R version 2.6.0 (2007-10-03) Copyright (C) 2007 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. Natural language support but running in an English locale 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(108.4,117,103.8,100.8,110.6,104,112.6,107.3,98.9,109.8,104.9,102.2,123.9,124.9,112.7,121.9,100.6,104.3,120.4,107.5,102.9,125.6,107.5,108.8,128.4,121.1,119.5,128.7,108.7,105.5,119.8,111.3,110.6,120.1,97.5,107.7,127.3,117.2,119.8,116.2,111,112.4,130.6,109.1,118.8,123.9,101.6,112.8,128,129.6,125.8,119.5,115.7,113.6,129.7,112,116.8,126.3,112.9,115.9) > par1 = '12' > #'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] 60 > (np <- floor(n / par1)) [1] 5 > 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] 5 5 5 5 5 5 5 5 5 5 5 5 > arr [,1] [,2] [,3] [,4] [,5] [,6] [1,] 108.4 123.9 128.4 127.3 128.0 NA [2,] 117.0 124.9 121.1 117.2 129.6 NA [3,] 103.8 112.7 119.5 119.8 125.8 NA [4,] 100.8 121.9 128.7 116.2 119.5 NA [5,] 110.6 100.6 108.7 111.0 115.7 NA [6,] 104.0 104.3 105.5 112.4 113.6 NA [7,] 112.6 120.4 119.8 130.6 129.7 NA [8,] 107.3 107.5 111.3 109.1 112.0 NA [9,] 98.9 102.9 110.6 118.8 116.8 NA [10,] 109.8 125.6 120.1 123.9 126.3 NA [11,] 104.9 107.5 97.5 101.6 112.9 NA [12,] 102.2 108.8 107.7 112.8 115.9 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/1qwtr1193399826.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/2wu4c1193399826.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/3ddk41193399826.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/4o6341193399826.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,] 123.9 117.0 103.8 116.2 108.7 104.0 112.6 107.3 98.9 120.1 97.5 102.2 [2,] 123.9 117.2 112.7 116.2 108.7 104.3 119.8 107.5 102.9 120.1 101.6 107.7 [3,] 127.3 121.1 119.5 119.5 110.6 105.5 120.4 109.1 110.6 123.9 104.9 108.8 [4,] 128.0 124.9 119.8 121.9 111.0 112.4 129.7 111.3 116.8 125.6 107.5 112.8 [5,] 128.4 129.6 125.8 128.7 111.0 113.6 130.6 112.0 118.8 126.3 112.9 115.9 $n [1] 5 5 5 5 5 5 5 5 5 5 5 5 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 124.4030 115.6592 114.4832 115.4724 108.9748 99.77656 113.4047 106.4149 [2,] 130.1970 126.5408 124.5168 123.5276 112.2252 111.22344 127.3953 111.7851 [,9] [,10] [,11] [,12] [1,] 100.7783 120.0137 100.7311 105.1964 [2,] 120.4217 127.7863 109.0689 112.4036 $out [1] 108.4 100.8 100.6 115.7 109.8 $group [1] 1 4 5 5 10 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(123.9, 123.9, 127.3, 128, 128.4, 117, 117.2, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/5e88t1193399826.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,] 98.9 100.60 97.5 101.60 112.00 NA [2,] 103.0 105.90 108.2 111.70 114.65 NA [3,] 106.1 110.75 115.4 116.70 118.15 NA [4,] 110.2 122.90 120.6 121.85 127.15 NA [5,] 117.0 125.60 128.7 130.60 129.70 NA $n [1] 12 12 12 12 12 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [1,] 102.8160 102.9962 109.7443 112.0705 112.4487 NA [2,] 109.3840 118.5038 121.0557 121.3295 123.8513 NA $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" "5" NA Warning message: In bxp(list(stats = c(98.9, 103, 106.1, 110.2, 117, 100.6, 105.9, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/6rkq41193399826.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,] 104.88 104.90 104.550 [2,] 109.38 108.95 109.625 [3,] 112.96 115.05 113.250 [4,] 121.55 120.75 121.950 [5,] 123.20 127.30 125.950 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] 107.4092 109.6679 107.6285 [2,] 118.5108 120.4321 118.8715 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" Warning message: In bxp(list(stats = c(104.88, 109.38, 112.96, 121.55, 123.2, 104.9, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > system("convert tmp/1qwtr1193399826.ps tmp/1qwtr1193399826.png") > system("convert tmp/2wu4c1193399826.ps tmp/2wu4c1193399826.png") > system("convert tmp/3ddk41193399826.ps tmp/3ddk41193399826.png") > system("convert tmp/4o6341193399826.ps tmp/4o6341193399826.png") > system("convert tmp/5e88t1193399826.ps tmp/5e88t1193399826.png") > system("convert tmp/6rkq41193399826.ps tmp/6rkq41193399826.png") > > > proc.time() user system elapsed 2.406 1.363 2.603