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Type 'q()' to quit R. > x <- c(462.23,464.79,465.22,468.52,469.02,469.15,469.15,469.15,469.15,469.41,469.45,469.45,469.93,477.19,478.97,480.44,480.56,481.8,483.24,483.45,483.53,483.59,483.59,483.59,492.36,495.71,499.29,499.78,500,500,500.29,500.42,500.61,498.9,499.06,496.61,498.41,501.26,505.4,506.07,506.2,507.14,507.14,507.28,507.34,507.48,506.97,506.97,510.1,515.84,519,520.1,521.26,521.04,521.12,521.12,521.1,521.16,521.14,521.13,522.17,531.39,532.12,533.34,535.72,536.25,536.25,536.68,536.76,536.79,536.99,536.99,542.38,544.1,546.96,547.04,550.27,550.32,551.17,552.83,552.35,552.44,552.47,548.78) > 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,] 462.23 469.93 492.36 498.41 510.10 522.17 542.38 [2,] 464.79 477.19 495.71 501.26 515.84 531.39 544.10 [3,] 465.22 478.97 499.29 505.40 519.00 532.12 546.96 [4,] 468.52 480.44 499.78 506.07 520.10 533.34 547.04 [5,] 469.02 480.56 500.00 506.20 521.26 535.72 550.27 [6,] 469.15 481.80 500.00 507.14 521.04 536.25 550.32 [7,] 469.15 483.24 500.29 507.14 521.12 536.25 551.17 [8,] 469.15 483.45 500.42 507.28 521.12 536.68 552.83 [9,] 469.15 483.53 500.61 507.34 521.10 536.76 552.35 [10,] 469.41 483.59 498.90 507.48 521.16 536.79 552.44 [11,] 469.45 483.59 499.06 506.97 521.14 536.99 552.47 [12,] 469.45 483.59 496.61 506.97 521.13 536.99 548.78 > 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] 467.8908 480.8233 498.5858 505.6383 519.5092 534.2875 549.2592 > arr.sd [1] 2.411644 4.039575 2.478014 2.844714 3.354030 4.298909 3.476023 > arr.range [1] 7.22 13.66 8.25 9.07 11.16 14.82 10.45 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean -2.70967 0.01177 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) -11.17 1.98 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean -8.70147 0.03812 > postscript(file="/var/wessaorg/rcomp/tmp/1l57f1386157924.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/20ni91386157924.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/3mcju1386157924.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/46xbq1386157924.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/5f2fy1386157924.tab") > > try(system("convert tmp/1l57f1386157924.ps tmp/1l57f1386157924.png",intern=TRUE)) character(0) > try(system("convert tmp/20ni91386157924.ps tmp/20ni91386157924.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.893 0.433 2.349