R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(465,455,444,424,630,620,465,362,372,372,382,403,434,424,362,372,661,723,558,465,486,496,548,599,610,506,517,382,765,878,620,537,589,651,744,858,858,785,754,568,878,1023,899,765,785,858,961,1085,1002,951,951,785,1023,1178,1054,920,961,1126,1199,1302,1219,1085,1054,806,971,1147,951,837,951,1064,1126,1292,1209,1002,1023,827,992,1137,971,858,961,1085,1064,1312,1271,1106,1116,899,1033,1240,1085,992,1147,1240,1168,1498,1416,1230,1178,940,1075,1199,1044,1044,1219,1312,1261,1622,1529,1354,1281,1023,1116,1281,1157,1126,1271,1395,1261,1581)
> par1 = '4'
> #'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] 120
> (np <- floor(n / par1))
[1] 30
> 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] [,13] [,14]
[1,]  465  630  372  434  661  486  610  765  589   858   878   785  1002  1023
[2,]  455  620  372  424  723  496  506  878  651   785  1023   858   951  1178
[3,]  444  465  382  362  558  548  517  620  744   754   899   961   951  1054
[4,]  424  362  403  372  465  599  382  537  858   568   765  1085   785   920
     [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26]
[1,]   961  1219   971   951  1209   992   961  1271  1033  1147  1416  1075
[2,]  1126  1085  1147  1064  1002  1137  1085  1106  1240  1240  1230  1199
[3,]  1199  1054   951  1126  1023   971  1064  1116  1085  1168  1178  1044
[4,]  1302   806   837  1292   827   858  1312   899   992  1498   940  1044
     [,27] [,28] [,29] [,30]
[1,]  1219  1529  1116  1271
[2,]  1312  1354  1281  1395
[3,]  1261  1281  1157  1261
[4,]  1622  1023  1126  1581
> 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]  447.00  519.25  382.25  398.00  601.75  532.25  503.75  700.00  710.50
[10]  741.25  891.25  922.25  922.25 1043.75 1147.00 1041.00  976.50 1108.25
[19] 1015.25  989.50 1105.50 1098.00 1087.50 1263.25 1191.00 1090.50 1353.50
[28] 1296.75 1170.00 1377.00
> arr.sd
 [1]  17.56891 129.21139  14.61449  36.25833 113.76401  52.14323  93.61757
 [8] 151.52338 117.16228 123.45411 105.72409 130.32619  94.60576 106.25873
[15] 143.48751 172.25369 128.07680 142.31977 156.21860 114.59639 147.94706
[22] 152.66303 108.55567 161.48762 196.05781  73.79476 182.99454 210.08312
[29]  76.03070 149.03243
> arr.range
 [1]  41 268  31  72 258 113 228 341 269 290 258 300 217 258 341 413 310 341 382
[20] 279 351 372 248 351 476 155 403 506 165 320
> (lm1 <- lm(arr.sd~arr.mean))

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

Coefficients:
(Intercept)     arr.mean  
    13.3108       0.1159  

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

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

Coefficients:
  (Intercept)  log(arr.mean)  
       -3.787          1.248  

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

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

Coefficients:
(Intercept)     arr.mean  
    25.4201       0.2749  

> postscript(file="/var/wessaorg/rcomp/tmp/1euhz1312550078.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/24h6t1312550078.ps",horizontal=F,onefile=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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/3m1dc1312550078.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4aaf41312550078.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/wessaorg/rcomp/tmp/54nhb1312550078.tab") 
> 
> try(system("convert tmp/1euhz1312550078.ps tmp/1euhz1312550078.png",intern=TRUE))
character(0)
> try(system("convert tmp/24h6t1312550078.ps tmp/24h6t1312550078.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.656   0.131   0.783