R version 2.9.0 (2009-04-17) Copyright (C) 2009 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(1.4,1.6,1.7,2.0,2.0,2.1,2.5,2.5,2.6,2.7,3.7,4.0,5.0,5.1,5.1,5.0,5.1,4.7,4.5,4.5,4.6,4.6,4.6,4.6,5.3,5.4,5.3,5.2,5.0,4.2,4.3,4.3,4.3,4.0,4.0,4.1,4.4,3.6,3.7,3.8,3.3,3.3,3.3,3.5,3.3,3.3,3.4,3.4,5.2,5.3,4.8,5.0,4.6,4.6,3.5,3.5) > 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] 56 > (np <- floor(n / par1)) [1] 4 > 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 4 4 4 4 > arr [,1] [,2] [,3] [,4] [,5] [1,] 1.4 5.0 5.3 4.4 5.2 [2,] 1.6 5.1 5.4 3.6 5.3 [3,] 1.7 5.1 5.3 3.7 4.8 [4,] 2.0 5.0 5.2 3.8 5.0 [5,] 2.0 5.1 5.0 3.3 4.6 [6,] 2.1 4.7 4.2 3.3 4.6 [7,] 2.5 4.5 4.3 3.3 3.5 [8,] 2.5 4.5 4.3 3.5 3.5 [9,] 2.6 4.6 4.3 3.3 NA [10,] 2.7 4.6 4.0 3.3 NA [11,] 3.7 4.6 4.0 3.4 NA [12,] 4.0 4.6 4.1 3.4 NA > darr [,1] [,2] [,3] [,4] [,5] [1,] 0.2 0.1 0.1 -0.8 0.1 [2,] 0.1 0.0 -0.1 0.1 -0.5 [3,] 0.3 -0.1 -0.1 0.1 0.2 [4,] 0.0 0.1 -0.2 -0.5 -0.4 [5,] 0.1 -0.4 -0.8 0.0 0.0 [6,] 0.4 -0.2 0.1 0.0 -1.1 [7,] 0.0 0.0 0.0 0.2 0.0 [8,] 0.1 0.1 0.0 -0.2 NA [9,] 0.1 0.0 -0.3 0.0 NA [10,] 1.0 0.0 0.0 0.1 NA [11,] 0.3 0.0 0.1 0.0 NA [12,] 1.0 0.7 0.3 1.8 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/180y31258120061.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/21c1t1258120061.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/303oc1258120061.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/4nr8h1258120061.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,] 4.4 1.6 1.7 2.0 2.0 2.1 2.5 2.5 2.60 2.70 3.40 3.40 [2,] 4.4 3.6 3.7 3.8 3.3 3.3 3.3 3.5 2.95 3.00 3.55 3.70 [3,] 5.0 5.1 4.8 5.0 4.6 4.2 3.5 3.5 3.80 3.65 3.85 4.05 [4,] 5.2 5.3 5.1 5.0 5.0 4.6 4.3 4.3 4.45 4.30 4.30 4.35 [5,] 5.3 5.4 5.3 5.2 5.1 4.7 4.5 4.5 4.60 4.60 4.60 4.60 $n [1] 5 5 5 5 5 5 5 5 4 4 4 4 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 4.434722 3.898784 3.810764 4.152083 3.398784 3.281423 2.793403 2.934722 [2,] 5.565278 6.301216 5.789236 5.847917 5.801216 5.118577 4.206597 4.065278 [,9] [,10] [,11] [,12] [1,] 2.615 2.623 3.2575 3.5365 [2,] 4.985 4.677 4.4425 4.5635 $out [1] 1.4 $group [1] 1 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(4.4, 4.4, 5, 5.2, 5.3, 1.6, 3.6, 5.1, 5.3, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/55ykg1258120061.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,] 0.1 -0.1 -0.1 -0.5 -0.8 -0.2 0 -0.20 -0.30 0.00 0.00 0.30 [2,] 0.1 -0.1 -0.1 -0.4 -0.4 -0.2 0 -0.10 -0.15 0.00 0.00 0.50 [3,] 0.1 0.0 0.1 -0.2 0.0 0.0 0 0.05 0.00 0.05 0.05 0.85 [4,] 0.1 0.1 0.2 0.0 0.0 0.1 0 0.10 0.05 0.55 0.20 1.40 [5,] 0.1 0.1 0.3 0.1 0.1 0.4 0 0.10 0.10 1.00 0.30 1.80 $n [1] 5 5 5 5 5 5 5 4 4 4 4 4 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 0.1 -0.1413195 -0.1119792 -0.482639 -0.282639 -0.2119792 0 -0.108 [2,] 0.1 0.1413195 0.3119792 0.082639 0.282639 0.2119792 0 0.208 [,9] [,10] [,11] [,12] [1,] -0.158 -0.3845 -0.108 0.139 [2,] 0.158 0.4845 0.208 1.561 $out [1] 0.2 -0.8 -0.5 -1.1 0.2 $group [1] 1 1 2 6 7 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(0.0999999999999996, 0.0999999999999996, 0.0999999999999996, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/624581258120061.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] [1,] 1.40 4.50 4.00 3.30 3.50 [2,] 1.85 4.60 4.15 3.30 4.05 [3,] 2.30 4.65 4.30 3.40 4.70 [4,] 2.65 5.05 5.25 3.65 5.10 [5,] 3.70 5.10 5.40 3.80 5.30 $n [1] 12 12 12 12 8 $conf [,1] [,2] [,3] [,4] [,5] [1,] 1.935115 4.444752 3.798283 3.240363 4.113455 [2,] 2.664885 4.855248 4.801717 3.559637 5.286545 $out [1] 4.0 4.4 $group [1] 1 4 $names [1] "1" "2" "3" "4" NA Warning message: In bxp(list(stats = c(1.4, 1.85, 2.3, 2.65, 3.7, 4.5, 4.6, 4.65, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/7zt9i1258120061.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,] 3.6200 3.500 3.65000 [2,] 3.6800 3.725 3.84375 [3,] 3.9625 4.125 3.99375 [4,] 4.1600 4.900 4.40000 [5,] 4.2600 5.100 4.80000 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] 3.743569 3.589075 3.740041 [2,] 4.181431 4.660925 4.247459 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" Warning message: In bxp(list(stats = c(3.62, 3.68, 3.9625, 4.16, 4.26, 3.5, 3.725, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > system("convert tmp/180y31258120061.ps tmp/180y31258120061.png") > system("convert tmp/21c1t1258120061.ps tmp/21c1t1258120061.png") > system("convert tmp/303oc1258120061.ps tmp/303oc1258120061.png") > system("convert tmp/4nr8h1258120061.ps tmp/4nr8h1258120061.png") > system("convert tmp/55ykg1258120061.ps tmp/55ykg1258120061.png") > system("convert tmp/624581258120061.ps tmp/624581258120061.png") > system("convert tmp/7zt9i1258120061.ps tmp/7zt9i1258120061.png") > > > proc.time() user system elapsed 1.190 0.936 1.658