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Type 'q()' to quit R. > x <- c(274371,277686,282917,286692,285378,262433,266730,271980,277799,282329,285775,283495,279998,287224,296369,300653,302686,277891,277537,285383,292213,298522,300431,297584,286445,288576,293299,295881,292710,271993,267430,273963,273046,268347,264319,255765,246263,245098,246969,248333,247934,226839,225554,237085,237080,245039,248541,247105,243422,250643,254663,260993,258556,235372,246057,253353,255198,264176,269034,265861,269826,278506,292300,290726,289802,271311,274352,275216,276836,280408,280190,282656,281477,288186,292300,291186,287259,264993,267140,270150,275037,277103,277128,277915,276687,283042,286602,285351,277267,254868,254844,258863,264777,267366,267413,262813,258113,267037,269645,270349,264579,236997,236089,240541,241572,244576,244752,240337,238545,242621,241878,242081,237041,209673,210705,214912,218444,220115,220206,216713,216228,229261,230579,225780,213768,191395,195186,198088,200290,205010,208155,203496,205348) > par1 = '12' > par1 <- as.numeric(par1) > (n <- length(x)) [1] 133 > (np <- floor(n / par1)) [1] 11 > 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] [1,] 274371 279998 286445 246263 243422 269826 281477 276687 258113 238545 [2,] 277686 287224 288576 245098 250643 278506 288186 283042 267037 242621 [3,] 282917 296369 293299 246969 254663 292300 292300 286602 269645 241878 [4,] 286692 300653 295881 248333 260993 290726 291186 285351 270349 242081 [5,] 285378 302686 292710 247934 258556 289802 287259 277267 264579 237041 [6,] 262433 277891 271993 226839 235372 271311 264993 254868 236997 209673 [7,] 266730 277537 267430 225554 246057 274352 267140 254844 236089 210705 [8,] 271980 285383 273963 237085 253353 275216 270150 258863 240541 214912 [9,] 277799 292213 273046 237080 255198 276836 275037 264777 241572 218444 [10,] 282329 298522 268347 245039 264176 280408 277103 267366 244576 220115 [11,] 285775 300431 264319 248541 269034 280190 277128 267413 244752 220206 [12,] 283495 297584 255765 247105 265861 282656 277915 262813 240337 216713 [,11] [1,] 216228 [2,] 229261 [3,] 230579 [4,] 225780 [5,] 213768 [6,] 191395 [7,] 195186 [8,] 198088 [9,] 200290 [10,] 205010 [11,] 208155 [12,] 203496 > 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] 278132.1 291374.2 277647.8 241820.0 254777.3 280177.4 279156.2 269991.1 [9] 251215.6 226077.8 209769.7 > arr.sd [1] 7875.351 9376.878 13195.209 8280.118 9854.460 7479.268 9160.135 [8] 11497.729 13565.786 13146.627 13376.457 > arr.range [1] 24259 25149 40116 22987 33662 22474 27307 31758 34260 32948 39184 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 2.358e+04 -4.985e-02 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 23.719 -1.161 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 60047.7035 -0.1141 > postscript(file="/var/www/rcomp/tmp/1z9xu1324634823.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/rcomp/tmp/20gpu1324634823.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/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/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/rcomp/tmp/3jz791324634823.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)$coefficients[2,4]) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/rcomp/tmp/4q9jm1324634823.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'alpha',header=TRUE) > a<-table.element(a,lnlm1$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/rcomp/tmp/5ok781324634823.tab") > > try(system("convert tmp/1z9xu1324634823.ps tmp/1z9xu1324634823.png",intern=TRUE)) character(0) > try(system("convert tmp/20gpu1324634823.ps tmp/20gpu1324634823.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.010 0.070 1.078