R version 2.8.1 (2008-12-22) Copyright (C) 2008 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- c(-3,-2,-3,-1,3,-4,-15,-17,-14,-9,-17,-7,-6,-1,0,-2,-4,-6,-2,1,7,2,2,13,7,-1,1,0,0,5,3,6,7,-6,-8,-5,-14,-13,-15,-14,-10,-14,-18,-22,-24,-17,-16,-17,-22,-25,-18,-23,-20,-9,-4,0,3,14,13,12) > 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] 60 > (np <- floor(n / par1)) [1] 5 > 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] 5 5 5 5 5 5 5 5 5 5 5 5 > arr [,1] [,2] [,3] [,4] [,5] [,6] [1,] -3 -6 7 -14 -22 NA [2,] -2 -1 -1 -13 -25 NA [3,] -3 0 1 -15 -18 NA [4,] -1 -2 0 -14 -23 NA [5,] 3 -4 0 -10 -20 NA [6,] -4 -6 5 -14 -9 NA [7,] -15 -2 3 -18 -4 NA [8,] -17 1 6 -22 0 NA [9,] -14 7 7 -24 3 NA [10,] -9 2 -6 -17 14 NA [11,] -17 2 -8 -16 13 NA [12,] -7 13 -5 -17 12 NA > darr [,1] [,2] [,3] [,4] [,5] [,6] [1,] 1 5 -8 1 -3 NA [2,] -1 1 2 -2 7 NA [3,] 2 -2 -1 1 -5 NA [4,] 4 -2 0 4 3 NA [5,] -7 -2 5 -4 11 NA [6,] -11 4 -2 -4 5 NA [7,] -2 3 3 -4 4 NA [8,] 3 6 1 -2 3 NA [9,] 5 -5 -13 7 11 NA [10,] -8 0 -2 1 -1 NA [11,] 10 11 3 -1 -1 NA [12,] 1 -6 -9 -5 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/www/rcomp/tmp/1hhu01257948496.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/rcomp/tmp/2xh5p1257948496.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/rcomp/tmp/38tr41257948496.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/rcomp/tmp/46yy31257948496.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] [1,] -22 -25 -18 -23 -20 -14 -18 -22 -24 -17 -17 -17 [2,] -14 -13 -15 -14 -10 -9 -15 -17 -14 -9 -16 -7 [3,] -6 -2 -3 -2 -4 -6 -4 0 3 -6 -8 -5 [4,] -3 -1 0 -1 0 -4 -2 1 7 2 2 12 [5,] 7 -1 1 0 3 -4 3 6 7 14 13 13 $n [1] 5 5 5 5 5 5 5 5 5 5 5 5 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] -13.772572 -10.47917 -13.598962 -11.185767 -11.065975 -9.532987 -13.185767 [2,] 1.772572 6.47917 7.598962 7.185767 3.065975 -2.467013 5.185767 [,8] [,9] [,10] [,11] [,12] [1,] -12.71875 -11.83855 -13.772572 -20.718755 -18.425352 [2,] 12.71875 17.83855 1.772572 4.718755 8.425352 $out [1] 5 $group [1] 6 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(-22, -14, -6, -3, 7, -25, -13, -2, -1, -1, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/59gwo1257948496.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,] -8 -2 -5 -2 -7 -11 -4 -2 -13 -2 -1 -9.0 [2,] -3 -1 -2 0 -4 -4 -2 1 -5 -2 -1 -7.5 [3,] 1 1 -1 3 -2 -2 3 3 5 -1 3 -5.5 [4,] 1 2 1 4 5 4 3 3 7 0 10 -2.0 [5,] 5 2 2 4 11 5 4 6 11 1 11 1.0 $n [1] 5 5 5 5 5 5 5 5 5 5 5 4 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] -1.82639 -1.119792 -3.119792 0.1736101 -8.359377 -7.65278 -0.5329874 [2,] 3.82639 3.119792 1.119792 5.8263899 4.359377 3.65278 6.5329874 [,8] [,9] [,10] [,11] [,12] [1,] 1.586805 -3.47917 -2.413195 -4.772572 -9.845 [2,] 4.413195 13.47917 0.413195 10.772572 -1.155 $out [1] 7 -8 $group [1] 2 10 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(-8, -3, 1, 1, 5, -2, -1, 1, 2, 2, -5, -2, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/6f3wz1257948496.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] [,5] [,6] [1,] -17.0 -6.0 -8.0 -22.0 -25.0 NA [2,] -14.5 -3.0 -3.0 -17.5 -21.0 NA [3,] -5.5 -0.5 0.5 -15.5 -6.5 NA [4,] -2.5 2.0 5.5 -14.0 7.5 NA [5,] 3.0 7.0 7.0 -10.0 14.0 NA $n [1] 12 12 12 12 12 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [1,] -10.97328055 -2.780534 -3.376907 -17.09637 -19.499041 NA [2,] -0.02671945 1.780534 4.376907 -13.90363 6.499041 NA $out [1] 13 -24 $group [1] 2 4 $names [1] "1" "2" "3" "4" "5" NA Warning message: In bxp(list(stats = c(-17, -14.5, -5.5, -2.5, 3, -6, -3, -0.5, 2, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/7vu2z1257948496.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,] -8.4 -8 -8.50 [2,] -7.4 -6 -7.75 [3,] -6.3 -4 -7.00 [4,] -4.7 -2 -4.25 [5,] -0.8 3 -3.50 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] -7.531488 -5.824427 -8.596373 [2,] -5.068512 -2.175573 -5.403627 $out [1] 2.5 $group [1] 3 $names [1] "mean" "median" "midrange" Warning message: In bxp(list(stats = c(-8.4, -7.4, -6.3, -4.7, -0.8, -8, -6, -4, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > system("convert tmp/1hhu01257948496.ps tmp/1hhu01257948496.png") > system("convert tmp/2xh5p1257948496.ps tmp/2xh5p1257948496.png") > system("convert tmp/38tr41257948496.ps tmp/38tr41257948496.png") > system("convert tmp/46yy31257948496.ps tmp/46yy31257948496.png") > system("convert tmp/59gwo1257948496.ps tmp/59gwo1257948496.png") > system("convert tmp/6f3wz1257948496.ps tmp/6f3wz1257948496.png") > system("convert tmp/7vu2z1257948496.ps tmp/7vu2z1257948496.png") > > > proc.time() user system elapsed 1.60 1.45 2.78