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Type 'q()' to quit R. > x <- c(0.8800,1.0300,0.6900,0.7100,1.1100,1.0500,1.0300,0.6500,0.5900,0.7700,0.9000,1.2600,0.9600,0.8300,0.8700,0.7900,1.1200,0.8800,0.6400,0.6400,0.5800,0.5000,0.9900,1.0700,0.8900,0.8900,0.8300,0.8600,0.9000,1.1200,0.8800,0.8800,0.8900,0.8200,0.8800,0.8100,0.8800,0.7600,1.1300,0.8500,1.4500,1.5500,0.7100,0.8100,0.8300,0.7300,0.9000,0.9400,1.7800,0.8800,1.0400,0.8300,1.4100,0.9600,1.3000,0.8300,1.4000,0.9100,0.8700,0.9700,1.1900,1.2300,1.3300,1.1700,1.0900,0.6300,0.8900,0.6300,1.5100,0.9700,0.8400,0.9200,0.9500,0.7300,1.0200,0.7900,1.2700,0.9500,0.7500,0.5200,0.9500,0.8200,0.7600,1.2400,0.9400,1.0400,1.8100,0.9500,1.3900,0.8600,1.1500,1.5100,0.6000,0.7200,1.1000,1.6200,1.8400,1.7300,1.3600,1.0700,1.0000,1.4900,0.9000,1.4300,1.5400,0.8100,1.6100,1.3000,1.4000,1.0300,0.7900,1.1100,1.1500,1.0300,1.5900,1.1100,1.3300,0.9300,1.0700,1.1400,1.1200,0.8600,0.8200,1.0200,1.0700,1.3100,0.9800,0.8900,0.8000,0.8000,0.7800,0.9700) > 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] 132 > (np <- floor(n / par1)) [1] 11 > 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] [1,] 0.88 0.96 0.89 0.88 1.78 1.19 0.95 0.94 1.84 1.40 1.12 [2,] 1.03 0.83 0.89 0.76 0.88 1.23 0.73 1.04 1.73 1.03 0.86 [3,] 0.69 0.87 0.83 1.13 1.04 1.33 1.02 1.81 1.36 0.79 0.82 [4,] 0.71 0.79 0.86 0.85 0.83 1.17 0.79 0.95 1.07 1.11 1.02 [5,] 1.11 1.12 0.90 1.45 1.41 1.09 1.27 1.39 1.00 1.15 1.07 [6,] 1.05 0.88 1.12 1.55 0.96 0.63 0.95 0.86 1.49 1.03 1.31 [7,] 1.03 0.64 0.88 0.71 1.30 0.89 0.75 1.15 0.90 1.59 0.98 [8,] 0.65 0.64 0.88 0.81 0.83 0.63 0.52 1.51 1.43 1.11 0.89 [9,] 0.59 0.58 0.89 0.83 1.40 1.51 0.95 0.60 1.54 1.33 0.80 [10,] 0.77 0.50 0.82 0.73 0.91 0.97 0.82 0.72 0.81 0.93 0.80 [11,] 0.90 0.99 0.88 0.90 0.87 0.84 0.76 1.10 1.61 1.07 0.78 [12,] 1.26 1.07 0.81 0.94 0.97 0.92 1.24 1.62 1.30 1.14 0.97 > 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] 0.8891667 0.8225000 0.8875000 0.9616667 1.0983333 1.0333333 0.8958333 [8] 1.1408333 1.3400000 1.1400000 0.9516667 > arr.sd [1] 0.2099116 0.1983626 0.0792149 0.2754115 0.3032800 0.2697586 0.2149189 [8] 0.3708579 0.3317447 0.2140093 0.1599905 > arr.range [1] 0.67 0.62 0.31 0.84 0.95 0.88 0.75 1.21 1.03 0.80 0.53 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean -0.1388 0.3723 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) -1.510 1.786 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean -0.4070 1.1708 > postscript(file="/var/www/html/rcomp/tmp/1157i1250608296.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/28qsr1250608296.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/3jbip1250608296.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/4cxk31250608296.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/56uq41250608296.tab") > > system("convert tmp/1157i1250608296.ps tmp/1157i1250608296.png") > system("convert tmp/28qsr1250608296.ps tmp/28qsr1250608296.png") > > > proc.time() user system elapsed 0.510 0.288 1.426