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(277
+ ,260.6
+ ,291.6
+ ,275.4
+ ,275.3
+ ,231.7
+ ,238.8
+ ,274.2
+ ,277.8
+ ,299.1
+ ,286.6
+ ,232.3
+ ,294.1
+ ,267.5
+ ,309.7
+ ,280.7
+ ,287.3
+ ,235.7
+ ,256.4
+ ,289
+ ,290.8
+ ,321.9
+ ,291.8
+ ,241.4
+ ,295.5
+ ,258.2
+ ,306.1
+ ,281.5
+ ,283.1
+ ,237.4
+ ,274.8
+ ,299.3
+ ,300.4
+ ,340.9
+ ,318.8
+ ,265.7
+ ,322.7
+ ,281.6
+ ,323.5
+ ,312.6
+ ,310.8
+ ,262.8
+ ,273.8
+ ,320
+ ,310.3
+ ,342.2
+ ,320.1
+ ,265.6
+ ,327
+ ,300.7
+ ,346.4
+ ,317.3
+ ,326.2
+ ,270.7
+ ,278.2
+ ,324.6
+ ,321.8
+ ,343.5
+ ,354
+ ,278.2
+ ,330.2
+ ,307.3
+ ,375.9
+ ,335.3
+ ,339.3
+ ,280.3
+ ,293.7
+ ,341.2
+ ,345.1
+ ,368.7
+ ,369.4
+ ,288.4
+ ,341
+ ,319.1
+ ,374.2
+ ,344.5
+ ,337.3
+ ,281
+ ,282.2
+ ,321
+ ,325.4
+ ,366.3
+ ,380.3
+ ,300.7
+ ,359.3
+ ,327.6
+ ,383.6
+ ,352.4
+ ,329.4
+ ,294.5
+ ,333.5
+ ,334.3
+ ,358
+ ,396.1
+ ,387
+ ,307.2
+ ,363.9
+ ,344.7
+ ,397.6
+ ,376.8
+ ,337.1
+ ,299.3
+ ,323.1
+ ,329.1
+ ,347
+ ,462
+ ,436.5
+ ,360.4
+ ,415.5
+ ,382.1
+ ,432.2
+ ,424.3
+ ,386.7
+ ,354.5
+ ,375.8
+ ,368
+ ,402.4
+ ,426.5
+ ,433.3
+ ,338.5
+ ,416.8
+ ,381.1
+ ,445.7
+ ,412.4
+ ,394
+ ,348.2
+ ,380.1
+ ,373.7
+ ,393.6
+ ,434.2
+ ,430.7
+ ,344.5
+ ,411.9
+ ,370.5
+ ,437.3
+ ,411.3
+ ,385.5
+ ,341.3
+ ,384.2
+ ,373.2
+ ,415.8
+ ,448.6
+ ,454.3
+ ,350.3
+ ,419.1
+ ,398
+ ,456.1
+ ,430.1
+ ,399.8
+ ,362.7
+ ,384.9
+ ,385.3
+ ,432.3
+ ,468.9
+ ,442.7
+ ,370.2
+ ,439.4
+ ,393.9
+ ,468.7
+ ,438.8
+ ,430.1
+ ,366.3
+ ,391
+ ,380.9
+ ,431.4
+ ,465.4
+ ,471.5
+ ,387.5
+ ,446.4
+ ,421.5
+ ,504.8
+ ,492.1
+ ,421.3
+ ,396.7
+ ,428
+ ,421.9
+ ,465.6
+ ,525.8
+ ,499.9
+ ,435.3
+ ,479.5
+ ,473
+ ,554.4
+ ,489.6
+ ,462.2
+ ,420.3)
> 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] 186
> (np <- floor(n / par1))
[1] 15
> 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,] 277.0 294.1 295.5 322.7 327.0 330.2 341.0 359.3 363.9 415.5 416.8 411.9
 [2,] 260.6 267.5 258.2 281.6 300.7 307.3 319.1 327.6 344.7 382.1 381.1 370.5
 [3,] 291.6 309.7 306.1 323.5 346.4 375.9 374.2 383.6 397.6 432.2 445.7 437.3
 [4,] 275.4 280.7 281.5 312.6 317.3 335.3 344.5 352.4 376.8 424.3 412.4 411.3
 [5,] 275.3 287.3 283.1 310.8 326.2 339.3 337.3 329.4 337.1 386.7 394.0 385.5
 [6,] 231.7 235.7 237.4 262.8 270.7 280.3 281.0 294.5 299.3 354.5 348.2 341.3
 [7,] 238.8 256.4 274.8 273.8 278.2 293.7 282.2 333.5 323.1 375.8 380.1 384.2
 [8,] 274.2 289.0 299.3 320.0 324.6 341.2 321.0 334.3 329.1 368.0 373.7 373.2
 [9,] 277.8 290.8 300.4 310.3 321.8 345.1 325.4 358.0 347.0 402.4 393.6 415.8
[10,] 299.1 321.9 340.9 342.2 343.5 368.7 366.3 396.1 462.0 426.5 434.2 448.6
[11,] 286.6 291.8 318.8 320.1 354.0 369.4 380.3 387.0 436.5 433.3 430.7 454.3
[12,] 232.3 241.4 265.7 265.6 278.2 288.4 300.7 307.2 360.4 338.5 344.5 350.3
      [,13] [,14] [,15]
 [1,] 419.1 439.4 446.4
 [2,] 398.0 393.9 421.5
 [3,] 456.1 468.7 504.8
 [4,] 430.1 438.8 492.1
 [5,] 399.8 430.1 421.3
 [6,] 362.7 366.3 396.7
 [7,] 384.9 391.0 428.0
 [8,] 385.3 380.9 421.9
 [9,] 432.3 431.4 465.6
[10,] 468.9 465.4 525.8
[11,] 442.7 471.5 499.9
[12,] 370.2 387.5 435.3
> 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] 268.3667 280.5250 288.4750 303.8333 315.7167 331.2333 331.0833 346.9083
 [9] 364.7917 394.9833 396.2500 398.6833 412.5083 422.0750 454.9417
> arr.sd
 [1] 22.74688 25.91862 27.95425 26.02402 27.96367 32.53014 32.94234 31.65391
 [9] 47.30992 32.11049 32.68754 37.12881 34.22093 36.91041 41.49579
> arr.range
 [1]  67.4  86.2 103.5  79.4  83.3  95.6  99.3 101.6 162.7  94.8 101.2 113.0
[13] 106.2 105.2 129.1
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    3.51748      0.08226  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
      -2.0033         0.9342  

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

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

Coefficients:
(Intercept)     arr.mean  
    24.0238       0.2200  

> postscript(file="/var/www/html/rcomp/tmp/1husn1261078616.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/2b1d01261078616.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/33zda1261078616.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/4k2k71261078616.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5sri81261078616.tab") 
> 
> try(system("convert tmp/1husn1261078616.ps tmp/1husn1261078616.png",intern=TRUE))
character(0)
> try(system("convert tmp/2b1d01261078616.ps tmp/2b1d01261078616.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.523   0.281   1.837