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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 = '50' > x <- x[x>quantile(x,0.05) & x #'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] 53 > (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 2 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 [39] 1 1 1 1 1 1 1 1 1 1 1 1 > arr [,1] [,2] [1,] 88.6 84.2 [2,] 94.3 90.7 [3,] 98.3 100.3 [4,] 86.4 NA [5,] 80.6 NA [6,] 93.4 NA [7,] 71.9 NA [8,] 94.1 NA [9,] 94.9 NA [10,] 96.4 NA [11,] 91.1 NA [12,] 84.4 NA [13,] 86.4 NA [14,] 88.0 NA [15,] 75.1 NA [16,] 103.0 NA [17,] 82.1 NA [18,] 96.4 NA [19,] 94.3 NA [20,] 90.0 NA [21,] 88.0 NA [22,] 76.1 NA [23,] 82.5 NA [24,] 81.4 NA [25,] 97.2 NA [26,] 94.1 NA [27,] 80.7 NA [28,] 87.8 NA [29,] 89.5 NA [30,] 99.6 NA [31,] 84.2 NA [32,] 75.1 NA [33,] 92.0 NA [34,] 80.8 NA [35,] 73.1 NA [36,] 99.8 NA [37,] 90.0 NA [38,] 83.1 NA [39,] 72.4 NA [40,] 78.8 NA [41,] 87.3 NA [42,] 91.0 NA [43,] 80.1 NA [44,] 73.6 NA [45,] 86.4 NA [46,] 74.5 NA [47,] 71.2 NA [48,] 92.4 NA [49,] 81.5 NA [50,] 85.3 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/1fd1p1225402895.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/2gwdz1225402895.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/3kvui1225402895.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/4bjcp1225402895.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,] 84.2 90.7 98.3 86.4 80.6 93.4 71.9 94.1 94.9 96.4 91.1 84.4 86.4 [2,] 84.2 90.7 98.3 86.4 80.6 93.4 71.9 94.1 94.9 96.4 91.1 84.4 86.4 [3,] 86.4 92.5 99.3 86.4 80.6 93.4 71.9 94.1 94.9 96.4 91.1 84.4 86.4 [4,] 88.6 94.3 100.3 86.4 80.6 93.4 71.9 94.1 94.9 96.4 91.1 84.4 86.4 [5,] 88.6 94.3 100.3 86.4 80.6 93.4 71.9 94.1 94.9 96.4 91.1 84.4 86.4 [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [1,] 88 75.1 103 82.1 96.4 94.3 90 88 76.1 82.5 81.4 97.2 [2,] 88 75.1 103 82.1 96.4 94.3 90 88 76.1 82.5 81.4 97.2 [3,] 88 75.1 103 82.1 96.4 94.3 90 88 76.1 82.5 81.4 97.2 [4,] 88 75.1 103 82.1 96.4 94.3 90 88 76.1 82.5 81.4 97.2 [5,] 88 75.1 103 82.1 96.4 94.3 90 88 76.1 82.5 81.4 97.2 [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [1,] 94.1 80.7 87.8 89.5 99.6 84.2 75.1 92 80.8 73.1 99.8 90 [2,] 94.1 80.7 87.8 89.5 99.6 84.2 75.1 92 80.8 73.1 99.8 90 [3,] 94.1 80.7 87.8 89.5 99.6 84.2 75.1 92 80.8 73.1 99.8 90 [4,] 94.1 80.7 87.8 89.5 99.6 84.2 75.1 92 80.8 73.1 99.8 90 [5,] 94.1 80.7 87.8 89.5 99.6 84.2 75.1 92 80.8 73.1 99.8 90 [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [1,] 83.1 72.4 78.8 87.3 91 80.1 73.6 86.4 74.5 71.2 92.4 81.5 [2,] 83.1 72.4 78.8 87.3 91 80.1 73.6 86.4 74.5 71.2 92.4 81.5 [3,] 83.1 72.4 78.8 87.3 91 80.1 73.6 86.4 74.5 71.2 92.4 81.5 [4,] 83.1 72.4 78.8 87.3 91 80.1 73.6 86.4 74.5 71.2 92.4 81.5 [5,] 83.1 72.4 78.8 87.3 91 80.1 73.6 86.4 74.5 71.2 92.4 81.5 [,50] [1,] 85.3 [2,] 85.3 [3,] 85.3 [4,] 85.3 [5,] 85.3 $n [1] 2 2 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 [39] 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,] 81.4842 88.47798 97.06554 86.4 80.6 93.4 71.9 94.1 94.9 96.4 91.1 84.4 [2,] 91.3158 96.52202 101.53446 86.4 80.6 93.4 71.9 94.1 94.9 96.4 91.1 84.4 [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 86.4 88 75.1 103 82.1 96.4 94.3 90 88 76.1 82.5 81.4 [2,] 86.4 88 75.1 103 82.1 96.4 94.3 90 88 76.1 82.5 81.4 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [1,] 97.2 94.1 80.7 87.8 89.5 99.6 84.2 75.1 92 80.8 73.1 99.8 [2,] 97.2 94.1 80.7 87.8 89.5 99.6 84.2 75.1 92 80.8 73.1 99.8 [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [1,] 90 83.1 72.4 78.8 87.3 91 80.1 73.6 86.4 74.5 71.2 92.4 [2,] 90 83.1 72.4 78.8 87.3 91 80.1 73.6 86.4 74.5 71.2 92.4 [,49] [,50] [1,] 81.5 85.3 [2,] 81.5 85.3 $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" Warning message: In bxp(list(stats = c(84.2, 84.2, 86.4, 88.6, 88.6, 90.7, 90.7, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/50crz1225402895.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,] 71.20 84.20 [2,] 80.70 87.45 [3,] 86.85 90.70 [4,] 93.40 95.50 [5,] 103.00 100.30 $n [1] 50 3 $conf [,1] [,2] [1,] 84.01224 83.35668 [2,] 89.68776 98.04332 $out numeric(0) $group numeric(0) $names [1] "1" NA Warning message: In bxp(list(stats = c(71.2, 80.7, 86.85, 93.4, 103, 84.2, 87.45, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/6w18e1225402895.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,] 71.2 71.2 71.2 [2,] 80.7 80.7 80.7 [3,] 86.4 86.4 86.4 [4,] 92.5 92.5 92.5 [5,] 103.0 103.0 103.0 $n [1] 50 50 50 $conf [,1] [,2] [,3] [1,] 83.76334 83.76334 83.76334 [2,] 89.03666 89.03666 89.03666 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" > dev.off() null device 1 > > system("convert tmp/1fd1p1225402895.ps tmp/1fd1p1225402895.png") > system("convert tmp/2gwdz1225402895.ps tmp/2gwdz1225402895.png") > system("convert tmp/3kvui1225402895.ps tmp/3kvui1225402895.png") > system("convert tmp/4bjcp1225402895.ps tmp/4bjcp1225402895.png") > system("convert tmp/50crz1225402895.ps tmp/50crz1225402895.png") > system("convert tmp/6w18e1225402895.ps tmp/6w18e1225402895.png") > > > proc.time() user system elapsed 1.413 0.888 6.075