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Type 'q()' to quit R. > x <- c(90,69.3,87.3,57.4,56.2,61.6,77.7,177.2,97.6,81.6,96.8,191.3,106,75.1,72,63.5,57.4,62.3,79.4,178.1,109.3,85.2,102.7,193.7,108.4,73.4,85.9,58.5,58.6,62.7,77.5,180.5,102.2,82.6,97.8,197.8,93.8,72.4,77.7,58.7,53.1,64.3,76.4,188.4,105.5,79.8,96.1,202.5,97.3,89.5,64.7,61.2,57.8,62,76.3,195,110.9,81.4,101.7,202.2,97.4,68.5,86.8,59.1,62.4,66.2,68,198.5,120.4,90.2,103.2,207.3,106.4,75.5,97.3,60,67.5,71.2,73.7,213.3,114.6,96.1,117,229.2,105.6,99.9,79.3,72.5,67.4,78.3,85.7,177.4,113.6,94.1,105.7,228.3,100.3,70.3,94.2,66.5,64.4,73.7,87.9,152.2,97.3,89.3,107.6,228.4) > 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,] 90.0 106.0 108.4 93.8 97.3 97.4 106.4 105.6 100.3 [2,] 69.3 75.1 73.4 72.4 89.5 68.5 75.5 99.9 70.3 [3,] 87.3 72.0 85.9 77.7 64.7 86.8 97.3 79.3 94.2 [4,] 57.4 63.5 58.5 58.7 61.2 59.1 60.0 72.5 66.5 [5,] 56.2 57.4 58.6 53.1 57.8 62.4 67.5 67.4 64.4 [6,] 61.6 62.3 62.7 64.3 62.0 66.2 71.2 78.3 73.7 [7,] 77.7 79.4 77.5 76.4 76.3 68.0 73.7 85.7 87.9 [8,] 177.2 178.1 180.5 188.4 195.0 198.5 213.3 177.4 152.2 [9,] 97.6 109.3 102.2 105.5 110.9 120.4 114.6 113.6 97.3 [10,] 81.6 85.2 82.6 79.8 81.4 90.2 96.1 94.1 89.3 [11,] 96.8 102.7 97.8 96.1 101.7 103.2 117.0 105.7 107.6 [12,] 191.3 193.7 197.8 202.5 202.2 207.3 229.2 228.3 228.4 > 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] 95.33333 98.72500 98.82500 97.39167 100.00000 102.33333 110.15000 [8] 108.98333 102.67500 > arr.sd [1] 44.00164 44.31836 45.37885 48.36124 49.16863 50.54153 55.29796 47.37640 [9] 46.17024 > arr.range [1] 135.1 136.3 139.3 149.4 144.4 148.2 169.2 160.9 164.0 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean -0.3798 0.4747 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) -0.7121 0.9909 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean -64.809 2.111 > postscript(file="/var/www/html/rcomp/tmp/1l55o1291633322.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/2l55o1291633322.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/3p5mc1291633322.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/4s6kz1291633322.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/5voj51291633322.tab") > > try(system("convert tmp/1l55o1291633322.ps tmp/1l55o1291633322.png",intern=TRUE)) character(0) > try(system("convert tmp/2l55o1291633322.ps tmp/2l55o1291633322.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.515 0.308 4.842