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Type 'q()' to quit R. > x <- c(11974 + ,10106 + ,12069 + ,11412 + ,11180 + ,10508 + ,11288 + ,10928 + ,10199 + ,11030 + ,11234 + ,13747 + ,13912 + ,12376 + ,12264 + ,11675 + ,11271 + ,10672 + ,10933 + ,10379 + ,10187 + ,10747 + ,10970 + ,12175 + ,14200 + ,11676 + ,11258 + ,10872 + ,11148 + ,10690 + ,10684 + ,11658 + ,10178 + ,10981 + ,10773 + ,11665 + ,11359 + ,10716 + ,12928 + ,12317 + ,11641 + ,10459 + ,10953 + ,10703 + ,10703 + ,11101 + ,11334 + ,13268 + ,13145 + ,12334 + ,13153 + ,11289 + ,11374 + ,10914 + ,11299 + ,11284 + ,10694 + ,11077 + ,11104 + ,12820 + ,14915 + ,11773 + ,11608 + ,11468 + ,11511 + ,11200 + ,11164 + ,10960 + ,10667 + ,11556 + ,11372 + ,12333 + ,13102 + ,11115 + ,12572 + ,11557 + ,12059 + ,11420 + ,11185 + ,11113 + ,10706 + ,11523 + ,11391 + ,12634 + ,13469 + ,11735 + ,13281 + ,11968 + ,11623 + ,11084 + ,11509 + ,11134 + ,10438 + ,11530 + ,11491 + ,13093 + ,13106 + ,11305 + ,13113 + ,12203 + ,11309 + ,11088 + ,11234 + ,11619 + ,10942 + ,11445 + ,11291 + ,13281 + ,13726 + ,11300 + ,11983 + ,11092 + ,11093 + ,10692 + ,10786 + ,11166 + ,10553 + ,11103 + ,10969 + ,12090 + ,12544 + ,12264 + ,13783 + ,11214 + ,11453 + ,10883 + ,10381 + ,10348 + ,10024 + ,10805 + ,10796 + ,11907 + ,12261 + ,11377 + ,12689 + ,11474 + ,10992 + ,10764 + ,12164 + ,10409 + ,10398 + ,10349 + ,10865 + ,11630 + ,12221 + ,10884 + ,12019 + ,11021 + ,10799 + ,10423 + ,10484 + ,10450 + ,9906 + ,11049 + ,11281 + ,12485 + ,12849 + ,11380 + ,12079 + ,11366 + ,11328 + ,10444 + ,10854 + ,10434 + ,10137 + ,10992 + ,10906 + ,12367 + ,14371 + ,11695 + ,11546 + ,10922 + ,10670 + ,10254 + ,10573 + ,10239 + ,10253 + ,11176 + ,10719 + ,11817) > 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] 180 > (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,] 11974 13912 14200 11359 13145 14915 13102 13469 13106 13726 12544 12261 [2,] 10106 12376 11676 10716 12334 11773 11115 11735 11305 11300 12264 11377 [3,] 12069 12264 11258 12928 13153 11608 12572 13281 13113 11983 13783 12689 [4,] 11412 11675 10872 12317 11289 11468 11557 11968 12203 11092 11214 11474 [5,] 11180 11271 11148 11641 11374 11511 12059 11623 11309 11093 11453 10992 [6,] 10508 10672 10690 10459 10914 11200 11420 11084 11088 10692 10883 10764 [7,] 11288 10933 10684 10953 11299 11164 11185 11509 11234 10786 10381 12164 [8,] 10928 10379 11658 10703 11284 10960 11113 11134 11619 11166 10348 10409 [9,] 10199 10187 10178 10703 10694 10667 10706 10438 10942 10553 10024 10398 [10,] 11030 10747 10981 11101 11077 11556 11523 11530 11445 11103 10805 10349 [11,] 11234 10970 10773 11334 11104 11372 11391 11491 11291 10969 10796 10865 [12,] 13747 12175 11665 13268 12820 12333 12634 13093 13281 12090 11907 11630 [,13] [,14] [,15] [1,] 12221 12849 14371 [2,] 10884 11380 11695 [3,] 12019 12079 11546 [4,] 11021 11366 10922 [5,] 10799 11328 10670 [6,] 10423 10444 10254 [7,] 10484 10854 10573 [8,] 10450 10434 10239 [9,] 9906 10137 10253 [10,] 11049 10992 11176 [11,] 11281 10906 10719 [12,] 12485 12367 11817 > 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] 11306.25 11463.42 11315.25 11456.83 11707.25 11710.58 11698.08 11862.92 [9] 11828.00 11379.42 11366.83 11281.00 11085.17 11261.33 11186.25 > arr.sd [1] 978.9051 1067.1559 1018.3747 919.7144 896.3152 1092.0878 731.9274 [8] 940.5687 865.6791 870.9811 1088.7752 787.5960 790.9469 821.4514 [15] 1147.9982 > arr.range [1] 3641 3725 4022 2809 2459 4248 2396 3031 2339 3173 3759 2340 2579 2712 4132 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 1277.19404 -0.02990 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 9.3252 -0.2668 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 10126.6490 -0.6081 > postscript(file="/var/www/html/freestat/rcomp/tmp/1a4wp1292934948.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/www/html/freestat/rcomp/tmp/2a4wp1292934948.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/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/3v5ud1292934948.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/freestat/rcomp/tmp/4zotj1292934948.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/freestat/rcomp/tmp/5dg9s1292934948.tab") > > try(system("convert tmp/1a4wp1292934948.ps tmp/1a4wp1292934948.png",intern=TRUE)) character(0) > try(system("convert tmp/2a4wp1292934948.ps tmp/2a4wp1292934948.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.862 0.424 1.091