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Type 'q()' to quit R. > x <- c(80,80,80,80,80,80,80,80,80,80,80,80,80,80,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,110,110,110,110,110,110,110,110,110,110,110,110,110,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,200,210) > par1 = '12' > par1 <- '12' > #'GNU S' R Code compiled by R2WASP v. 1.2.291 () > #Author: root > #To cite this work: Wessa P., (2012), Mean Plot (v1.0.4) 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) > (n <- length(x)) [1] 153 > (np <- floor(n / par1)) [1] 12 > 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] 13 13 13 13 13 13 13 13 13 12 12 12 > arr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [1,] 80 80 85 90 90 90 90 90 90 100 110 120 120 [2,] 80 80 85 90 90 90 90 90 90 100 110 120 120 [3,] 80 85 85 90 90 90 90 90 90 100 110 120 120 [4,] 80 85 85 90 90 90 90 90 90 100 110 120 120 [5,] 80 85 85 90 90 90 90 90 90 100 110 120 120 [6,] 80 85 85 90 90 90 90 90 90 100 110 120 120 [7,] 80 85 85 90 90 90 90 90 100 100 110 120 120 [8,] 80 85 85 90 90 90 90 90 100 100 110 120 200 [9,] 80 85 85 90 90 90 90 90 100 100 110 120 210 [10,] 80 85 85 90 90 90 90 90 100 110 110 120 NA [11,] 80 85 85 90 90 90 90 90 100 110 120 120 NA [12,] 80 85 85 90 90 90 90 90 100 110 120 120 NA > darr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [1,] 0 0 0 0 0 0 0 0 0 0 0 0 0 [2,] 0 5 0 0 0 0 0 0 0 0 0 0 0 [3,] 0 0 0 0 0 0 0 0 0 0 0 0 0 [4,] 0 0 0 0 0 0 0 0 0 0 0 0 0 [5,] 0 0 0 0 0 0 0 0 0 0 0 0 0 [6,] 0 0 0 0 0 0 0 0 10 0 0 0 0 [7,] 0 0 0 0 0 0 0 0 0 0 0 0 80 [8,] 0 0 0 0 0 0 0 0 0 0 0 0 10 [9,] 0 0 0 0 0 0 0 0 0 10 0 0 NA [10,] 0 0 0 0 0 0 0 0 0 0 10 0 NA [11,] 0 0 0 0 0 0 0 0 0 0 0 0 NA [12,] 0 0 5 0 0 0 0 0 0 0 0 0 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/1a2j91424955642.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/26mth1424955642.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/3r6ie1424955642.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/4k7561424955642.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] [,11] [,12] [1,] 80 80 80 80 80 80 80 80 80 80.0 80.0 80.0 [2,] 90 90 90 90 90 90 90 90 90 87.5 87.5 87.5 [3,] 90 90 90 90 90 90 90 90 90 90.0 90.0 90.0 [4,] 100 100 100 100 100 100 100 100 100 105.0 105.0 105.0 [5,] 110 110 110 110 110 110 110 110 110 120.0 120.0 120.0 $n [1] 13 13 13 13 13 13 13 13 13 12 12 12 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 85.61787 85.61787 85.61787 85.61787 85.61787 85.61787 85.61787 85.61787 [2,] 94.38213 94.38213 94.38213 94.38213 94.38213 94.38213 94.38213 94.38213 [,9] [,10] [,11] [,12] [1,] 85.61787 82.01813 82.01813 82.01813 [2,] 94.38213 97.98187 97.98187 97.98187 $out [1] 120 120 120 120 120 120 120 120 120 120 120 120 120 120 120 200 120 210 $group [1] 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(80, 90, 90, 100, 110, 80, 90, 90, 100, 110, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/5cgz71424955642.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 0 0 0 [2,] 0 0 0 0 0 0 0 0 0 0 0 0 [3,] 0 0 0 0 0 0 0 0 0 0 0 0 [4,] 0 0 0 0 0 0 0 0 0 0 0 0 [5,] 0 0 0 0 0 0 0 0 0 0 0 0 $n [1] 13 13 13 13 13 13 13 13 12 12 12 12 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [1,] 0 0 0 0 0 0 0 0 0 0 0 0 [2,] 0 0 0 0 0 0 0 0 0 0 0 0 $out [1] 5 10 80 10 10 10 5 $group [1] 2 6 7 8 9 10 12 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/6df4w1424955642.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] [,12] [,13] [1,] 80 85 85 90 90 90 90 90 90 100 110 120 120 [2,] 80 85 85 90 90 90 90 90 90 100 110 120 120 [3,] 80 85 85 90 90 90 90 90 95 100 110 120 120 [4,] 80 85 85 90 90 90 90 90 100 105 110 120 120 [5,] 80 85 85 90 90 90 90 90 100 110 110 120 120 $n [1] 12 12 12 12 12 12 12 12 12 12 12 12 9 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [1,] 80 85 85 90 90 90 90 90 90.43893 97.71947 110 120 [2,] 80 85 85 90 90 90 90 90 99.56107 102.28053 110 120 [,13] [1,] 120 [2,] 120 $out [1] 80 80 120 120 200 210 $group [1] 2 2 11 11 13 13 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" NA Warning message: In bxp(list(stats = c(80, 80, 80, 80, 80, 85, 85, 85, 85, 85, 85, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/7msrw1424955642.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,] 95.00000 90 95.0000 [2,] 95.19231 90 95.0000 [3,] 95.38462 90 95.0000 [4,] 95.99359 90 95.3125 [5,] 96.15385 90 95.6250 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] 95.01915 90 94.85747 [2,] 95.75009 90 95.14253 $out [1] 102.3077 103.0769 $group [1] 1 1 $names [1] "mean" "median" "midrange" Warning message: In bxp(list(stats = c(95, 95.1923076923077, 95.3846153846154, 95.9935897435898, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > try(system("convert tmp/1a2j91424955642.ps tmp/1a2j91424955642.png",intern=TRUE)) character(0) > try(system("convert tmp/26mth1424955642.ps tmp/26mth1424955642.png",intern=TRUE)) character(0) > try(system("convert tmp/3r6ie1424955642.ps tmp/3r6ie1424955642.png",intern=TRUE)) character(0) > try(system("convert tmp/4k7561424955642.ps tmp/4k7561424955642.png",intern=TRUE)) character(0) > try(system("convert tmp/5cgz71424955642.ps tmp/5cgz71424955642.png",intern=TRUE)) character(0) > try(system("convert tmp/6df4w1424955642.ps tmp/6df4w1424955642.png",intern=TRUE)) character(0) > try(system("convert tmp/7msrw1424955642.ps tmp/7msrw1424955642.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.559 0.472 3.058