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Type 'q()' to quit R. > x <- c(09.166456,07.970589,07.104091,06.621064,07.529215,08.170938,08.157450,07.378962,07.921496,08.156740,08.856365,08.817177,08.734347,09.345927,08.992970,10.785120,08.886867,08.818847,08.823744,09.165298,08.652657,08.173054,07.563416,07.595809,08.381467,07.216432,06.540178,06.238914,05.487288,05.759462,05.993215,07.474726,07.348907,07.303379,07.119314,06.993780,06.958153,07.595706,08.088153,07.555753,07.315433,07.893427,08.858794,08.839367,08.014733,07.873465,08.930377,10.500550,12.611440,11.417870,11.872490,11.060820,12.043310,09.776299,09.557194,09.202590,10.224020,09.350807,08.300913,08.365779,08.133595,07.660470,08.074839,07.848597,07.998220,07.396895,07.900419,08.100500,07.899453,07.599783,08.100929,09.002175,10.298900,10.101520,10.699150,09.698140,09.800951,10.900470,10.697850,09.297252,10.397440,10.900720,12.901270,13.099060,11.698280,11.099870,11.301570,10.702110,10.099310,09.591119) > 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] 90 > (np <- floor(n / par1)) [1] 7 > 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] [1,] 9.166456 8.734347 8.381467 6.958153 12.611440 8.133595 10.298900 [2,] 7.970589 9.345927 7.216432 7.595706 11.417870 7.660470 10.101520 [3,] 7.104091 8.992970 6.540178 8.088153 11.872490 8.074839 10.699150 [4,] 6.621064 10.785120 6.238914 7.555753 11.060820 7.848597 9.698140 [5,] 7.529215 8.886867 5.487288 7.315433 12.043310 7.998220 9.800951 [6,] 8.170938 8.818847 5.759462 7.893427 9.776299 7.396895 10.900470 [7,] 8.157450 8.823744 5.993215 8.858794 9.557194 7.900419 10.697850 [8,] 7.378962 9.165298 7.474726 8.839367 9.202590 8.100500 9.297252 [9,] 7.921496 8.652657 7.348907 8.014733 10.224020 7.899453 10.397440 [10,] 8.156740 8.173054 7.303379 7.873465 9.350807 7.599783 10.900720 [11,] 8.856365 7.563416 7.119314 8.930377 8.300913 8.100929 12.901270 [12,] 8.817177 7.595809 6.993780 10.500550 8.365779 9.002175 13.099060 > 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] 7.987545 8.794838 6.821422 8.201993 10.315294 7.976323 10.732727 > arr.sd [1] 0.7481460 0.8429311 0.8343513 0.9544654 1.4571116 0.3958311 1.1700437 > arr.range [1] 2.545392 3.221704 2.894179 3.542397 4.310527 1.605280 3.801808 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean -0.5993 0.1742 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) -3.523 1.566 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean -0.657 0.436 > postscript(file="/var/www/html/rcomp/tmp/1vkuz1293628703.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/rcomp/tmp/2vkuz1293628703.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/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/3hlbn1293628703.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/4k39b1293628703.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/56mqz1293628703.tab") > > try(system("convert tmp/1vkuz1293628703.ps tmp/1vkuz1293628703.png",intern=TRUE)) character(0) > try(system("convert tmp/2vkuz1293628703.ps tmp/2vkuz1293628703.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.503 0.300 1.093