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Type 'q()' to quit R. > x <- c(83.5,83.6,83.9,83.9,84.2,84.4,84.6,84.8,84.8,84.9,85,85.1,85.3,85.5,86.1,86.2,86.3,86.5,86.5,86.6,86.8,87.3,87.7,87.8,88.1,88.8,89.3,89.2,89.3,89.6,89.6,89.9,90.2,90.2,90.4,90.5,91.5,91.5,91.8,92.2,92.4,92.7,93.1,93.1,93.5,93.9,94.3,94.7,95.3,95.9,96.2,96.7,96.7,96.9,97.3,97.4,97.9,98.4,98.4,98.8,98.9,98.9,99.3,99.4,99.7,99.8,99.7,99.9,100.4,101.1,101.3,101.4,101.8,102.2,102.4,102.5,102.8,103,103.2,103.2,103.6,103.7,103.7,103.8,104.2,104.5,104.5,104.8,105.2,105.3,105.5,105.4,105.7,106.8,106.8,107) > par1 = '12' > par1 <- '12' > #'GNU S' R Code compiled by R2WASP v. 1.2.291 () > #Author: root > #To cite this work: Wessa P. (2012), Standard Deviation-Mean Plot (v1.0.6) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_smp.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > # > par1 <- as.numeric(par1) > (n <- length(x)) [1] 96 > (np <- floor(n / par1)) [1] 8 > 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] [1,] 83.5 85.3 88.1 91.5 95.3 98.9 101.8 104.2 [2,] 83.6 85.5 88.8 91.5 95.9 98.9 102.2 104.5 [3,] 83.9 86.1 89.3 91.8 96.2 99.3 102.4 104.5 [4,] 83.9 86.2 89.2 92.2 96.7 99.4 102.5 104.8 [5,] 84.2 86.3 89.3 92.4 96.7 99.7 102.8 105.2 [6,] 84.4 86.5 89.6 92.7 96.9 99.8 103.0 105.3 [7,] 84.6 86.5 89.6 93.1 97.3 99.7 103.2 105.5 [8,] 84.8 86.6 89.9 93.1 97.4 99.9 103.2 105.4 [9,] 84.8 86.8 90.2 93.5 97.9 100.4 103.6 105.7 [10,] 84.9 87.3 90.2 93.9 98.4 101.1 103.7 106.8 [11,] 85.0 87.7 90.4 94.3 98.4 101.3 103.7 106.8 [12,] 85.1 87.8 90.5 94.7 98.8 101.4 103.8 107.0 > 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] 84.39167 86.55000 89.59167 92.89167 97.15833 99.98333 102.99167 [8] 105.47500 > arr.sd [1] 0.5599648 0.7728342 0.7064100 1.0680980 1.0807896 0.8799105 0.6598324 [8] 0.9526279 > arr.range [1] 1.6 2.5 2.4 3.2 3.5 2.5 2.0 2.8 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean -0.11996 0.01007 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) -6.122 1.301 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 0.31169 0.02372 > postscript(file="/var/wessaorg/rcomp/tmp/1nino1398676223.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/wessaorg/rcomp/tmp/2wlsc1398676223.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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/3qpuu1398676223.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/wessaorg/rcomp/tmp/4o7fx1398676223.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/wessaorg/rcomp/tmp/5c0re1398676223.tab") > > try(system("convert tmp/1nino1398676223.ps tmp/1nino1398676223.png",intern=TRUE)) character(0) > try(system("convert tmp/2wlsc1398676223.ps tmp/2wlsc1398676223.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.576 0.259 1.841