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Type 'q()' to quit R. > x <- c(6550,8728,12026,14395,14587,13791,9498,8251,7049,9545,9364,8456,7237,9374,11837,13784,15926,13821,11143,7975,7610,10015,12759,8816,10677,10947,15200,17010,20900,16205,12143,8997,5568,11474,12256,10583,10862,10965,14405,20379,20128,17816,12268,8642,7962,13932,15936,12628,12267,12470,18944,21259,22015,18581,15175,10306,10792,14752,13754,11738,12181,12965,19990,23125,23541,21247,15189,14767,10895,17130,17697,16611,12674,12760,20249,22135,20677,19933,15388,15113,13401,16135,17562,14720,12225,11608,20985,19692,24081,22114,14220,13434,13598,17187,16119,13713,13210,14251,20139,21725,26099,21084,18024,16722,14385,21342,17180,14577) > 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] 108 > (np <- floor(n / par1)) [1] 9 > 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,] 6550 7237 10677 10862 12267 12181 12674 12225 13210 [2,] 8728 9374 10947 10965 12470 12965 12760 11608 14251 [3,] 12026 11837 15200 14405 18944 19990 20249 20985 20139 [4,] 14395 13784 17010 20379 21259 23125 22135 19692 21725 [5,] 14587 15926 20900 20128 22015 23541 20677 24081 26099 [6,] 13791 13821 16205 17816 18581 21247 19933 22114 21084 [7,] 9498 11143 12143 12268 15175 15189 15388 14220 18024 [8,] 8251 7975 8997 8642 10306 14767 15113 13434 16722 [9,] 7049 7610 5568 7962 10792 10895 13401 13598 14385 [10,] 9545 10015 11474 13932 14752 17130 16135 17187 21342 [11,] 9364 12759 12256 15936 13754 17697 17562 16119 17180 [12,] 8456 8816 10583 12628 11738 16611 14720 13713 14577 > 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] 10186.67 10858.08 12663.33 13826.92 15171.08 17111.50 16728.92 16581.33 [9] 18228.17 > arr.sd [1] 2811.505 2808.015 4073.979 4106.195 4071.064 4186.811 3306.078 4186.834 [9] 3910.249 > arr.range [1] 8037 8689 15332 12417 11709 12646 9461 12473 12889 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 1830.6583 0.1293 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 2.8199 0.5631 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 6371.7292 0.3525 > postscript(file="/var/www/html/rcomp/tmp/1945p1274731933.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/2945p1274731933.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/3dmmu1274731933.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/4y4k01274731933.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/51n161274731933.tab") > > try(system("convert tmp/1945p1274731933.ps tmp/1945p1274731933.png",intern=TRUE)) character(0) > try(system("convert tmp/2945p1274731933.ps tmp/2945p1274731933.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.517 0.281 0.704