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Type 'q()' to quit R. > x <- c(14724,14404,14058,13427,19946,19631,14724,11462,11778,11778,12093,12760,13742,13427,11462,11778,20929,22893,17666,14724,15387,15707,17351,18964,19315,16022,16369,12093,24222,27800,19631,17004,18649,20613,23555,27164,27164,24853,23871,17982,27800,32391,28462,24222,24853,27164,30426,34355,31724,30111,30111,24853,32391,37297,33373,29129,30426,35653,37964,41222,38595,34355,33373,25520,30742,36315,30111,26502,30111,33689,35653,40906,38280,31724,32391,26186,31409,36000,30742,27164,30426,34355,33689,41542,40244,35017,35333,28462,32706,39262,34355,31409,36315,39262,36982,47431,44835,38946,37297,29764,34035,37964,33053,33053,38595,41542,39924,51355,48413,42871,40560,32391,35333,40560,36631,35653,40244,44168,39924,50057) > 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] 120 > (np <- floor(n / par1)) [1] 10 > 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] [1,] 14724 13742 19315 27164 31724 38595 38280 40244 44835 48413 [2,] 14404 13427 16022 24853 30111 34355 31724 35017 38946 42871 [3,] 14058 11462 16369 23871 30111 33373 32391 35333 37297 40560 [4,] 13427 11778 12093 17982 24853 25520 26186 28462 29764 32391 [5,] 19946 20929 24222 27800 32391 30742 31409 32706 34035 35333 [6,] 19631 22893 27800 32391 37297 36315 36000 39262 37964 40560 [7,] 14724 17666 19631 28462 33373 30111 30742 34355 33053 36631 [8,] 11462 14724 17004 24222 29129 26502 27164 31409 33053 35653 [9,] 11778 15387 18649 24853 30426 30111 30426 36315 38595 40244 [10,] 11778 15707 20613 27164 35653 33689 34355 39262 41542 44168 [11,] 12093 17351 23555 30426 37964 35653 33689 36982 39924 39924 [12,] 12760 18964 27164 34355 41222 40906 41542 47431 51355 50057 > 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] 14232.08 16169.17 20203.08 26961.92 32854.50 32989.33 32825.67 36398.17 [9] 38363.58 40567.08 > arr.sd [1] 2851.638 3530.111 4723.663 4324.998 4515.687 4614.706 4354.038 4880.276 [9] 5830.776 5259.576 > arr.range [1] 8484 11431 15707 16373 16369 15386 15356 18969 21591 17666 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 2.291e+03 7.537e-02 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 3.6025 0.4685 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 6011.6234 0.3334 > postscript(file="/var/wessaorg/rcomp/tmp/1s5341343222599.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/26rdr1343222599.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/3ghgj1343222599.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/4akqw1343222599.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/5ivh11343222599.tab") > > try(system("convert tmp/1s5341343222599.ps tmp/1s5341343222599.png",intern=TRUE)) character(0) > try(system("convert tmp/26rdr1343222599.ps tmp/26rdr1343222599.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.906 0.200 1.097