,22050
+ ,21670
+ ,21680
+ ,21800
+ ,21920
+ ,21980
+ ,22270
+ ,21740
+ ,21950
+ ,22010
+ ,21890
+ ,21920
+ ,22110
+ ,22340
+ ,22210
+ ,22240
+ ,21960
+ ,22220
+ ,22060
+ ,22090
+ ,21960
+ ,21940
+ ,21790
+ ,21710
+ ,21690
+ ,21710
+ ,21670
+ ,21640
+ ,21500
+ ,21290
+ ,21250
+ ,21580
+ ,21670
+ ,21620
+ ,21510
+ ,21360
+ ,21420
+ ,21470
+ ,21370
+ ,21370
+ ,21340
+ ,21130
+ ,21130
+ ,20990
+ ,21240
+ ,21320
+ ,21430
+ ,21390
+ ,21530
+ ,21510
+ ,21630
+ ,21560
+ ,21610
+ ,21560
+ ,21310
+ ,21340
+ ,21410
+ ,21550
+ ,21380
+ ,21600
+ ,21530
+ ,21560
+ ,21670
+ ,21540
+ ,21540
+ ,21550
+ ,21590
+ ,21420
+ ,21420
+ ,21370
+ ,21380
+ ,21210
+ ,21505
+ ,21365
+ ,21385
+ ,21350
+ ,21360
+ ,21530
+ ,21380
+ ,21630
+ ,22145
+ ,22315
+ ,22340
+ ,22440
+ ,22135
+ ,21955
+ ,22060
+ ,22050
+ ,22035
+ ,22280
+ ,22315
+ ,22205
+ ,21970
+ ,22075
+ ,22115
+ ,22105
+ ,21885
+ ,21805
+ ,21910
+ ,21995
+ ,22245
+ ,22100
+ ,22130
+ ,22300
+ ,22915
+ ,23040
+ ,22880
+ ,23000
+ ,23160
+ ,23020
+ ,22770
+ ,22660
+ ,22740
+ ,22905
+ ,22720
+ ,22705
+ ,22735
+ ,22600
+ ,22510
+ ,22560
+ ,22575
+ ,22685
+ ,22980
+ ,23275
+ ,23845
+ ,23640
+ ,23640
+ ,23835
+ ,23625
+ ,24055
+ ,24005
+ ,24325
+ ,24445
+ ,24670
+ ,24615
+ ,24700
+ ,25065
+ ,25185
+ ,25220
+ ,25235
+ ,24975
+ ,25055
+ ,25520
+ ,25880
+ ,25960
+ ,25740
+ ,24965
+ ,25235
+ ,24895
+ ,24635
+ ,24835
+ ,24635
+ ,24695
+ ,25090
+ ,25220
+ ,24740
+ ,25005
+ ,24650
+ ,24460
+ ,24680
+ ,24840
+ ,24630
+ ,24490
+ ,24695)
> 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] 229
> (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]
 [1,] 23100 24660 23910 22000 21710 21510 21740 22090 21580 20990 21340 21420
 [2,] 22650 24730 23940 22230 21620 21670 21950 21960 21670 21240 21410 21420
 [3,] 22440 25070 23060 22260 21800 21745 22010 21940 21620 21320 21550 21370
 [4,] 22910 24690 22800 22590 21490 21850 21890 21790 21510 21430 21380 21380
 [5,] 22980 24880 23020 22820 21670 22105 21920 21710 21360 21390 21600 21210
 [6,] 22535 23920 22890 22420 22130 22050 22110 21690 21420 21530 21530 21505
 [7,] 22300 23880 22780 22230 22050 21670 22340 21710 21470 21510 21560 21365
 [8,] 22780 23990 22530 21600 22050 21680 22210 21670 21370 21630 21670 21385
 [9,] 22780 24590 22290 21000 22140 21800 22240 21640 21370 21560 21540 21350
[10,] 23300 23610 22820 21360 22390 21920 21960 21500 21340 21610 21540 21360
[11,] 23800 23580 22480 21640 22220 21980 22220 21290 21130 21560 21550 21530
[12,] 24510 23360 22110 21450 21790 22270 22060 21250 21130 21310 21590 21380
      [,13] [,14] [,15] [,16] [,17] [,18] [,19]
 [1,] 21630 22205 22300 22705 23835 25235 24635
 [2,] 22145 21970 22915 22735 23625 24975 24695
 [3,] 22315 22075 23040 22600 24055 25055 25090
 [4,] 22340 22115 22880 22510 24005 25520 25220
 [5,] 22440 22105 23000 22560 24325 25880 24740
 [6,] 22135 21885 23160 22575 24445 25960 25005
 [7,] 21955 21805 23020 22685 24670 25740 24650
 [8,] 22060 21910 22770 22980 24615 24965 24460
 [9,] 22050 21995 22660 23275 24700 25235 24680
[10,] 22035 22245 22740 23845 25065 24895 24840
[11,] 22280 22100 22905 23640 25185 24635 24630
[12,] 22315 22130 22720 23640 25220 24835 24490
> 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] 23007.08 24246.67 22885.83 21966.67 21921.67 21854.17 22054.17 21686.67
 [9] 21414.17 21423.33 21521.67 21389.58 22141.67 22045.00 22842.50 22979.17
[17] 24478.75 25244.17 24761.25
> arr.sd
 [1] 622.83245 583.16275 562.43720 552.56975 277.97427 218.64077 174.90040
 [8] 252.02213 170.95764 185.83146  96.37364  80.21160 219.65193 133.07551
[15] 226.65051 489.41911 528.12759 435.40907 234.60920
> arr.range
 [1] 2210 1710 1830 1820  900  760  600  840  540  640  330  320  810  440  860
[16] 1335 1595 1325  760
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
 -1616.2123       0.0855  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -66.928          7.233  

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

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

Coefficients:
(Intercept)     arr.mean  
 -4397.6700       0.2400  

> postscript(file="/var/www/html/rcomp/tmp/19czo1274912869.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/2vcyu1274912869.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/3yvwi1274912869.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/4umur1274912869.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5fnsx1274912869.tab") 
> 
> try(system("convert tmp/19czo1274912869.ps tmp/19czo1274912869.png",intern=TRUE))
character(0)
> try(system("convert tmp/2vcyu1274912869.ps tmp/2vcyu1274912869.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.539   0.297   3.727