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Type 'q()' to quit R. > x <- c(24.3,29.4,31.8,36.7,37.1,37.7,39.4,43.3,39.6,34.3,32,29.6,22.3,28.9,31.7,34.2,38.6,37.2,38.8,43.4,38.8,36.3,33,29.2,22.64,28.44,30.14,34.39,36.82,36.74,38.9,42.8,39.09,37.49,33.17,30.98,21.2,27.8,29,35.4,37.5,34.7,38.4,39.9,35.9,34.7,30.4,29,21.5,28,29.3,34.3,36.6,36.2,37.5,41.6,39.4,37.3,32.7,30.7,22.9,29.1,29.5,37.1,37.7,38.4,39.4,40.6,39.7,36.6,32.8,31.6,24.1,30.3,31.8,38.7,37.8,38.4,40.7,43.8,41.5,39.3,35.9,33.4) > 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] 84 > (np <- floor(n / par1)) [1] 21 > 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] [1,] 24.3 37.1 39.6 22.3 38.6 38.8 22.64 36.82 39.09 21.2 37.5 35.9 21.5 [2,] 29.4 37.7 34.3 28.9 37.2 36.3 28.44 36.74 37.49 27.8 34.7 34.7 28.0 [3,] 31.8 39.4 32.0 31.7 38.8 33.0 30.14 38.90 33.17 29.0 38.4 30.4 29.3 [4,] 36.7 43.3 29.6 34.2 43.4 29.2 34.39 42.80 30.98 35.4 39.9 29.0 34.3 [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [1,] 36.6 39.4 22.9 37.7 39.7 24.1 37.8 41.5 [2,] 36.2 37.3 29.1 38.4 36.6 30.3 38.4 39.3 [3,] 37.5 32.7 29.5 39.4 32.8 31.8 40.7 35.9 [4,] 41.6 30.7 37.1 40.6 31.6 38.7 43.8 33.4 > 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] 30.5500 39.3750 33.8750 29.2750 39.5000 34.3250 28.9025 38.8150 35.1825 [10] 28.3500 37.6250 32.5000 28.2750 37.9750 35.0250 29.6500 39.0250 35.1750 [19] 31.2250 40.1750 37.5250 > arr.sd [1] 5.156549 2.792102 4.271904 5.129246 2.695676 4.161230 4.867473 2.838609 [9] 3.755186 5.818075 2.186893 3.319639 5.270278 2.477061 4.017773 5.813490 [17] 1.260622 3.693576 5.995206 2.720754 3.587362 > arr.range [1] 12.40 6.20 10.00 11.90 6.20 9.60 11.75 6.06 8.11 14.20 5.20 6.90 [13] 12.80 5.40 8.70 14.20 2.90 8.10 14.60 6.00 8.10 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 13.8127 -0.2883 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 10.678 -2.658 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 34.5084 -0.7412 > postscript(file="/var/www/html/rcomp/tmp/1haof1263568477.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/2y1x31263568477.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/3okfp1263568477.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/4kbqg1263568477.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/50hd51263568477.tab") > > try(system("convert tmp/1haof1263568477.ps tmp/1haof1263568477.png",intern=TRUE)) character(0) > try(system("convert tmp/2y1x31263568477.ps tmp/2y1x31263568477.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.507 0.270 0.761