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Type 'q()' to quit R. > x <- c(3.5,4.8,6,5.9,3.6,6.8,8.7,8.4,8.1,8.9,8.7,7.8,6.3,7.5,6.8,7,8.8,8.4,7.6,7.9,7.4,8.7,8.7,8,9.4,8.5,5.8,2.8,3.3,4.8,1.8,4.8,-0.9,-6,-9,-21.1,-20.9,-23.5,-20.8,-17.3,-16.1,-13.9,-14.6,-9.2,-9.7,-7.2,-5,-8.1,-6.2,-4.8,-3.1,-1.4,0.6,-0.8,-2,0.2,-0.1,0.3,0.2,2.6,2.5,1.5,5.7,4.3,2.7,1.7,-2.2,-3.2,-0.5,-3.1,-4.8,-1.3,-1.8,-1.7,-2.8,-3.4,-4.9,-4.8,-5.4,-4.7,-6.6,-7.6,-6.8,-5.6,-5.6,-3.7,-5.1,-5.6,-4.1,-3.8,-3.1,-1.4,-2.4,-0.3,-0.3,0.1) > 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,] 3.5 6.3 9.4 -20.9 -6.2 2.5 -1.8 -5.6 [2,] 4.8 7.5 8.5 -23.5 -4.8 1.5 -1.7 -3.7 [3,] 6.0 6.8 5.8 -20.8 -3.1 5.7 -2.8 -5.1 [4,] 5.9 7.0 2.8 -17.3 -1.4 4.3 -3.4 -5.6 [5,] 3.6 8.8 3.3 -16.1 0.6 2.7 -4.9 -4.1 [6,] 6.8 8.4 4.8 -13.9 -0.8 1.7 -4.8 -3.8 [7,] 8.7 7.6 1.8 -14.6 -2.0 -2.2 -5.4 -3.1 [8,] 8.4 7.9 4.8 -9.2 0.2 -3.2 -4.7 -1.4 [9,] 8.1 7.4 -0.9 -9.7 -0.1 -0.5 -6.6 -2.4 [10,] 8.9 8.7 -6.0 -7.2 0.3 -3.1 -7.6 -0.3 [11,] 8.7 8.7 -9.0 -5.0 0.2 -4.8 -6.8 -0.3 [12,] 7.8 8.0 -21.1 -8.1 2.6 -1.3 -5.6 0.1 > 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] 6.766667 7.758333 0.350000 -13.858333 -1.208333 0.275000 -4.675000 [8] -2.941667 > arr.sd [1] 1.987384 0.808431 8.654216 6.053618 2.476603 3.281110 1.918392 2.074722 > arr.range [1] 5.4 2.5 30.5 18.5 8.8 10.5 5.9 5.7 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 3.2534 -0.1629 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 1.1367 -0.4484 Warning message: In log(arr.mean) : NaNs produced > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 10.5111 -0.4927 > postscript(file="/var/wessaorg/rcomp/tmp/1gts81432316286.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/2n0zk1432316286.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/3e9301432316286.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/4qkx11432316286.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/5oelv1432316286.tab") > > try(system("convert tmp/1gts81432316286.ps tmp/1gts81432316286.png",intern=TRUE)) character(0) > try(system("convert tmp/2n0zk1432316286.ps tmp/2n0zk1432316286.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.982 0.165 1.152