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Type 'q()' to quit R. > x <- c(16.68,16.68,16.69,16.61,16.58,16.6,16.6,16.62,16.62,16.6,16.63,16.66,16.66,16.65,16.5,16.39,16.34,16.35,16.35,16.38,16.36,16.38,16.39,16.41,16.41,16.41,16.45,16.41,16.44,16.47,16.47,16.49,16.54,16.62,16.69,16.72,16.72,16.71,16.89,16.93,16.91,16.93,16.93,16.93,16.95,16.93,16.95,16.95,16.95,16.95,16.92,16.91,16.9,16.96,16.96,16.95,16.92,16.87,16.87,16.88,16.88,16.86,16.88,16.88,16.88,16.88,16.88,16.87,16.92,16.94,17.03,17.02,17.02,17.02,16.99,17.03,16.98,16.89,16.89,16.9,16.89,16.96,16.97,16.97) > 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,] 16.68 16.66 16.41 16.72 16.95 16.88 17.02 [2,] 16.68 16.65 16.41 16.71 16.95 16.86 17.02 [3,] 16.69 16.50 16.45 16.89 16.92 16.88 16.99 [4,] 16.61 16.39 16.41 16.93 16.91 16.88 17.03 [5,] 16.58 16.34 16.44 16.91 16.90 16.88 16.98 [6,] 16.60 16.35 16.47 16.93 16.96 16.88 16.89 [7,] 16.60 16.35 16.47 16.93 16.96 16.88 16.89 [8,] 16.62 16.38 16.49 16.93 16.95 16.87 16.90 [9,] 16.62 16.36 16.54 16.95 16.92 16.92 16.89 [10,] 16.60 16.38 16.62 16.93 16.87 16.94 16.96 [11,] 16.63 16.39 16.69 16.95 16.87 17.03 16.97 [12,] 16.66 16.41 16.72 16.95 16.88 17.02 16.97 > 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] 16.63083 16.43000 16.51000 16.89417 16.92000 16.91000 16.95917 > arr.sd [1] 0.03728474 0.11305670 0.10937841 0.08543560 0.03437758 0.05799687 0.05384461 > arr.range [1] 0.11 0.32 0.31 0.24 0.09 0.17 0.14 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 1.69602 -0.09706 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 55.52 -20.68 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 5.0153 -0.2876 > postscript(file="/var/wessaorg/rcomp/tmp/1fstv1386254895.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/25xnd1386254895.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/3uoht1386254895.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/48asp1386254895.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/5dio41386254895.tab") > > try(system("convert tmp/1fstv1386254895.ps tmp/1fstv1386254895.png",intern=TRUE)) character(0) > try(system("convert tmp/25xnd1386254895.ps tmp/25xnd1386254895.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.433 0.546 2.977