R version 2.9.0 (2009-04-17)
Copyright (C) 2009 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(897262
+ ,1133132
+ ,1384548
+ ,2324057
+ ,2502808
+ ,2516762
+ ,5579822
+ ,4945991
+ ,2019915
+ ,1830905
+ ,1251016
+ ,949902
+ ,923000
+ ,1215747
+ ,1479112
+ ,2371781
+ ,2521576
+ ,2350559
+ ,5673323
+ ,4414295
+ ,2016902
+ ,1958302
+ ,1284086
+ ,1186305
+ ,957833
+ ,1255719
+ ,1482709
+ ,2361136
+ ,2508100
+ ,2254488
+ ,5669953
+ ,4227480
+ ,2067790
+ ,1958419
+ ,1318158
+ ,1287921
+ ,1076982
+ ,1293669
+ ,1582053
+ ,2393005
+ ,2310531
+ ,2597899
+ ,5507587
+ ,4194133
+ ,2185092
+ ,2122018
+ ,1413348
+ ,1338342
+ ,1052655
+ ,1370046
+ ,1887027
+ ,2448017
+ ,2550796
+ ,2655837
+ ,5269499
+ ,4247405
+ ,2109722
+ ,2143145
+ ,1582013
+ ,1413221
+ ,1118520
+ ,1478655
+ ,2000108
+ ,2085234
+ ,2651805
+ ,2522176
+ ,5170142
+ ,4150129
+ ,2104254
+ ,2211398
+ ,1505900
+ ,1524305
+ ,1093144
+ ,1449647
+ ,1771197
+ ,2445932
+ ,2678945
+ ,2400737
+ ,4796880
+ ,4118001
+ ,2125714
+ ,2125515
+ ,1508760
+ ,1508765
+ ,1091075
+ ,1514814
+ ,1748997
+ ,2424406
+ ,2747942
+ ,2377332
+ ,5210706
+ ,3882821
+ ,2197469
+ ,2271155
+ ,1618917
+ ,1391579
+ ,1143249
+ ,1445785
+ ,1870242
+ ,2597788
+ ,2436231
+ ,2684184
+ ,4705109
+ ,4331347
+ ,2369192
+ ,2283947
+ ,1749607
+ ,1598601
+ ,1221234
+ ,1497778
+ ,1823567
+ ,2489908
+ ,2532837
+ ,2456065
+ ,4627018
+ ,4276894
+ ,2314950
+ ,2238987
+ ,1652753
+ ,1561968
+ ,1115878
+ ,1596714
+ ,1910242
+ ,2286450
+ ,2772441
+ ,2394538
+ ,4715128
+ ,4402420
+ ,2325392
+ ,2306683
+ ,1725282
+ ,1541370
+ ,1168142
+ ,1457835
+ ,1816380
+ ,2446552
+ ,2575774
+ ,2537852
+ ,4728097
+ ,4372685
+ ,2302672
+ ,2346402
+ ,1689915
+ ,1576183)
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = ''
> par6 = ''
> par5 = ''
> par4 = ''
> par3 = ''
> par2 = ''
> par1 = '12'
> ylab = ''
> xlab = ''
> main = ''
> #'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] 144
> (np <- floor(n / par1))
[1] 12
> 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,]  897262  923000  957833 1076982 1052655 1118520 1093144 1091075 1143249
 [2,] 1133132 1215747 1255719 1293669 1370046 1478655 1449647 1514814 1445785
 [3,] 1384548 1479112 1482709 1582053 1887027 2000108 1771197 1748997 1870242
 [4,] 2324057 2371781 2361136 2393005 2448017 2085234 2445932 2424406 2597788
 [5,] 2502808 2521576 2508100 2310531 2550796 2651805 2678945 2747942 2436231
 [6,] 2516762 2350559 2254488 2597899 2655837 2522176 2400737 2377332 2684184
 [7,] 5579822 5673323 5669953 5507587 5269499 5170142 4796880 5210706 4705109
 [8,] 4945991 4414295 4227480 4194133 4247405 4150129 4118001 3882821 4331347
 [9,] 2019915 2016902 2067790 2185092 2109722 2104254 2125714 2197469 2369192
[10,] 1830905 1958302 1958419 2122018 2143145 2211398 2125515 2271155 2283947
[11,] 1251016 1284086 1318158 1413348 1582013 1505900 1508760 1618917 1749607
[12,]  949902 1186305 1287921 1338342 1413221 1524305 1508765 1391579 1598601
        [,10]   [,11]   [,12]
 [1,] 1221234 1115878 1168142
 [2,] 1497778 1596714 1457835
 [3,] 1823567 1910242 1816380
 [4,] 2489908 2286450 2446552
 [5,] 2532837 2772441 2575774
 [6,] 2456065 2394538 2537852
 [7,] 4627018 4715128 4728097
 [8,] 4276894 4402420 4372685
 [9,] 2314950 2325392 2302672
[10,] 2238987 2306683 2346402
[11,] 1652753 1725282 1689915
[12,] 1561968 1541370 1576183
> 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] 2278010 2282916 2279142 2334555 2394115 2376886 2335270 2373101 2434607
[10] 2391163 2424378 2418207
> arr.sd
 [1] 1514486 1417993 1376242 1305209 1231015 1177359 1106667 1160626 1087144
[10] 1059154 1097720 1099612
> arr.range
 [1] 4682560 4750323 4712120 4430605 4216844 4051622 3703736 4119631 3561860
[10] 3405784 3599250 3559955
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
  6.594e+06   -2.277e+00  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       76.311         -4.246  

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

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

Coefficients:
(Intercept)     arr.mean  
  2.156e+07   -7.412e+00  

> postscript(file="/var/www/html/rcomp/tmp/1ixjm1261215175.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/2f0ly1261215175.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/320va1261215176.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/48zt31261215176.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5s29u1261215176.tab") 
> try(system("convert tmp/1ixjm1261215175.ps tmp/1ixjm1261215175.png",intern=TRUE))
character(0)
> try(system("convert tmp/2f0ly1261215175.ps tmp/2f0ly1261215175.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.518   0.288   0.657