R version 2.10.1 (2009-12-14)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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Type 'contributors()' for more information and
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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(178600
+ ,181600
+ ,178500
+ ,176700
+ ,183500
+ ,175900
+ ,179800
+ ,186500
+ ,182700
+ ,182800
+ ,178600
+ ,183300
+ ,182900
+ ,191400
+ ,189300
+ ,192200
+ ,187900
+ ,193900
+ ,189100
+ ,193100
+ ,194800
+ ,200200
+ ,211500
+ ,202100
+ ,200300
+ ,199200
+ ,204900
+ ,207300
+ ,200000
+ ,197700
+ ,202200
+ ,200200
+ ,208300
+ ,215100
+ ,210700
+ ,208100
+ ,209000
+ ,211000
+ ,210200
+ ,205500
+ ,211400
+ ,211700
+ ,209300
+ ,207500
+ ,203300
+ ,207100
+ ,206900
+ ,228700
+ ,226900
+ ,265000
+ ,227100
+ ,228100
+ ,226500
+ ,225200
+ ,217800
+ ,221300
+ ,215300
+ ,231300
+ ,227100
+ ,237800
+ ,230200
+ ,233400
+ ,231100
+ ,237200
+ ,243700
+ ,239700
+ ,248400
+ ,241000
+ ,254500
+ ,242800
+ ,268300
+ ,253900
+ ,262100
+ ,264100
+ ,261000
+ ,269300
+ ,260400
+ ,263200
+ ,279200
+ ,272200
+ ,269200
+ ,289600
+ ,283200
+ ,284300
+ ,283000
+ ,289100
+ ,289600
+ ,289100
+ ,287400
+ ,279600
+ ,289300
+ ,295000
+ ,299600
+ ,293600
+ ,294400
+ ,290200
+ ,301000
+ ,307900
+ ,298800
+ ,310300
+ ,293900
+ ,305000
+ ,311300
+ ,317300
+ ,296200
+ ,306800
+ ,291800
+ ,301900
+ ,314600
+ ,321500
+ ,329400
+ ,311700
+ ,309700
+ ,306500
+ ,307100
+ ,301300
+ ,292200
+ ,310100
+ ,316800
+ ,284400
+ ,284600
+ ,301200
+ ,287600
+ ,314300
+ ,298200
+ ,299400
+ ,301900
+ ,265500
+ ,287100
+ ,274000
+ ,290100
+ ,263100
+ ,245200
+ ,258600
+ ,259800
+ ,269800
+ ,274600
+ ,274800
+ ,271100
+ ,257800
+ ,290300
+ ,262200
+ ,270000
+ ,290600)
> 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] 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]  [,10]
 [1,] 178600 182900 200300 209000 226900 230200 262100 283000 301000 314600
 [2,] 181600 191400 199200 211000 265000 233400 264100 289100 307900 321500
 [3,] 178500 189300 204900 210200 227100 231100 261000 289600 298800 329400
 [4,] 176700 192200 207300 205500 228100 237200 269300 289100 310300 311700
 [5,] 183500 187900 200000 211400 226500 243700 260400 287400 293900 309700
 [6,] 175900 193900 197700 211700 225200 239700 263200 279600 305000 306500
 [7,] 179800 189100 202200 209300 217800 248400 279200 289300 311300 307100
 [8,] 186500 193100 200200 207500 221300 241000 272200 295000 317300 301300
 [9,] 182700 194800 208300 203300 215300 254500 269200 299600 296200 292200
[10,] 182800 200200 215100 207100 231300 242800 289600 293600 306800 310100
[11,] 178600 211500 210700 206900 227100 268300 283200 294400 291800 316800
[12,] 183300 202100 208100 228700 237800 253900 284300 290200 301900 284400
       [,11]  [,12]
 [1,] 284600 245200
 [2,] 301200 258600
 [3,] 287600 259800
 [4,] 314300 269800
 [5,] 298200 274600
 [6,] 299400 274800
 [7,] 301900 271100
 [8,] 265500 257800
 [9,] 287100 290300
[10,] 274000 262200
[11,] 290100 270000
[12,] 263100 290600
> 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] 180708.3 194033.3 204500.0 210133.3 229116.7 243683.3 271483.3 289991.7
 [9] 303516.7 308775.0 288916.7 268733.3
> arr.sd
 [1]  3176.178  7557.457  5412.108  6369.435 12735.479 11124.815 10196.776
 [8]  5357.316  7647.083 12171.287 15439.785 13216.266
> arr.range
 [1] 10600 28600 17400 25400 49700 38100 29200 20000 25500 45000 51200 45400
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
 -1.823e+03    4.419e-02  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       -9.340          1.480  

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

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

Coefficients:
(Intercept)     arr.mean  
 -2128.5828       0.1375  

> postscript(file="/var/www/rcomp/tmp/1t45t1274448513.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/rcomp/tmp/2t45t1274448513.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/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/rcomp/tmp/3x5lh1274448513.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/4i5151274448513.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/rcomp/tmp/5loib1274448513.tab") 
> 
> try(system("convert tmp/1t45t1274448513.ps tmp/1t45t1274448513.png",intern=TRUE))
character(0)
> try(system("convert tmp/2t45t1274448513.ps tmp/2t45t1274448513.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.640   0.470   1.018