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(8715.1
+ ,8919.9
+ ,10085.8
+ ,9511.7
+ ,8991.3
+ ,10311.2
+ ,8895.4
+ ,7449.8
+ ,10084.0
+ ,9859.4
+ ,9100.1
+ ,8920.8
+ ,8502.7
+ ,8599.6
+ ,10394.4
+ ,9290.4
+ ,8742.2
+ ,10217.3
+ ,8639.0
+ ,8139.6
+ ,10779.1
+ ,10427.7
+ ,10349.1
+ ,10036.4
+ ,9492.1
+ ,10638.8
+ ,12054.5
+ ,10324.7
+ ,11817.3
+ ,11008.9
+ ,9996.6
+ ,9419.5
+ ,11958.8
+ ,12594.6
+ ,11890.6
+ ,10871.7
+ ,11835.7
+ ,11542.2
+ ,13093.7
+ ,11180.2
+ ,12035.7
+ ,12112.0
+ ,10875.2
+ ,9897.3
+ ,11672.1
+ ,12385.7
+ ,11405.6
+ ,9830.9
+ ,11025.1
+ ,10853.8
+ ,12252.6
+ ,11839.4
+ ,11669.1
+ ,11601.4
+ ,11178.4
+ ,9516.4
+ ,12102.8
+ ,12989.0
+ ,11610.2
+ ,10205.5
+ ,11356.2
+ ,11307.1
+ ,12648.6
+ ,11947.2
+ ,11714.1
+ ,12192.5
+ ,11268.8
+ ,9097.4
+ ,12639.8
+ ,13040.1
+ ,11687.3
+ ,11191.7
+ ,11391.9
+ ,11793.1
+ ,13933.2
+ ,12778.1
+ ,11810.3
+ ,13698.4
+ ,11956.6
+ ,10723.8
+ ,13938.9
+ ,13979.8
+ ,13807.4
+ ,12973.9
+ ,12509.8
+ ,12934.1
+ ,14908.3
+ ,13772.1
+ ,13012.6
+ ,14049.9
+ ,11816.5
+ ,11593.2
+ ,14466.2
+ ,13615.9
+ ,14733.9
+ ,13880.7
+ ,13527.5
+ ,13584.0
+ ,16170.2
+ ,13260.6
+ ,14741.9
+ ,15486.5
+ ,13154.5
+ ,12621.2
+ ,15031.6
+ ,15452.4
+ ,15428.0
+ ,13105.9
+ ,14716.8
+ ,14180.0
+ ,16202.2
+ ,14392.4
+ ,15140.6
+ ,15960.1
+ ,14351.3
+ ,13230.2
+ ,15202.1
+ ,17056.0
+ ,16077.7
+ ,13348.2
+ ,16402.4
+ ,16559.1
+ ,16579.0
+ ,17561.2
+ ,16129.6
+ ,18484.3
+ ,16402.6
+ ,14032.3
+ ,17109.1
+ ,17157.2
+ ,13879.8
+ ,12362.4)
> 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] 132
> (np <- floor(n / par1))
[1] 11
> 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,]  8715.1  8502.7  9492.1 11835.7 11025.1 11356.2 11391.9 12509.8 13527.5
 [2,]  8919.9  8599.6 10638.8 11542.2 10853.8 11307.1 11793.1 12934.1 13584.0
 [3,] 10085.8 10394.4 12054.5 13093.7 12252.6 12648.6 13933.2 14908.3 16170.2
 [4,]  9511.7  9290.4 10324.7 11180.2 11839.4 11947.2 12778.1 13772.1 13260.6
 [5,]  8991.3  8742.2 11817.3 12035.7 11669.1 11714.1 11810.3 13012.6 14741.9
 [6,] 10311.2 10217.3 11008.9 12112.0 11601.4 12192.5 13698.4 14049.9 15486.5
 [7,]  8895.4  8639.0  9996.6 10875.2 11178.4 11268.8 11956.6 11816.5 13154.5
 [8,]  7449.8  8139.6  9419.5  9897.3  9516.4  9097.4 10723.8 11593.2 12621.2
 [9,] 10084.0 10779.1 11958.8 11672.1 12102.8 12639.8 13938.9 14466.2 15031.6
[10,]  9859.4 10427.7 12594.6 12385.7 12989.0 13040.1 13979.8 13615.9 15452.4
[11,]  9100.1 10349.1 11890.6 11405.6 11610.2 11687.3 13807.4 14733.9 15428.0
[12,]  8920.8 10036.4 10871.7  9830.9 10205.5 11191.7 12973.9 13880.7 13105.9
        [,10]   [,11]
 [1,] 14716.8 16402.4
 [2,] 14180.0 16559.1
 [3,] 16202.2 16579.0
 [4,] 14392.4 17561.2
 [5,] 15140.6 16129.6
 [6,] 15960.1 18484.3
 [7,] 14351.3 16402.6
 [8,] 13230.2 14032.3
 [9,] 15202.1 17109.1
[10,] 17056.0 17157.2
[11,] 16077.7 13879.8
[12,] 13348.2 12362.4
> 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]  9237.042  9509.792 11005.675 11488.858 11403.642 11674.233 12732.117
 [8] 13441.100 14297.025 14988.133 16054.917
> arr.sd
 [1]  793.0045  945.5287 1062.4315  952.7266  932.1832 1016.4729 1158.7059
 [8] 1084.6399 1205.3829 1176.1957 1751.1031
> arr.range
 [1] 2861.4 2639.5 3175.1 3262.8 3472.6 3942.7 3256.0 3315.1 3549.0 3825.8
[11] 6121.9
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
 -101.40851      0.09713  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -2.3556         0.9925  

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

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

Coefficients:
(Intercept)     arr.mean  
  -363.5341       0.3197  

> postscript(file="/var/www/html/rcomp/tmp/1ji7u1260970056.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/2d9121260970056.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/3lurv1260970056.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/412ok1260970056.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5w59l1260970056.tab") 
> 
> try(system("convert tmp/1ji7u1260970056.ps tmp/1ji7u1260970056.png",intern=TRUE))
character(0)
> try(system("convert tmp/2d9121260970056.ps tmp/2d9121260970056.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.487   0.289   0.629