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Type 'q()' to quit R. > x <- c(1.2103,1.1938,1.202,1.2271,1.277,1.265,1.2684,1.2811,1.2727,1.2611,1.2881,1.3213,1.2999,1.3074,1.3242,1.3516,1.3511,1.3419,1.3716,1.3622,1.3896,1.4227,1.4684,1.457,1.4718,1.4748,1.5527,1.5751,1.5557,1.5553,1.577,1.4975,1.4369,1.3322,1.2732,1.3449,1.3239,1.2785,1.305,1.319,1.365,1.4016,1.4088,1.4268,1.4562,1.4816,1.4914,1.4614,1.4272,1.3686,1.3569,1.3406,1.2565,1.2209,1.277,1.2894,1.3067,1.3898,1.3661,1.322,1.336,1.3649,1.3999,1.4442,1.4349,1.4388,1.4264,1.4343,1.377,1.3706,1.3556,1.3179,1.2905,1.3224,1.3201,1.3162,1.2789,1.2526,1.2288,1.24,1.2856,1.2974,1.2828,1.3119) > 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] 84 > (np <- floor(n / par1)) [1] 7 > 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] 7 7 7 7 7 7 7 7 7 7 7 7 > arr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 1.2103 1.2999 1.4718 1.3239 1.4272 1.3360 1.2905 NA [2,] 1.1938 1.3074 1.4748 1.2785 1.3686 1.3649 1.3224 NA [3,] 1.2020 1.3242 1.5527 1.3050 1.3569 1.3999 1.3201 NA [4,] 1.2271 1.3516 1.5751 1.3190 1.3406 1.4442 1.3162 NA [5,] 1.2770 1.3511 1.5557 1.3650 1.2565 1.4349 1.2789 NA [6,] 1.2650 1.3419 1.5553 1.4016 1.2209 1.4388 1.2526 NA [7,] 1.2684 1.3716 1.5770 1.4088 1.2770 1.4264 1.2288 NA [8,] 1.2811 1.3622 1.4975 1.4268 1.2894 1.4343 1.2400 NA [9,] 1.2727 1.3896 1.4369 1.4562 1.3067 1.3770 1.2856 NA [10,] 1.2611 1.4227 1.3322 1.4816 1.3898 1.3706 1.2974 NA [11,] 1.2881 1.4684 1.2732 1.4914 1.3661 1.3556 1.2828 NA [12,] 1.3213 1.4570 1.3449 1.4614 1.3220 1.3179 1.3119 NA > darr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] -0.0165 0.0075 0.0030 -0.0454 -0.0586 0.0289 0.0319 NA [2,] 0.0082 0.0168 0.0779 0.0265 -0.0117 0.0350 -0.0023 NA [3,] 0.0251 0.0274 0.0224 0.0140 -0.0163 0.0443 -0.0039 NA [4,] 0.0499 -0.0005 -0.0194 0.0460 -0.0841 -0.0093 -0.0373 NA [5,] -0.0120 -0.0092 -0.0004 0.0366 -0.0356 0.0039 -0.0263 NA [6,] 0.0034 0.0297 0.0217 0.0072 0.0561 -0.0124 -0.0238 NA [7,] 0.0127 -0.0094 -0.0795 0.0180 0.0124 0.0079 0.0112 NA [8,] -0.0084 0.0274 -0.0606 0.0294 0.0173 -0.0573 0.0456 NA [9,] -0.0116 0.0331 -0.1047 0.0254 0.0831 -0.0064 0.0118 NA [10,] 0.0270 0.0457 -0.0590 0.0098 -0.0237 -0.0150 -0.0146 NA [11,] 0.0332 -0.0114 0.0717 -0.0300 -0.0441 -0.0377 0.0291 NA [12,] -0.0214 0.0148 -0.0210 -0.0342 0.0140 -0.0274 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/1jso11384334073.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/2k0qo1384334073.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/3xre31384334073.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/4w3351384334073.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] [1,] 1.2103 1.19380 1.30500 1.2271 1.25650 1.2209 1.2288 1.24000 1.27270 [2,] 1.2952 1.29295 1.31255 1.3176 1.27795 1.2588 1.2727 1.28525 1.29615 [3,] 1.3239 1.32240 1.32420 1.3406 1.35110 1.3419 1.3716 1.36220 1.37700 [4,] 1.3816 1.36675 1.37840 1.3979 1.39995 1.4202 1.4176 1.43055 1.41325 [5,] 1.4718 1.47480 1.39990 1.4442 1.55570 1.5553 1.5770 1.49750 1.45620 [,10] [,11] [,12] [1,] 1.26110 1.27320 1.31190 [2,] 1.31480 1.28545 1.31960 [3,] 1.37060 1.35560 1.32200 [4,] 1.40625 1.41725 1.40095 [5,] 1.48160 1.49140 1.46140 $n [1] 7 7 7 7 7 7 7 7 7 7 7 7 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 1.272303 1.278328 1.284875 1.292646 1.278244 1.245515 1.285068 1.275429 [2,] 1.375497 1.366472 1.363525 1.388554 1.423956 1.438285 1.458132 1.448971 [,9] [,10] [,11] [,12] [1,] 1.30707 1.315988 1.276891 1.273419 [2,] 1.44693 1.425212 1.434309 1.370581 $out [1] 1.2020 1.5527 1.5751 $group [1] 3 3 4 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(1.2103, 1.2952, 1.3239, 1.3816, 1.4718, 1.1938, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/53ns01384334073.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] [1,] -0.05860 -0.01170 -0.01630 -0.08410 -0.03560 -0.0238 -0.00940 -0.06060 [2,] -0.03095 0.00295 0.00505 -0.02835 -0.01915 -0.0045 -0.00075 -0.03285 [3,] 0.00300 0.01680 0.02240 -0.00930 -0.00920 0.0072 0.01120 0.01730 [4,] 0.01820 0.03075 0.02625 0.02275 0.00175 0.0257 0.01255 0.02840 [5,] 0.03190 0.03500 0.04430 0.04990 0.00390 0.0561 0.01800 0.04560 [,9] [,10] [,11] [,12] [1,] -0.01160 -0.05900 -0.04410 -0.0342 [2,] -0.00900 -0.01935 -0.03385 -0.0274 [3,] 0.01180 -0.01460 -0.01140 -0.0212 [4,] 0.02925 0.01840 0.03115 0.0140 [5,] 0.08310 0.04570 0.07170 0.0148 $n [1] 7 7 7 7 7 7 7 7 7 7 7 6 $conf [,1] [,2] [,3] [,4] [,5] [,6] [1,] -0.02635159 0.0001982885 0.009739702 -0.0398161 -0.021681143 -0.01083495 [2,] 0.03235159 0.0334017115 0.035060298 0.0212161 0.003281143 0.02523495 [,7] [,8] [,9] [,10] [,11] [,12] [1,] 0.003257455 -0.01927751 -0.01104228 -0.037143691 -0.05021695 -0.047904337 [2,] 0.019142545 0.05387751 0.03464228 0.007943691 0.02741695 0.005504337 $out [1] 0.0779 0.0366 -0.0795 -0.1047 $group [1] 2 5 7 9 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(-0.0586, -0.03095, 0.00300000000000011, 0.0181999999999999, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/6z3ge1384334073.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] [1,] 1.19380 1.29990 1.27320 1.27850 1.22090 1.31790 1.22880 NA [2,] 1.21870 1.33305 1.39090 1.32145 1.28320 1.36025 1.26575 NA [3,] 1.26670 1.35690 1.48615 1.40520 1.33130 1.38845 1.28805 NA [4,] 1.27905 1.40615 1.55550 1.45880 1.36735 1.43460 1.31405 NA [5,] 1.32130 1.46840 1.57700 1.49140 1.42720 1.44420 1.32240 NA $n [1] 12 12 12 12 12 12 12 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 1.239174 1.323559 1.411075 1.342554 1.292919 1.354538 1.26602 NA [2,] 1.294226 1.390241 1.561225 1.467846 1.369681 1.422362 1.31008 NA $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" "5" "6" "7" NA Warning message: In bxp(list(stats = c(1.1938, 1.2187, 1.2667, 1.27905, 1.3213, 1.2999, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/77m3p1384334073.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,] 1.337086 1.32200 1.329850 [2,] 1.352636 1.32405 1.339225 [3,] 1.360736 1.34650 1.348413 [4,] 1.363700 1.36640 1.357825 [5,] 1.367686 1.37700 1.360525 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] 1.355689 1.327184 1.339929 [2,] 1.365782 1.365816 1.356896 $out [1] 1.330057 $group [1] 1 $names [1] "mean" "median" "midrange" Warning message: In bxp(list(stats = c(1.33708571428571, 1.35263571428571, 1.36073571428571, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > try(system("convert tmp/1jso11384334073.ps tmp/1jso11384334073.png",intern=TRUE)) character(0) > try(system("convert tmp/2k0qo1384334073.ps tmp/2k0qo1384334073.png",intern=TRUE)) character(0) > try(system("convert tmp/3xre31384334073.ps tmp/3xre31384334073.png",intern=TRUE)) character(0) > try(system("convert tmp/4w3351384334073.ps tmp/4w3351384334073.png",intern=TRUE)) character(0) > try(system("convert tmp/53ns01384334073.ps tmp/53ns01384334073.png",intern=TRUE)) character(0) > try(system("convert tmp/6z3ge1384334073.ps tmp/6z3ge1384334073.png",intern=TRUE)) character(0) > try(system("convert tmp/77m3p1384334073.ps tmp/77m3p1384334073.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.871 0.784 4.635