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Type 'q()' to quit R. > x <- c(1.83,1.83,1.87,1.87,1.86,1.87,1.87,1.89,1.89,1.88,1.88,1.87,1.78,1.79,1.8,1.82,1.82,1.83,1.84,1.84,1.83,1.83,1.83,1.84,1.86,1.85,1.85,1.85,1.84,1.85,1.85,1.83,1.82,1.84,1.85,1.88,1.91,1.93,1.91,1.9,1.9,1.89,1.88,1.88,1.92,1.98,2,2,2.02,2.01,2.05,2.07,2.07,2.04,2.05,2.05,2.04,2.03,2.04,2.04,2.1,2.09,2.1,2.09,2.08,2.1,2.11,2.08,2.09,2.1,2.09,2.09) > par1 = '4' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as.numeric(par1) > (n <- length(x)) [1] 72 > (np <- floor(n / par1)) [1] 18 > 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] [,11] [,12] [,13] [,14] [1,] 1.83 1.86 1.89 1.78 1.82 1.83 1.86 1.84 1.82 1.91 1.90 1.92 2.02 2.07 [2,] 1.83 1.87 1.88 1.79 1.83 1.83 1.85 1.85 1.84 1.93 1.89 1.98 2.01 2.04 [3,] 1.87 1.87 1.88 1.80 1.84 1.83 1.85 1.85 1.85 1.91 1.88 2.00 2.05 2.05 [4,] 1.87 1.89 1.87 1.82 1.84 1.84 1.85 1.83 1.88 1.90 1.88 2.00 2.07 2.05 [,15] [,16] [,17] [,18] [1,] 2.04 2.10 2.08 2.09 [2,] 2.03 2.09 2.10 2.10 [3,] 2.04 2.10 2.11 2.09 [4,] 2.04 2.09 2.08 2.09 > 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] 1.8500 1.8725 1.8800 1.7975 1.8325 1.8325 1.8525 1.8425 1.8475 1.9125 [11] 1.8875 1.9750 2.0375 2.0525 2.0375 2.0950 2.0925 2.0925 > arr.sd [1] 0.023094011 0.012583057 0.008164966 0.017078251 0.009574271 0.005000000 [7] 0.005000000 0.009574271 0.025000000 0.012583057 0.009574271 0.037859389 [13] 0.027537853 0.012583057 0.005000000 0.005773503 0.015000000 0.005000000 > arr.range [1] 0.04 0.03 0.02 0.04 0.02 0.01 0.01 0.02 0.06 0.03 0.02 0.08 0.06 0.03 0.01 [16] 0.01 0.03 0.01 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 0.01685 -0.00165 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) -3.783 -1.075 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 0.044816 -0.007953 > postscript(file="/var/wessaorg/rcomp/tmp/1ckxq1322592564.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/2szkt1322592564.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/3saoq1322592564.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/42wpf1322592564.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/5wat71322592564.tab") > > try(system("convert tmp/1ckxq1322592564.ps tmp/1ckxq1322592564.png",intern=TRUE)) character(0) > try(system("convert tmp/2szkt1322592564.ps tmp/2szkt1322592564.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.677 0.128 0.803