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Type 'q()' to quit R. > x <- c(9.8,9.7,9.5,9.3,9.1,9,9.5,10,10.2,10.1,10,9.9,10,9.9,9.7,9.5,9.2,9,9.3,9.8,9.8,9.6,9.4,9.3,9.2,9.2,9,8.8,8.7,8.7,9.1,9.7,9.8,9.6,9.4,9.4,9.5,9.4,9.3,9.2,9,8.9,9.2,9.8,9.9,9.6,9.2,9.1,9.1,9.1,8.9,8.7,8.5,8.4,8.4,8.7,8.5,8.1,7.8,7.7,7.4,7.2,7,6.6,6.4,6.4,6.8,7.3,7,7,6.7,6.7,6.3,6.2,6,6.3,6.2,6.1,6.2,6.6,6.6,7.8,7.4,7.4,7.5,7.4,7.4,7,6.9,6.9,7.6,7.7,7.6,8.2,8,8.1,8.3,8.2,8.1,7.7,7.6,7.7,8.2,8.4,8.4,8.6,8.4,8.5,8.7,8.7,8.6,7.4,7.3,7.4,9,9.2,9.2,8.5,8.3,8.3,8.6,8.6,8.5,8.1,8.1,8,8.6,8.7,8.7,8.6,8.4,8.4,8.7,8.7,8.5,8.3,8.3,8.3,8.1,8.2,8.1,8.1,7.9,7.7,8.1,8,7.7,7.8,7.6,7.4,7.3,7.4,7.1,7.3,7.1,7.1) > 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] 156 > (np <- floor(n / par1)) [1] 13 > 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] [1,] 9.8 10.0 9.2 9.5 9.1 7.4 6.3 7.5 8.3 8.7 8.6 8.7 8.1 [2,] 9.7 9.9 9.2 9.4 9.1 7.2 6.2 7.4 8.2 8.7 8.6 8.7 8.0 [3,] 9.5 9.7 9.0 9.3 8.9 7.0 6.0 7.4 8.1 8.6 8.5 8.5 7.7 [4,] 9.3 9.5 8.8 9.2 8.7 6.6 6.3 7.0 7.7 7.4 8.1 8.3 7.8 [5,] 9.1 9.2 8.7 9.0 8.5 6.4 6.2 6.9 7.6 7.3 8.1 8.3 7.6 [6,] 9.0 9.0 8.7 8.9 8.4 6.4 6.1 6.9 7.7 7.4 8.0 8.3 7.4 [7,] 9.5 9.3 9.1 9.2 8.4 6.8 6.2 7.6 8.2 9.0 8.6 8.1 7.3 [8,] 10.0 9.8 9.7 9.8 8.7 7.3 6.6 7.7 8.4 9.2 8.7 8.2 7.4 [9,] 10.2 9.8 9.8 9.9 8.5 7.0 6.6 7.6 8.4 9.2 8.7 8.1 7.1 [10,] 10.1 9.6 9.6 9.6 8.1 7.0 7.8 8.2 8.6 8.5 8.6 8.1 7.3 [11,] 10.0 9.4 9.4 9.2 7.8 6.7 7.4 8.0 8.4 8.3 8.4 7.9 7.1 [12,] 9.9 9.3 9.4 9.1 7.7 6.7 7.4 8.1 8.5 8.3 8.4 7.7 7.1 > 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] 9.675000 9.541667 9.216667 9.341667 8.491667 6.875000 6.591667 7.525000 [9] 8.175000 8.383333 8.441667 8.241667 7.491667 > arr.sd [1] 0.3957157 0.3088346 0.3761850 0.3088346 0.4541893 0.3306330 0.6022055 [8] 0.4413306 0.3360871 0.6806859 0.2466441 0.2968267 0.3476109 > arr.range [1] 1.2 1.0 1.1 1.0 1.4 1.0 1.8 1.3 1.0 1.9 0.7 1.0 1.0 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 0.71220 -0.03827 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 0.5497 -0.7205 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 1.99817 -0.09794 > postscript(file="/var/www/html/rcomp/tmp/1mm501210335327.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/21qay1210335327.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/3vis11210335327.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/427cf1210335327.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/5rf8h1210335327.tab") > > system("convert tmp/1mm501210335327.ps tmp/1mm501210335327.png") > system("convert tmp/21qay1210335327.ps tmp/21qay1210335327.png") > > > proc.time() user system elapsed 0.728 0.287 0.867