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Type 'q()' to quit R. > x <- c(12374.6,12864.7,14905.8,12259.7,14088.9,14243.7,12732.8,11612,14176.6,14452.6,14512.7,12645.1,13820.5,13644.7,15684.1,13568.3,14531.1,15320.1,14344.2,12899.4,14462,16044.7,14731.2,12798.3,14213.1,14683.3,14652,15623.1,14880.4,15765.7,15433.1,12402.6,15639.8,14861.7,11699.4,10651.9,10086.9,10676.9,11332.1,10756.1,10450.5,11930.2,11419.9,9713.1,12608.5,12357.2,12107.9,11627.2,11105.9,11841.6,14290.8,13271.7,12909.4,14924.1,13257.4,12184.4,15035.5,14401,14165,13375.6,14210.8,15017.5,17157.8,15106.2,16696.1,16035.9,15418.9,13763.9,15595.2,15183.1,15515.9,14142.8,15012.7,16293.2,17771.4,15582.8,16049.9,16105.8,15623.6,14254.9,15266.8,16671,15665.4,13949.5,15146.9,15172.9,16981.4,16553.8,16438.5,15895.1,16989,13803.5,16678.3,17315.1,15895.4,14912.1) > 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,] 12374.6 13820.5 14213.1 10086.9 11105.9 14210.8 15012.7 15146.9 [2,] 12864.7 13644.7 14683.3 10676.9 11841.6 15017.5 16293.2 15172.9 [3,] 14905.8 15684.1 14652.0 11332.1 14290.8 17157.8 17771.4 16981.4 [4,] 12259.7 13568.3 15623.1 10756.1 13271.7 15106.2 15582.8 16553.8 [5,] 14088.9 14531.1 14880.4 10450.5 12909.4 16696.1 16049.9 16438.5 [6,] 14243.7 15320.1 15765.7 11930.2 14924.1 16035.9 16105.8 15895.1 [7,] 12732.8 14344.2 15433.1 11419.9 13257.4 15418.9 15623.6 16989.0 [8,] 11612.0 12899.4 12402.6 9713.1 12184.4 13763.9 14254.9 13803.5 [9,] 14176.6 14462.0 15639.8 12608.5 15035.5 15595.2 15266.8 16678.3 [10,] 14452.6 16044.7 14861.7 12357.2 14401.0 15183.1 16671.0 17315.1 [11,] 14512.7 14731.2 11699.4 12107.9 14165.0 15515.9 15665.4 15895.4 [12,] 12645.1 12798.3 10651.9 11627.2 13375.6 14142.8 13949.5 14912.1 > 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] 13405.77 14320.72 14208.84 11255.54 13396.87 15320.34 15687.25 15981.83 > arr.sd [1] 1097.6368 1030.1902 1691.7113 923.1389 1236.7715 1004.5847 1031.5018 [8] 1047.4133 > arr.range [1] 3293.8 3246.4 5113.8 2895.4 3929.6 3393.9 3821.9 3511.6 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 1.041e+03 6.498e-03 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 5.4018 0.1689 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 1969.0857 0.1185 > postscript(file="/var/wessaorg/rcomp/tmp/1k87y1426198067.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/2qgma1426198067.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/39ios1426198067.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/4iak51426198067.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/5gx3n1426198067.tab") > > try(system("convert tmp/1k87y1426198067.ps tmp/1k87y1426198067.png",intern=TRUE)) character(0) > try(system("convert tmp/2qgma1426198067.ps tmp/2qgma1426198067.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.845 0.168 1.019