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Type 'q()' to quit R. > x <- c(14,14,15,13,8,7,3,3,4,4,0,-4,-14,-18,-8,-1,1,2,0,1,0,-1,-3,-3,-3,-4,-8,-9,-13,-18,-11,-9,-10,-13,-11,-5,-15,-6,-6,-3,-1,-3,-4,-6,0,-4,-2,-2,-6,-7,-6,-6,-3,-2,-5,-11,-11,-11,-10,-14,-8,-9,-5,-1,-2,-5,-4,-6,-2,-2,-2,-2,2,1,-8,-1,1,-1,2,2,1,-1,-2,-2,-1,-8,-4,-6,-3,-3,-7,-9,-11,-13,-11,-9,-17,-22,-25,-20,-24,-24,-22,-19,-18,-17,-11,-11,-12,-10,-15,-15,-15,-13,-8,-13,-9,-7,-4,-4,-2,0,-2,-3,1,-2,-1,1,-3,-4,-9,-9,-7,-14,-12,-16,-20,-12,-12,-10,-10,-13,-16) > par1 = '4' > par1 <- '4' > #'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] 143 > (np <- floor(n / par1)) [1] 35 > 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] [,14] [1,] 14 8 4 -14 1 0 -3 -13 -10 -15 -1 0 -6 -3 [2,] 14 7 4 -18 2 -1 -4 -18 -13 -6 -3 -4 -7 -2 [3,] 15 3 0 -8 0 -3 -8 -11 -11 -6 -4 -2 -6 -5 [4,] 13 3 -4 -1 1 -3 -9 -9 -5 -3 -6 -2 -6 -11 [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [1,] -11 -8 -2 -2 2 1 1 -1 -3 -11 -17 -24 [2,] -11 -9 -5 -2 1 -1 -1 -8 -3 -13 -22 -24 [3,] -10 -5 -4 -2 -8 2 -2 -4 -7 -11 -25 -22 [4,] -14 -1 -6 -2 -1 2 -2 -6 -9 -9 -20 -19 [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [1,] -18 -12 -15 -9 -2 1 -3 -7 -20 [2,] -17 -10 -13 -7 0 -2 -4 -14 -12 [3,] -11 -15 -8 -4 -2 -1 -9 -12 -12 [4,] -11 -15 -13 -4 -3 1 -9 -16 -10 > 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] 14.00 5.25 1.00 -10.25 1.00 -1.75 -6.00 -12.75 -9.75 -7.50 [11] -3.50 -2.00 -6.25 -5.25 -11.50 -5.75 -4.25 -2.00 -1.50 1.00 [21] -1.00 -4.75 -5.50 -11.00 -21.00 -22.25 -14.25 -13.00 -12.25 -6.00 [31] -1.75 -0.25 -6.25 -12.25 -13.50 > arr.sd [1] 0.8164966 2.6299556 3.8297084 7.4105780 0.8164966 1.5000000 2.9439203 [8] 3.8622101 3.4034296 5.1961524 2.0816660 1.6329932 0.5000000 4.0311289 [15] 1.7320508 3.5939764 1.7078251 0.0000000 4.5092498 1.4142136 1.4142136 [22] 2.9860788 3.0000000 1.6329932 3.3665016 2.3629078 3.7749172 2.4494897 [29] 2.9860788 2.4494897 1.2583057 1.5000000 3.2015621 3.8622101 4.4347116 > arr.range [1] 2 5 8 17 2 3 6 9 8 12 5 4 1 9 4 8 4 0 10 3 3 7 6 4 8 [26] 5 7 5 7 5 3 3 6 9 10 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 2.18619 -0.08355 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 0.5738 -0.1438 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 4.7630 -0.1941 > postscript(file="/var/wessaorg/rcomp/tmp/1zzyq1353508353.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/2s6ci1353508354.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/3y6hg1353508354.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/4ieb11353508354.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/5npx11353508354.tab") > > try(system("convert tmp/1zzyq1353508353.ps tmp/1zzyq1353508353.png",intern=TRUE)) character(0) > try(system("convert tmp/2s6ci1353508354.ps tmp/2s6ci1353508354.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.746 0.289 2.028