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Type 'q()' to quit R. > x <- c(0.9383,0.9217,0.9095,0.8920,0.8742,0.8607,0.8607,0.9005,0.9111,0.9059,0.8883,0.8924,0.8833,0.8700,0.8758,0.8858,0.9170,0.9554,0.9922,0.9778,0.9808,0.9811,1.0014,1.0183,1.0622,1.0773,1.0807,1.0848,1.1582,1.1663,1.1372,1.1139,1.1222,1.1692,1.1702,1.2286,1.2613,1.2646,1.2262,1.1985,1.2007,1.2138,1.2266,1.2176,1.2218,1.2490,1.2991,1.3408,1.3119,1.3014,1.3201,1.2938,1.2694,1.2165,1.2037,1.2292,1.2256,1.2015,1.1786,1.1856,1.2103,1.1938,1.2020,1.2271,1.2770,1.2650,1.2684,1.2811,1.2727,1.2611,1.2881,1.3213,1.2999,1.3074,1.3242,1.3516,1.3511,1.3419,1.3716,1.3622,1.3896,1.4227,1.4684,1.4570,1.4718,1.4748,1.5527,1.5751,1.5557,1.5553,1.5770,1.4975,1.4370,1.3322,1.2732,1.3449,1.3239,1.2785,1.3050,1.3190,1.3650,1.4016,1.4088,1.4268,1.4562,1.4816,1.4914,1.4614) > 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] 108 > (np <- floor(n / par1)) [1] 9 > 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] 9 9 9 9 9 9 9 9 9 9 9 9 > arr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] 0.9383 0.8833 1.0622 1.2613 1.3119 1.2103 1.2999 1.4718 1.3239 NA [2,] 0.9217 0.8700 1.0773 1.2646 1.3014 1.1938 1.3074 1.4748 1.2785 NA [3,] 0.9095 0.8758 1.0807 1.2262 1.3201 1.2020 1.3242 1.5527 1.3050 NA [4,] 0.8920 0.8858 1.0848 1.1985 1.2938 1.2271 1.3516 1.5751 1.3190 NA [5,] 0.8742 0.9170 1.1582 1.2007 1.2694 1.2770 1.3511 1.5557 1.3650 NA [6,] 0.8607 0.9554 1.1663 1.2138 1.2165 1.2650 1.3419 1.5553 1.4016 NA [7,] 0.8607 0.9922 1.1372 1.2266 1.2037 1.2684 1.3716 1.5770 1.4088 NA [8,] 0.9005 0.9778 1.1139 1.2176 1.2292 1.2811 1.3622 1.4975 1.4268 NA [9,] 0.9111 0.9808 1.1222 1.2218 1.2256 1.2727 1.3896 1.4370 1.4562 NA [10,] 0.9059 0.9811 1.1692 1.2490 1.2015 1.2611 1.4227 1.3322 1.4816 NA [11,] 0.8883 1.0014 1.1702 1.2991 1.1786 1.2881 1.4684 1.2732 1.4914 NA [12,] 0.8924 1.0183 1.2286 1.3408 1.1856 1.3213 1.4570 1.3449 1.4614 NA > darr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [1,] -0.0166 -0.0133 0.0151 0.0033 -0.0105 -0.0165 0.0075 0.0030 -0.0454 [2,] -0.0122 0.0058 0.0034 -0.0384 0.0187 0.0082 0.0168 0.0779 0.0265 [3,] -0.0175 0.0100 0.0041 -0.0277 -0.0263 0.0251 0.0274 0.0224 0.0140 [4,] -0.0178 0.0312 0.0734 0.0022 -0.0244 0.0499 -0.0005 -0.0194 0.0460 [5,] -0.0135 0.0384 0.0081 0.0131 -0.0529 -0.0120 -0.0092 -0.0004 0.0366 [6,] 0.0000 0.0368 -0.0291 0.0128 -0.0128 0.0034 0.0297 0.0217 0.0072 [7,] 0.0398 -0.0144 -0.0233 -0.0090 0.0255 0.0127 -0.0094 -0.0795 0.0180 [8,] 0.0106 0.0030 0.0083 0.0042 -0.0036 -0.0084 0.0274 -0.0605 0.0294 [9,] -0.0052 0.0003 0.0470 0.0272 -0.0241 -0.0116 0.0331 -0.1048 0.0254 [10,] -0.0176 0.0203 0.0010 0.0501 -0.0229 0.0270 0.0457 -0.0590 0.0098 [11,] 0.0041 0.0169 0.0584 0.0417 0.0070 0.0332 -0.0114 0.0717 -0.0300 [12,] -0.0091 0.0439 0.0327 -0.0289 0.0247 -0.0214 0.0148 -0.0210 NA [,10] [1,] NA [2,] NA [3,] NA [4,] NA [5,] NA [6,] NA [7,] NA [8,] NA [9,] NA [10,] NA [11,] NA [12,] 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/1i9rv1275831327.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/2biqg1275831327.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/3biqg1275831327.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/4biqg1275831327.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] [1,] 0.8833 0.8700 0.8758 0.8858 0.8742 0.9554 0.8607 0.9005 0.9111 0.9811 [2,] 1.0622 1.0773 1.0807 1.0848 1.1582 1.1663 1.1372 1.1139 1.1222 1.1692 [3,] 1.2613 1.2646 1.2262 1.2271 1.2694 1.2165 1.2266 1.2292 1.2256 1.2490 [4,] 1.3119 1.3014 1.3201 1.3190 1.3511 1.3419 1.3716 1.3622 1.3896 1.3322 [5,] 1.4718 1.4748 1.5527 1.5751 1.5557 1.5553 1.5770 1.4975 1.4562 1.4816 [,11] [,12] [1,] 1.0014 1.0183 [2,] 1.1702 1.1856 [3,] 1.2732 1.3213 [4,] 1.2991 1.3449 [5,] 1.4914 1.4614 $n [1] 9 9 9 9 9 9 9 9 9 9 9 9 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 1.129791 1.146574 1.100116 1.103755 1.167806 1.124017 1.103149 1.098429 [2,] 1.392809 1.382626 1.352284 1.350445 1.370994 1.308983 1.350051 1.359971 [,9] [,10] [,11] [,12] [1,] 1.084769 1.163153 1.205313 1.237402 [2,] 1.366431 1.334847 1.341087 1.405198 $out [1] 0.8607 0.9059 0.8883 0.8924 $group [1] 6 10 11 12 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(0.8833, 1.0622, 1.2613, 1.3119, 1.4718, 0.87, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/5lrpj1275831327.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] [1,] -0.0454 -0.0122 -0.0277 -0.0244 -0.0135 -0.0291 -0.0233 -0.0084 -0.0241 [2,] -0.0165 0.0034 -0.0175 -0.0178 -0.0120 0.0000 -0.0144 -0.0036 -0.0116 [3,] -0.0105 0.0082 0.0100 0.0022 -0.0004 0.0072 -0.0090 0.0042 0.0003 [4,] 0.0033 0.0187 0.0224 0.0460 0.0131 0.0217 0.0180 0.0106 0.0272 [5,] 0.0151 0.0265 0.0274 0.0734 0.0384 0.0368 0.0398 0.0294 0.0470 [,10] [,11] [,12] [1,] -0.0590 -0.0300 -0.02890 [2,] -0.0176 0.0041 -0.02120 [3,] 0.0098 0.0169 0.00285 [4,] 0.0270 0.0417 0.02870 [5,] 0.0501 0.0717 0.04390 $n [1] 9 9 9 9 9 9 9 9 9 9 9 8 $conf [,1] [,2] [,3] [,4] [,5] [,6] [1,] -0.020928 0.000142 -0.011014 -0.03140133 -0.01361933 -0.004228667 [2,] -0.000072 0.016258 0.031014 0.03580133 0.01281933 0.018628667 [,7] [,8] [,9] [,10] [,11] [,12] [1,] -0.026064 -0.003278667 -0.02013467 -0.01368933 -0.002902667 -0.02502486 [2,] 0.008064 0.011678667 0.02073467 0.03328933 0.036702667 0.03072486 $out [1] -0.0384 0.0779 -0.0529 -0.0795 -0.0605 -0.1048 $group [1] 2 2 5 7 8 9 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(-0.0454000000000001, -0.0165000000000000, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/6lrpj1275831327.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] [,7] [,8] [,9] [1,] 0.86070 0.87000 1.06220 1.19850 1.1786 1.19380 1.29990 1.27320 1.27850 [2,] 0.88125 0.88455 1.08275 1.21570 1.2026 1.21870 1.33305 1.39095 1.32145 [3,] 0.89645 0.96660 1.12970 1.22640 1.2274 1.26670 1.35690 1.48615 1.40520 [4,] 0.91030 0.98665 1.16775 1.26295 1.2976 1.27905 1.40615 1.55550 1.45880 [5,] 0.93830 1.01830 1.22860 1.29910 1.3201 1.32130 1.46840 1.57700 1.49140 [,10] [1,] NA [2,] NA [3,] NA [4,] NA [5,] NA $n [1] 12 12 12 12 12 12 12 12 12 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 0.8832001 0.9200315 1.090931 1.204849 1.184070 1.239174 1.323559 1.411098 [2,] 0.9096999 1.0131685 1.168469 1.247951 1.270730 1.294226 1.390241 1.561202 [,9] [,10] [1,] 1.342554 NA [2,] 1.467846 NA $out [1] 1.3408 $group [1] 4 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" NA Warning message: In bxp(list(stats = c(0.8607, 0.88125, 0.89645, 0.9103, 0.9383, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/7lrpj1275831327.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,] 1.187722 1.2165 1.187050 [2,] 1.201328 1.2264 1.201150 [3,] 1.221156 1.2391 1.244375 [4,] 1.225733 1.2670 1.254525 [5,] 1.250033 1.3213 1.265250 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] 1.210024 1.220582 1.220030 [2,] 1.232287 1.257618 1.268720 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" Warning message: In bxp(list(stats = c(1.18772222222222, 1.20132777777778, 1.22115555555556, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > try(system("convert tmp/1i9rv1275831327.ps tmp/1i9rv1275831327.png",intern=TRUE)) character(0) > try(system("convert tmp/2biqg1275831327.ps tmp/2biqg1275831327.png",intern=TRUE)) character(0) > try(system("convert tmp/3biqg1275831327.ps tmp/3biqg1275831327.png",intern=TRUE)) character(0) > try(system("convert tmp/4biqg1275831327.ps tmp/4biqg1275831327.png",intern=TRUE)) character(0) > try(system("convert tmp/5lrpj1275831327.ps tmp/5lrpj1275831327.png",intern=TRUE)) character(0) > try(system("convert tmp/6lrpj1275831327.ps tmp/6lrpj1275831327.png",intern=TRUE)) character(0) > try(system("convert tmp/7lrpj1275831327.ps tmp/7lrpj1275831327.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.450 1.230 1.615