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Type 'q()' to quit R. > x <- c(78.7,75.7,77.1,86.1,86.8,86.3,91.5,90.7,78.2,73,73.7,77.3,67.5,72.7,76.6,82.4,82.3,86.3,93,88.8,96.9,103.9,115.7,112.8,114.7,118,129.3,137,156,166.2,167.8,144.3,126,90.4,67.5,52.4,54.6,52.9,59.1,63.3,73.8,87.6,81.8,90.7,86.3,93.6,98,94.3,97.6,94.2,100.2,106.7,95.7,94.6,94.7,96.2,96.3,103.3,106.8,113.7,117.4,123.6,137.6,147.4,137.2,133.8,136.7,127.3,128.7,127,133.7,132,135.1,142.6,149.3,143.5,131.4,114.7,122.3,133.4,134.6,130.9,127.9,128) > 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] 84 > (np <- floor(n / par1)) [1] 7 > 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] [1,] 78.7 67.5 114.7 54.6 97.6 117.4 135.1 [2,] 75.7 72.7 118.0 52.9 94.2 123.6 142.6 [3,] 77.1 76.6 129.3 59.1 100.2 137.6 149.3 [4,] 86.1 82.4 137.0 63.3 106.7 147.4 143.5 [5,] 86.8 82.3 156.0 73.8 95.7 137.2 131.4 [6,] 86.3 86.3 166.2 87.6 94.6 133.8 114.7 [7,] 91.5 93.0 167.8 81.8 94.7 136.7 122.3 [8,] 90.7 88.8 144.3 90.7 96.2 127.3 133.4 [9,] 78.2 96.9 126.0 86.3 96.3 128.7 134.6 [10,] 73.0 103.9 90.4 93.6 103.3 127.0 130.9 [11,] 73.7 115.7 67.5 98.0 106.8 133.7 127.9 [12,] 77.3 112.8 52.4 94.3 113.7 132.0 128.0 > 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] 81.25833 89.90833 122.46667 78.00000 100.00000 131.86667 132.80833 > arr.sd [1] 6.596757 15.217601 36.777595 16.553879 6.274190 7.776811 9.449142 > arr.range [1] 18.5 48.2 115.4 45.1 19.5 30.0 34.6 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 6.82771 0.06906 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 1.4734 0.2109 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 5.3634 0.3718 > postscript(file="/var/wessaorg/rcomp/tmp/18m3r1386171860.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/2pmwf1386171860.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/3chyw1386171860.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/4j6031386171860.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/55f941386171860.tab") > > try(system("convert tmp/18m3r1386171860.ps tmp/18m3r1386171860.png",intern=TRUE)) character(0) > try(system("convert tmp/2pmwf1386171860.ps tmp/2pmwf1386171860.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.963 0.425 2.379