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Type 'q()' to quit R. > x <- c(109.20,88.60,94.30,98.30,86.40,80.60,104.10,108.20,93.40,71.90,94.10,94.90,96.40,91.10,84.40,86.40,88.00,75.10,109.70,103.00,82.10,68.00,96.40,94.30,90.00,88.00,76.10,82.50,81.40,66.50,97.20,94.10,80.70,70.50,87.80,89.50,99.60,84.20,75.10,92.00,80.80,73.10,99.80,90.00,83.10,72.40,78.80,87.30,91.00,80.10,73.60,86.40,74.50,71.20,92.40,81.50,85.30,69.90,84.20,90.70,100.30) > par1 = '60' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: Wessa P., (2007), Mean Plot (v1.0.1) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_meanplot.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description > par1 <- as.numeric(par1) > (n <- length(x)) [1] 61 > (np <- floor(n / par1)) [1] 1 > arr <- array(NA,dim=c(par1,np+1)) > ari <- array(0,dim=par1) > j <- 0 > for (i in 1:n) + { + j = j + 1 + ari[j] = ari[j] + 1 + arr[j,ari[j]] <- x[i] + if (j == par1) j = 0 + } > ari [1] 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [39] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 > arr [,1] [,2] [1,] 109.2 100.3 [2,] 88.6 NA [3,] 94.3 NA [4,] 98.3 NA [5,] 86.4 NA [6,] 80.6 NA [7,] 104.1 NA [8,] 108.2 NA [9,] 93.4 NA [10,] 71.9 NA [11,] 94.1 NA [12,] 94.9 NA [13,] 96.4 NA [14,] 91.1 NA [15,] 84.4 NA [16,] 86.4 NA [17,] 88.0 NA [18,] 75.1 NA [19,] 109.7 NA [20,] 103.0 NA [21,] 82.1 NA [22,] 68.0 NA [23,] 96.4 NA [24,] 94.3 NA [25,] 90.0 NA [26,] 88.0 NA [27,] 76.1 NA [28,] 82.5 NA [29,] 81.4 NA [30,] 66.5 NA [31,] 97.2 NA [32,] 94.1 NA [33,] 80.7 NA [34,] 70.5 NA [35,] 87.8 NA [36,] 89.5 NA [37,] 99.6 NA [38,] 84.2 NA [39,] 75.1 NA [40,] 92.0 NA [41,] 80.8 NA [42,] 73.1 NA [43,] 99.8 NA [44,] 90.0 NA [45,] 83.1 NA [46,] 72.4 NA [47,] 78.8 NA [48,] 87.3 NA [49,] 91.0 NA [50,] 80.1 NA [51,] 73.6 NA [52,] 86.4 NA [53,] 74.5 NA [54,] 71.2 NA [55,] 92.4 NA [56,] 81.5 NA [57,] 85.3 NA [58,] 69.9 NA [59,] 84.2 NA [60,] 90.7 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/1whj91193399964.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/2w1h91193399964.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/38mvl1193399964.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/4roq01193399964.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] [,10] [,11] [,12] [,13] [1,] 100.30 88.6 94.3 98.3 86.4 80.6 104.1 108.2 93.4 71.9 94.1 94.9 96.4 [2,] 100.30 88.6 94.3 98.3 86.4 80.6 104.1 108.2 93.4 71.9 94.1 94.9 96.4 [3,] 104.75 88.6 94.3 98.3 86.4 80.6 104.1 108.2 93.4 71.9 94.1 94.9 96.4 [4,] 109.20 88.6 94.3 98.3 86.4 80.6 104.1 108.2 93.4 71.9 94.1 94.9 96.4 [5,] 109.20 88.6 94.3 98.3 86.4 80.6 104.1 108.2 93.4 71.9 94.1 94.9 96.4 [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [1,] 91.1 84.4 86.4 88 75.1 109.7 103 82.1 68 96.4 94.3 90 [2,] 91.1 84.4 86.4 88 75.1 109.7 103 82.1 68 96.4 94.3 90 [3,] 91.1 84.4 86.4 88 75.1 109.7 103 82.1 68 96.4 94.3 90 [4,] 91.1 84.4 86.4 88 75.1 109.7 103 82.1 68 96.4 94.3 90 [5,] 91.1 84.4 86.4 88 75.1 109.7 103 82.1 68 96.4 94.3 90 [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [1,] 88 76.1 82.5 81.4 66.5 97.2 94.1 80.7 70.5 87.8 89.5 99.6 [2,] 88 76.1 82.5 81.4 66.5 97.2 94.1 80.7 70.5 87.8 89.5 99.6 [3,] 88 76.1 82.5 81.4 66.5 97.2 94.1 80.7 70.5 87.8 89.5 99.6 [4,] 88 76.1 82.5 81.4 66.5 97.2 94.1 80.7 70.5 87.8 89.5 99.6 [5,] 88 76.1 82.5 81.4 66.5 97.2 94.1 80.7 70.5 87.8 89.5 99.6 [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [1,] 84.2 75.1 92 80.8 73.1 99.8 90 83.1 72.4 78.8 87.3 91 [2,] 84.2 75.1 92 80.8 73.1 99.8 90 83.1 72.4 78.8 87.3 91 [3,] 84.2 75.1 92 80.8 73.1 99.8 90 83.1 72.4 78.8 87.3 91 [4,] 84.2 75.1 92 80.8 73.1 99.8 90 83.1 72.4 78.8 87.3 91 [5,] 84.2 75.1 92 80.8 73.1 99.8 90 83.1 72.4 78.8 87.3 91 [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [1,] 80.1 73.6 86.4 74.5 71.2 92.4 81.5 85.3 69.9 84.2 90.7 [2,] 80.1 73.6 86.4 74.5 71.2 92.4 81.5 85.3 69.9 84.2 90.7 [3,] 80.1 73.6 86.4 74.5 71.2 92.4 81.5 85.3 69.9 84.2 90.7 [4,] 80.1 73.6 86.4 74.5 71.2 92.4 81.5 85.3 69.9 84.2 90.7 [5,] 80.1 73.6 86.4 74.5 71.2 92.4 81.5 85.3 69.9 84.2 90.7 $n [1] 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [39] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [1,] 94.80666 88.6 94.3 98.3 86.4 80.6 104.1 108.2 93.4 71.9 94.1 94.9 [2,] 114.69334 88.6 94.3 98.3 86.4 80.6 104.1 108.2 93.4 71.9 94.1 94.9 [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 96.4 91.1 84.4 86.4 88 75.1 109.7 103 82.1 68 96.4 94.3 [2,] 96.4 91.1 84.4 86.4 88 75.1 109.7 103 82.1 68 96.4 94.3 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [1,] 90 88 76.1 82.5 81.4 66.5 97.2 94.1 80.7 70.5 87.8 89.5 [2,] 90 88 76.1 82.5 81.4 66.5 97.2 94.1 80.7 70.5 87.8 89.5 [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [1,] 99.6 84.2 75.1 92 80.8 73.1 99.8 90 83.1 72.4 78.8 87.3 [2,] 99.6 84.2 75.1 92 80.8 73.1 99.8 90 83.1 72.4 78.8 87.3 [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [1,] 91 80.1 73.6 86.4 74.5 71.2 92.4 81.5 85.3 69.9 84.2 90.7 [2,] 91 80.1 73.6 86.4 74.5 71.2 92.4 81.5 85.3 69.9 84.2 90.7 $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" "13" "14" "15" [16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30" [31] "31" "32" "33" "34" "35" "36" "37" "38" "39" "40" "41" "42" "43" "44" "45" [46] "46" "47" "48" "49" "50" "51" "52" "53" "54" "55" "56" "57" "58" "59" "60" Warning message: some notches went outside hinges ('box'): maybe set notch=FALSE in: bxp(list(stats = c(100.3, 100.3, 104.75, 109.2, 109.2, 88.6, > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/5ykd21193399964.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] [1,] 66.50 100.3 [2,] 80.35 100.3 [3,] 86.85 100.3 [4,] 94.10 100.3 [5,] 109.70 100.3 $n [1] 60 1 $conf [,1] [,2] [1,] 84.04531 100.3 [2,] 89.65469 100.3 $out numeric(0) $group numeric(0) $names [1] "1" NA > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/631m01193399964.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,] 66.50 66.50 66.50 [2,] 80.35 80.35 80.35 [3,] 86.85 86.85 86.85 [4,] 94.10 94.10 94.10 [5,] 109.70 109.70 109.70 $n [1] 60 60 60 $conf [,1] [,2] [,3] [1,] 84.04531 84.04531 84.04531 [2,] 89.65469 89.65469 89.65469 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" > dev.off() null device 1 > > system("convert tmp/1whj91193399964.ps tmp/1whj91193399964.png") > system("convert tmp/2w1h91193399964.ps tmp/2w1h91193399964.png") > system("convert tmp/38mvl1193399964.ps tmp/38mvl1193399964.png") > system("convert tmp/4roq01193399964.ps tmp/4roq01193399964.png") > system("convert tmp/5ykd21193399964.ps tmp/5ykd21193399964.png") > system("convert tmp/631m01193399964.ps tmp/631m01193399964.png") > > > proc.time() user system elapsed 1.644 0.968 1.847