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Type 'q()' to quit R. > x <- c(87.16,87.16,87.16,87.16,87.16,87.16,87.16,87.16,87.16,89.24,89.24,89.24,89.24,89.24,89.24,89.24,89.24,89.24,89.24,89.24,89.24,91,91,91,91,91,91,91,91,91,91,91,91,92.51,92.51,92.51,92.51,92.51,92.51,92.51,92.51,92.51,92.51,92.51,92.51,96.67,96.67,96.67,96.67,96.67,96.67,96.67,96.67,96.67,96.67,96.67,96.67,96.19,96.19,96.19,96.19,96.19,96.19,96.19,96.19,96.19,96.19,96.19,96.19,99.13,99.13,99.13,99.13,99.13,99.13,99.13,99.13,99.13,99.13,99.13,99.13,99.58,99.58,99.58,99.58,99.58,99.58,99.58,99.58,99.58,99.58,99.58,99.58,101.27,101.27,101.27,101.25,101.25,101.25,101.25,101.25,101.25,101.25,101.25,101.25,102.55,102.55,102.55,102.55,102.55,102.55,102.55,102.55,102.55,102.55,102.55,102.55,132.09,132.09,132.09) > par1 = '12' > par1 <- '12' > #'GNU S' R Code compiled by R2WASP v. 1.2.327 (Mon, 30 Nov 2015 07:01:18 +0000) > #Author: root > #To cite this work: Wessa P., (2015), Mean Plot (v1.0.5) 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 > # > par1 <- as.numeric(par1) > x <- na.omit(x) > (n <- length(x)) [1] 120 > (np <- floor(n / par1)) [1] 10 > 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] 10 10 10 10 10 10 10 10 10 10 10 10 > arr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [1,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13 99.58 101.25 102.55 NA [2,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13 99.58 101.25 102.55 NA [3,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13 99.58 101.25 102.55 NA [4,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13 99.58 101.25 102.55 NA [5,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13 99.58 101.25 102.55 NA [6,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13 99.58 101.25 102.55 NA [7,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13 99.58 101.25 102.55 NA [8,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13 99.58 101.25 102.55 NA [9,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13 99.58 101.25 102.55 NA [10,] 89.24 91.00 92.51 96.67 96.19 99.13 99.58 101.27 102.55 132.09 NA [11,] 89.24 91.00 92.51 96.67 96.19 99.13 99.58 101.27 102.55 132.09 NA [12,] 89.24 91.00 92.51 96.67 96.19 99.13 99.58 101.27 102.55 132.09 NA > darr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [1,] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.0 0.00 NA [2,] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.0 0.00 NA [3,] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.0 0.00 NA [4,] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.0 0.00 NA [5,] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.0 0.00 NA [6,] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.0 0.00 NA [7,] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.0 0.00 NA [8,] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.0 0.00 NA [9,] 2.08 1.76 1.51 4.16 -0.48 2.94 0.45 1.69 1.3 29.54 NA [10,] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.0 0.00 NA [11,] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.0 0.00 NA [12,] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.02 0.0 NA 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/wessaorg/rcomp/tmp/1pshv1457978768.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/2vhyk1457978768.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/3rpyp1457978768.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/4n4z71457978768.ps",horizontal=F,onefile=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] [1,] 87.16 87.16 87.16 87.16 87.16 87.16 87.16 87.16 87.16 89.24 [2,] 91.00 91.00 91.00 91.00 91.00 91.00 91.00 91.00 91.00 92.51 [3,] 96.43 96.43 96.43 96.43 96.43 96.43 96.43 96.43 96.43 97.90 [4,] 99.58 99.58 99.58 99.58 99.58 99.58 99.58 99.58 99.58 101.27 [5,] 102.55 102.55 102.55 102.55 102.55 102.55 102.55 102.55 102.55 102.55 [,11] [,12] [1,] 89.24 89.24 [2,] 92.51 92.51 [3,] 97.90 97.90 [4,] 101.27 101.27 [5,] 102.55 102.55 $n [1] 10 10 10 10 10 10 10 10 10 10 10 10 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] 92.14309 92.14309 92.14309 92.14309 92.14309 92.14309 92.14309 [2,] 100.71691 100.71691 100.71691 100.71691 100.71691 100.71691 100.71691 [,8] [,9] [,10] [,11] [,12] [1,] 92.14309 92.14309 93.52315 93.52315 93.52315 [2,] 100.71691 100.71691 102.27685 102.27685 102.27685 $out [1] 132.09 132.09 132.09 $group [1] 10 11 12 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(87.16, 91, 96.43, 99.58, 102.55, 87.16, 91, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/5n48x1457978768.ps",horizontal=F,onefile=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 -0.480 0 0 0 [2,] 0 0 0 0 0 0 0 0 1.300 0 0 0 [3,] 0 0 0 0 0 0 0 0 1.725 0 0 0 [4,] 0 0 0 0 0 0 0 0 2.940 0 0 0 [5,] 0 0 0 0 0 0 0 0 4.160 0 0 0 $n [1] 10 10 10 10 10 10 10 10 10 10 10 9 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [1,] 0 0 0 0 0 0 0 0 0.9055906 0 0 0 [2,] 0 0 0 0 0 0 0 0 2.5444094 0 0 0 $out [1] 29.54 -0.02 $group [1] 9 12 $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/wessaorg/rcomp/tmp/63f9j1457978768.ps",horizontal=F,onefile=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] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [1,] 87.16 89.24 91.000 92.51 96.19 96.19 99.130 99.580 101.25 102.55 NA [2,] 87.16 89.24 91.000 92.51 96.43 96.19 99.130 99.580 101.25 102.55 NA [3,] 87.16 89.24 91.000 92.51 96.67 96.19 99.130 99.580 101.25 102.55 NA [4,] 88.20 90.12 91.755 94.59 96.67 97.66 99.355 100.425 101.90 117.32 NA [5,] 89.24 91.00 92.510 96.67 96.67 99.13 99.580 101.270 102.55 132.09 NA $n [1] 12 12 12 12 12 12 12 12 12 12 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 86.68565 88.83863 90.65564 91.5613 96.56053 95.51952 99.02738 99.19459 [2,] 87.63435 89.64137 91.34436 93.4587 96.77947 96.86048 99.23262 99.96541 [,9] [,10] [,11] [1,] 100.9535 95.8133 NA [2,] 101.5465 109.2867 NA $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" NA Warning message: In bxp(list(stats = c(87.16, 87.16, 87.16, 88.2, 89.24, 89.24, 89.24, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/79v5v1457978768.ps",horizontal=F,onefile=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,] 95.5280 96.430 95.42250 [2,] 95.5280 96.430 95.42250 [3,] 95.5280 96.430 95.42250 [4,] 97.7755 97.165 96.28063 [5,] 100.0230 97.900 97.13875 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] 94.5029 96.09476 95.0311 [2,] 96.5531 96.76524 95.8139 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" Warning message: In bxp(list(stats = c(95.528, 95.528, 95.528, 97.7755, 100.023, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > try(system("convert tmp/1pshv1457978768.ps tmp/1pshv1457978768.png",intern=TRUE)) character(0) > try(system("convert tmp/2vhyk1457978768.ps tmp/2vhyk1457978768.png",intern=TRUE)) character(0) > try(system("convert tmp/3rpyp1457978768.ps tmp/3rpyp1457978768.png",intern=TRUE)) character(0) > try(system("convert tmp/4n4z71457978768.ps tmp/4n4z71457978768.png",intern=TRUE)) character(0) > try(system("convert tmp/5n48x1457978768.ps tmp/5n48x1457978768.png",intern=TRUE)) character(0) > try(system("convert tmp/63f9j1457978768.ps tmp/63f9j1457978768.png",intern=TRUE)) character(0) > try(system("convert tmp/79v5v1457978768.ps tmp/79v5v1457978768.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.732 0.458 3.218