R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(1384.2,1368.9,-275.1,-408.9,-37.5,171.5,671.8,-18.5,231.6,747.5,1505.7,-83.6,1173.2,1452.1,777,-52.8,861.2,735.2,1073.6,966.9,1189.8,1093.5,1782.7,-70.4,1471.6,1273.8,900.8,-910.2,299.8,460.2,677.2,937.1,1265.4,1275.6,1582.6,-154.2,1667.6,1083.1,891.7,-26.5,423.4,662.8,711.4,993.3,1133.2,343.9,1415.8,-531.8,1193.6,1201.3,805.6,-164.8,327.3,223.7,675.8,949.7,704.4,265.6,1206,-558.2,1066.8,977.8,207.1,-980.7,-586.4,-24.3,-417.5,104.7,749.5,842.3,1176,-730.3,911.6,662.1,539.1,-236,286.9,497.4,912,519.4,260.1,945.2,412.7,-54.2,592.8,179.9,-548.6,-1685.8,-2041,-1048.7,-1708.4,-1550.7,-1650.2,-911.3)
> 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] 94
> (np <- floor(n / par1))
[1] 7
> 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]
 [1,] 1384.2 1173.2 1471.6 1667.6 1193.6 1066.8  911.6
 [2,] 1368.9 1452.1 1273.8 1083.1 1201.3  977.8  662.1
 [3,] -275.1  777.0  900.8  891.7  805.6  207.1  539.1
 [4,] -408.9  -52.8 -910.2  -26.5 -164.8 -980.7 -236.0
 [5,]  -37.5  861.2  299.8  423.4  327.3 -586.4  286.9
 [6,]  171.5  735.2  460.2  662.8  223.7  -24.3  497.4
 [7,]  671.8 1073.6  677.2  711.4  675.8 -417.5  912.0
 [8,]  -18.5  966.9  937.1  993.3  949.7  104.7  519.4
 [9,]  231.6 1189.8 1265.4 1133.2  704.4  749.5  260.1
[10,]  747.5 1093.5 1275.6  343.9  265.6  842.3  945.2
[11,] 1505.7 1782.7 1582.6 1415.8 1206.0 1176.0  412.7
[12,]  -83.6  -70.4 -154.2 -531.8 -558.2 -730.3  -54.2
> 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] 438.1333 915.1667 756.6417 730.6583 569.1667 198.7500 471.3583
> arr.sd
[1] 680.7909 539.7969 735.6637 613.8184 564.4864 759.3093 371.1315
> arr.range
[1] 1914.6 1853.1 2492.8 2199.4 1764.2 2156.7 1181.2
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
   679.2875      -0.1201  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       7.1228        -0.1170  

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

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

Coefficients:
(Intercept)     arr.mean  
  1745.7688       0.3288  

> postscript(file="/var/www/html/rcomp/tmp/1vxjy1229902861.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/2kf9z1229902861.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/3frgf1229902861.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/4g3mv1229902862.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5qziw1229902862.tab") 
> 
> system("convert tmp/1vxjy1229902861.ps tmp/1vxjy1229902861.png")
> system("convert tmp/2kf9z1229902861.ps tmp/2kf9z1229902861.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.509   0.281   0.607