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Type 'q()' to quit R. > x <- c(0.2,0.8,1.2,4.5,0.4,5.9,6.5,12.8,4.2,-3.3,-12.5,-16.3,-10.5,-11.8,-11.4,-17.7,-17.3,-18.6,-17.9,-21.4,-19.4,-15.5,-7.7,-0.7,-1.6,1.4,0.7,9.5,1.4,4.1,6.6,18.4,16.9,9.2,-4.3,-5.9,-7.7,-5.4,-2.3,-4.8,2.3,-5.2,-10,-17.1,-14.4,-3.9,3.7,6.5,0.9,-4.1,-7,-12.2,-2.5,4.4,13.7,12.3,13.4,2.2,1.7,-7.2,-4.8,-2.9,-2.4,-2.5,-5.3,-7.1,-8,-8.9,-7.7,-1.1,4,9.6,10.9,13) > par1 = '12' > #'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] 74 > (np <- floor(n / par1)) [1] 6 > 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] [1,] 0.2 -10.5 -1.6 -7.7 0.9 -4.8 [2,] 0.8 -11.8 1.4 -5.4 -4.1 -2.9 [3,] 1.2 -11.4 0.7 -2.3 -7.0 -2.4 [4,] 4.5 -17.7 9.5 -4.8 -12.2 -2.5 [5,] 0.4 -17.3 1.4 2.3 -2.5 -5.3 [6,] 5.9 -18.6 4.1 -5.2 4.4 -7.1 [7,] 6.5 -17.9 6.6 -10.0 13.7 -8.0 [8,] 12.8 -21.4 18.4 -17.1 12.3 -8.9 [9,] 4.2 -19.4 16.9 -14.4 13.4 -7.7 [10,] -3.3 -15.5 9.2 -3.9 2.2 -1.1 [11,] -12.5 -7.7 -4.3 3.7 1.7 4.0 [12,] -16.3 -0.7 -5.9 6.5 -7.2 9.6 > 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] 0.3666667 -14.1583333 4.7000000 -4.8583333 1.3000000 -3.0916667 > arr.sd [1] 8.046946 5.933335 7.714331 6.985629 8.522164 5.386255 > arr.range [1] 29.1 20.7 24.3 23.6 25.9 18.5 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 7.4309 0.1268 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 2.09484 -0.01671 Warning message: In log(arr.mean) : NaNs produced > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 24.4894 0.3072 > postscript(file="/var/www/html/rcomp/tmp/1kklk1230119821.ps",horizontal=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/www/html/rcomp/tmp/2qcmg1230119821.ps",horizontal=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/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/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/www/html/rcomp/tmp/38wnu1230119821.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/www/html/rcomp/tmp/40fra1230119821.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/www/html/rcomp/tmp/54e7n1230119821.tab") > > system("convert tmp/1kklk1230119821.ps tmp/1kklk1230119821.png") > system("convert tmp/2qcmg1230119821.ps tmp/2qcmg1230119821.png") > > > proc.time() user system elapsed 0.513 0.299 0.619