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Type 'q()' to quit R. > x <- c(4.8,4,3.5,4.1,4.1,3.8,3.5,4.1,4.5,4.1,3.8,4.6,5.2,4.4,4.3,4.7,5.1,4.6,4.7,4.9,5.1,4.6,4.6,4.8,5.1,4.8,4.4,4.8,4.7,4,3.5,4,3.7,3.1,2.9,3.3,3.5,3,2.7,3.2,3.8,3.3,3.1,3.5,3.9,3.4,3.2,3.6,3.9,3.2,3,3.4,3.6,3,3,3.6,3.6,3.3,3.3,3.6,3.8,3.3,3.1,3.4,3.5,3.1,3,3.3,3.7,3.1,2.9,3.1,3.2) > 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] 73 > (np <- floor(n / par1)) [1] 18 > 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,] 4.8 4.1 4.5 5.2 5.1 5.1 5.1 4.7 3.7 3.5 3.8 3.9 3.9 3.6 [2,] 4.0 3.8 4.1 4.4 4.6 4.6 4.8 4.0 3.1 3.0 3.3 3.4 3.2 3.0 [3,] 3.5 3.5 3.8 4.3 4.7 4.6 4.4 3.5 2.9 2.7 3.1 3.2 3.0 3.0 [4,] 4.1 4.1 4.6 4.7 4.9 4.8 4.8 4.0 3.3 3.2 3.5 3.6 3.4 3.6 [,15] [,16] [,17] [,18] [1,] 3.6 3.8 3.5 3.7 [2,] 3.3 3.3 3.1 3.1 [3,] 3.3 3.1 3.0 2.9 [4,] 3.6 3.4 3.3 3.1 > 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] 4.100 3.875 4.250 4.650 4.825 4.775 4.775 4.050 3.250 3.100 3.425 3.525 [13] 3.375 3.300 3.450 3.400 3.225 3.200 > arr.sd [1] 0.5354126 0.2872281 0.3696846 0.4041452 0.2217356 0.2362908 0.2872281 [8] 0.4932883 0.3415650 0.3366502 0.2986079 0.2986079 0.3862210 0.3464102 [15] 0.1732051 0.2943920 0.2217356 0.3464102 > arr.range [1] 1.3 0.6 0.8 0.9 0.5 0.5 0.7 1.2 0.8 0.8 0.7 0.7 0.9 0.6 0.3 0.7 0.5 0.8 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 0.305683 0.005493 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) -1.20985 0.04052 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 0.65519 0.02198 > postscript(file="/var/wessaorg/rcomp/tmp/109rz1416661091.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/2xmba1416661091.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/3oijc1416661091.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/4zyqi1416661091.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/5lmw11416661091.tab") > > try(system("convert tmp/109rz1416661091.ps tmp/109rz1416661091.png",intern=TRUE)) character(0) > try(system("convert tmp/2xmba1416661091.ps tmp/2xmba1416661091.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.948 0.138 1.094