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Type 'q()' to quit R. > x <- c(79.57,77.45,75.79,74.88,74.5,74.59,74.59,73.57,73.3,73.23,73,72.31,72.31,71.24,70.82,70.66,69.94,69.87,69.87,68.88,68.09,68.38,66.78,67.2,67.2,66.67,65.86,66.05,66.31,66.39,66.39,65.72,65.52,64.93,65.27,65.04,65.02,64.72,64.68,64.41,64.79,64.71,64.71,64.83,64.77,64.19,64.27,64.23,64.23,63.03,62.85,62.15,61.69,62.1,62.1,61.81,61.28,61.05,61.08,60.98,60.98,61.11,60.58,60.37,59.44,59.29,59.29,59.33,59.06,58.75,58.92,58.73,58.73,58.46,58.18,58.02,56.97,57.22,57.19,57.06,57.08,56.59,56.91,56.54) > 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,] 79.57 72.31 67.20 65.02 64.23 60.98 58.73 [2,] 77.45 71.24 66.67 64.72 63.03 61.11 58.46 [3,] 75.79 70.82 65.86 64.68 62.85 60.58 58.18 [4,] 74.88 70.66 66.05 64.41 62.15 60.37 58.02 [5,] 74.50 69.94 66.31 64.79 61.69 59.44 56.97 [6,] 74.59 69.87 66.39 64.71 62.10 59.29 57.22 [7,] 74.59 69.87 66.39 64.71 62.10 59.29 57.19 [8,] 73.57 68.88 65.72 64.83 61.81 59.33 57.06 [9,] 73.30 68.09 65.52 64.77 61.28 59.06 57.08 [10,] 73.23 68.38 64.93 64.19 61.05 58.75 56.59 [11,] 73.00 66.78 65.27 64.27 61.08 58.92 56.91 [12,] 72.31 67.20 65.04 64.23 60.98 58.73 56.54 > 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] 74.73167 69.50333 65.94583 64.61083 62.02917 59.65417 57.41250 > arr.sd [1] 2.0571818 1.6731643 0.6865124 0.2676313 0.9642940 0.8648012 0.7384643 > arr.range [1] 7.26 5.53 2.27 0.83 3.25 2.38 2.19 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean -3.93449 0.07666 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) -15.797 3.757 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean -15.7281 0.2948 > postscript(file="/var/wessaorg/rcomp/tmp/1auww1386235923.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/23qdi1386235923.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/36ydv1386235923.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/4obkj1386235923.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/5qm9w1386235923.tab") > > try(system("convert tmp/1auww1386235923.ps tmp/1auww1386235923.png",intern=TRUE)) character(0) > try(system("convert tmp/23qdi1386235923.ps tmp/23qdi1386235923.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.880 0.390 2.243