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Type 'q()' to quit R. > x <- c(75.6,74,75.3,83.1,84.9,83.5,88.2,87.4,77.8,74.5,75.3,78.7,71.4,75.8,79.2,84.4,84.4,87.2,92.4,88.5,94.8,100.9,110,107.9,111.2,116.7,125.8,131.5,146.2,155.4,157.5,137.2,121.3,89.1,69.6,56.7,58.5,56.4,60.5,64.6,73.2,84.6,80.4,88.4,84.6,90.8,94.9,93.1,96.6,93.1,98.3,105,95.6,94.3,95.3,97.1,98.1,104.4,107.8,114.3,118.7,124.1,134.2,142.4,133.8,131,133.2,125.9,126.2,122.7,126.6,124.8,128,134.1,138.8,134,124,110.4,116.7,124.7,126,122.8,120.2,121.2,125.4,127.9,122,117.5,117.9,117.9,122.7,125.7,126.1,123.2,120.6,123.5) > 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,] 75.6 71.4 111.2 58.5 96.6 118.7 128.0 125.4 [2,] 74.0 75.8 116.7 56.4 93.1 124.1 134.1 127.9 [3,] 75.3 79.2 125.8 60.5 98.3 134.2 138.8 122.0 [4,] 83.1 84.4 131.5 64.6 105.0 142.4 134.0 117.5 [5,] 84.9 84.4 146.2 73.2 95.6 133.8 124.0 117.9 [6,] 83.5 87.2 155.4 84.6 94.3 131.0 110.4 117.9 [7,] 88.2 92.4 157.5 80.4 95.3 133.2 116.7 122.7 [8,] 87.4 88.5 137.2 88.4 97.1 125.9 124.7 125.7 [9,] 77.8 94.8 121.3 84.6 98.1 126.2 126.0 126.1 [10,] 74.5 100.9 89.1 90.8 104.4 122.7 122.8 123.2 [11,] 75.3 110.0 69.6 94.9 107.8 126.6 120.2 120.6 [12,] 78.7 107.9 56.7 93.1 114.3 124.8 121.2 123.5 > 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] 79.85833 89.74167 118.18333 77.50000 99.99167 128.63333 125.07500 [8] 122.53333 > arr.sd [1] 5.256590 12.076533 32.135872 14.241936 6.450575 6.468853 7.918003 [8] 3.483293 > arr.range [1] 14.2 38.6 100.8 38.5 21.2 23.7 28.4 10.4 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 9.65910 0.01279 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 3.8840 -0.3706 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 18.1871 0.1548 > postscript(file="/var/wessaorg/rcomp/tmp/188ij1432678410.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/2mhub1432678410.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/3txw21432678410.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/43w2t1432678410.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/5kerf1432678410.tab") > > try(system("convert tmp/188ij1432678410.ps tmp/188ij1432678410.png",intern=TRUE)) character(0) > try(system("convert tmp/2mhub1432678410.ps tmp/2mhub1432678410.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.935 0.149 1.092