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Type 'q()' to quit R. > x <- c(101.76,101.76,101.76,101.76,101.76,101.76,101.76,101.76,101.76,103.36,103.36,103.36,104.85,104.85,104.85,104.85,104.85,104.85,104.85,104.85,104.85,107.35,107.35,107.35,107.35,107.35,107.35,107.35,107.35,107.35,107.35,107.35,107.35,109.47,109.47,109.47,109.47,109.47,109.47,109.47,109.47,109.47,109.47,109.47,109.47,111.29,111.29) > 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] 47 > (np <- floor(n / par1)) [1] 3 > arr <- array(NA,dim=c(par1,np+1)) > darr <- array(NA,dim=c(par1,np+1)) > ari <- array(0,dim=par1) > dx <- diff(x) > j <- 0 > for (i in 1:n) + { + j = j + 1 + ari[j] = ari[j] + 1 + arr[j,ari[j]] <- x[i] + darr[j,ari[j]] <- dx[i] + if (j == par1) j = 0 + } > ari [1] 4 4 4 4 4 4 4 4 4 4 4 3 > arr [,1] [,2] [,3] [,4] [1,] 101.76 104.85 107.35 109.47 [2,] 101.76 104.85 107.35 109.47 [3,] 101.76 104.85 107.35 109.47 [4,] 101.76 104.85 107.35 109.47 [5,] 101.76 104.85 107.35 109.47 [6,] 101.76 104.85 107.35 109.47 [7,] 101.76 104.85 107.35 109.47 [8,] 101.76 104.85 107.35 109.47 [9,] 101.76 104.85 107.35 109.47 [10,] 103.36 107.35 109.47 111.29 [11,] 103.36 107.35 109.47 111.29 [12,] 103.36 107.35 109.47 NA > darr [,1] [,2] [,3] [,4] [1,] 0.00 0.0 0.00 0.00 [2,] 0.00 0.0 0.00 0.00 [3,] 0.00 0.0 0.00 0.00 [4,] 0.00 0.0 0.00 0.00 [5,] 0.00 0.0 0.00 0.00 [6,] 0.00 0.0 0.00 0.00 [7,] 0.00 0.0 0.00 0.00 [8,] 0.00 0.0 0.00 0.00 [9,] 1.60 2.5 2.12 1.82 [10,] 0.00 0.0 0.00 0.00 [11,] 0.00 0.0 0.00 NA [12,] 1.49 0.0 0.00 NA > arr.mean <- array(NA,dim=par1) > arr.median <- array(NA,dim=par1) > arr.midrange <- array(NA,dim=par1) > for (j in 1:par1) + { + arr.mean[j] <- mean(arr[j,],na.rm=TRUE) + arr.median[j] <- median(arr[j,],na.rm=TRUE) + arr.midrange[j] <- (quantile(arr[j,],0.75,na.rm=TRUE) + quantile(arr[j,],0.25,na.rm=TRUE)) / 2 + } > overall.mean <- mean(x) > overall.median <- median(x) > overall.midrange <- (quantile(x,0.75) + quantile(x,0.25)) / 2 > postscript(file="/var/www/html/rcomp/tmp/1dyxz1229961912.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index') > mtext(paste('#blocks = ',np)) > abline(overall.mean,0) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2q8la1229961912.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index') > mtext(paste('#blocks = ',np)) > abline(overall.median,0) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/3mkqv1229961912.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index') > mtext(paste('#blocks = ',np)) > abline(overall.midrange,0) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/4a3e71229961912.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > z <- data.frame(t(arr)) > names(z) <- c(1:par1) > (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Periodic Subseries')) $stats [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [1,] 101.760 101.760 101.760 101.760 101.760 101.760 101.760 101.760 101.760 [2,] 103.305 103.305 103.305 103.305 103.305 103.305 103.305 103.305 103.305 [3,] 106.100 106.100 106.100 106.100 106.100 106.100 106.100 106.100 106.100 [4,] 108.410 108.410 108.410 108.410 108.410 108.410 108.410 108.410 108.410 [5,] 109.470 109.470 109.470 109.470 109.470 109.470 109.470 109.470 109.470 [,10] [,11] [,12] [1,] 103.360 103.360 103.360 [2,] 105.355 105.355 105.355 [3,] 108.410 108.410 107.350 [4,] 110.380 110.380 108.410 [5,] 111.290 111.290 109.470 $n [1] 4 4 4 4 4 4 4 4 4 4 4 3 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 102.0670 102.0670 102.0670 102.0670 102.0670 102.0670 102.0670 102.0670 [2,] 110.1329 110.1329 110.1329 110.1329 110.1329 110.1329 110.1329 110.1329 [,9] [,10] [,11] [,12] [1,] 102.0670 104.4402 104.4402 104.5632 [2,] 110.1329 112.3798 112.3798 110.1368 $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(101.76, 103.305, 106.1, 108.41, 109.47, 101.76, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/5nv2b1229961912.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > z <- data.frame(t(darr)) > names(z) <- c(1:par1) > (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced Periodic Subseries')) $stats [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [1,] 0 0 0 0 0 0 0 0 1.60 0 0 0.000 [2,] 0 0 0 0 0 0 0 0 1.71 0 0 0.000 [3,] 0 0 0 0 0 0 0 0 1.97 0 0 0.000 [4,] 0 0 0 0 0 0 0 0 2.31 0 0 0.745 [5,] 0 0 0 0 0 0 0 0 2.50 0 0 1.490 $n [1] 4 4 4 4 4 4 4 4 4 4 3 3 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [1,] 0 0 0 0 0 0 0 0 1.496 0 0 -0.679599 [2,] 0 0 0 0 0 0 0 0 2.444 0 0 0.679599 $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/61fxf1229961912.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > z <- data.frame(arr) > names(z) <- c(1:np) > (boxplot(z,notch=TRUE,col='grey',xlab='Block Index',ylab='Value',main='Notched Box Plots - Sequential Blocks')) $stats [,1] [,2] [,3] [,4] [1,] 101.76 104.85 107.35 109.47 [2,] 101.76 104.85 107.35 109.47 [3,] 101.76 104.85 107.35 109.47 [4,] 102.56 106.10 108.41 109.47 [5,] 103.36 107.35 109.47 109.47 $n [1] 12 12 12 11 $conf [,1] [,2] [,3] [,4] [1,] 101.3951 104.2799 106.8665 109.47 [2,] 102.1249 105.4201 107.8335 109.47 $out [1] 111.29 111.29 $group [1] 4 4 $names [1] "1" "2" "3" NA Warning message: In bxp(list(stats = c(101.76, 101.76, 101.76, 102.56, 103.36, 104.85, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/7igzz1229961912.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > z <- data.frame(cbind(arr.mean,arr.median,arr.midrange)) > names(z) <- list('mean','median','midrange') > (boxplot(z,notch=TRUE,col='grey',ylab='Overall Central Tendency',main='Notched Box Plots')) $stats [,1] [,2] [,3] [1,] 105.8575 106.100 105.9787 [2,] 105.8575 106.100 105.9787 [3,] 105.8575 106.100 105.9787 [4,] 106.2921 106.725 106.4306 [5,] 106.7267 107.350 106.8825 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] 105.6593 105.8149 105.7726 [2,] 106.0557 106.3851 106.1849 $out [1] 107.8675 107.8675 108.4100 108.4100 108.1387 108.1387 $group [1] 1 1 2 2 3 3 $names [1] "mean" "median" "midrange" Warning message: In bxp(list(stats = c(105.8575, 105.8575, 105.8575, 106.292083333333, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > system("convert tmp/1dyxz1229961912.ps tmp/1dyxz1229961912.png") > system("convert tmp/2q8la1229961912.ps tmp/2q8la1229961912.png") > system("convert tmp/3mkqv1229961912.ps tmp/3mkqv1229961912.png") > system("convert tmp/4a3e71229961912.ps tmp/4a3e71229961912.png") > system("convert tmp/5nv2b1229961912.ps tmp/5nv2b1229961912.png") > system("convert tmp/61fxf1229961912.ps tmp/61fxf1229961912.png") > system("convert tmp/7igzz1229961912.ps tmp/7igzz1229961912.png") > > > proc.time() user system elapsed 1.182 0.936 1.531