R version 3.0.2 (2013-09-25) -- "Frisbee Sailing" Copyright (C) 2013 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit) 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(25.7300 + ,26.2400 + ,25.5150 + ,26.4400 + ,27.0800 + ,26.8000 + ,26.2850 + ,25.4600 + ,24.6500 + ,23.7050 + ,21.6500 + ,20.7500 + ,23.6300 + ,21.8650 + ,22.1050 + ,22.8900 + ,22.1000 + ,23.2300 + ,23.0150 + ,22.6900 + ,21.5300 + ,20.8050 + ,20.5050 + ,22.6250 + ,21.9250 + ,22.3300 + ,22.0300 + ,22.7250 + ,23.0150 + ,22.3650 + ,22.2450 + ,23.1250 + ,22.9500 + ,22.2200 + ,21.9150 + ,23.1400 + ,22.5100 + ,21.9850 + ,21.7450 + ,21.1350 + ,20.5350 + ,22.0000 + ,22.6150 + ,22.5350 + ,22.6900 + ,23.4350 + ,22.1650 + ,21.9650 + ,23.0700 + ,22.3750 + ,22.9900 + ,22.9900 + ,22.4150 + ,22.6550 + ,22.1100 + ,22.2850 + ,22.4850 + ,23.2300 + ,22.7400 + ,22.5900 + ,22.2150 + ,22.3300 + ,21.9850 + ,22.0500 + ,22.2900 + ,22.2050 + ,22.4650 + ,22.6350 + ,22.9500 + ,22.7200 + ,22.3550 + ,22.4650 + ,22.6200 + ,22.3000 + ,21.8650 + ,22.0100 + ,21.3100 + ,21.6800 + ,21.9200 + ,21.4400 + ,21.6450 + ,21.5600 + ,21.1000 + ,21.5150 + ,21.6650 + ,21.9300 + ,21.7750 + ,21.3600 + 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,37.7700 + ,37.8700 + ,38.0700 + ,38.2000 + ,38.1200 + ,38.3100 + ,38.3500 + ,38.4700 + ,38.5500 + ,38.6500 + ,38.8000 + ,38.4700 + ,37.9700 + ,38.1700 + ,38.2700 + ,38.4000 + ,38.1400 + ,38.4500 + ,38.4400 + ,38.4000 + ,38.6200 + ,38.6100 + ,38.8200 + ,38.9500 + ,38.6600 + ,38.4100 + ,38.3300 + ,38.0700 + ,38.2200 + ,38.6200 + ,38.9000 + ,38.9900 + ,38.8900 + ,38.6300 + ,38.7300 + ,40.1800 + ,40.5900 + ,40.7200 + ,40.7500 + ,40.7100 + ,40.7300 + ,40.7000 + ,41.0100 + ,41.0300 + ,40.5700 + ,40.7900 + ,40.7800 + ,40.9500 + ,40.7600 + ,40.4900 + ,40.9100 + ,40.7300 + ,40.8700 + ,40.8200 + ,41.1100 + ,40.8900 + ,40.5200 + ,40.8900 + ,40.7100 + ,40.5800 + ,40.8700 + ,40.5800 + ,40.5800 + ,40.7700 + ,40.5800 + ,40.6600 + ,40.9100 + ,40.8600 + ,40.8800 + ,40.7900 + ,40.8900 + ,40.9900 + ,40.9100 + ,41.0700 + ,40.8600 + ,40.4200 + ,40.3700 + ,40.6600 + ,40.9200 + ,41.5600 + ,41.7900 + ,41.6900 + ,41.7300 + ,41.8500 + ,41.9600 + ,42.0300 + ,42.1900 + ,42.3600 + ,42.2900 + ,42.2900 + ,42.2300 + ,42.1400 + ,41.9400 + ,41.9500 + ,42.2600 + ,41.9700 + ,42.3800 + ,42.1000 + ,42.1200 + ,42.0200 + ,42.4300 + ,42.4000 + ,41.1900 + ,40.8100 + ,40.9700 + ,41.0000 + ,40.6800 + ,40.3500 + ,39.6200 + ,39.2900 + ,39.2900 + ,39.4000 + ,39.1800 + ,39.9200 + ,39.3500 + ,39.4500 + ,39.5700 + ,39.6800 + ,39.9400 + ,40.1800 + ,40.8800 + ,41.3500 + ,41.2600 + ,41.2500 + ,41.4100 + ,41.1200 + ,41.4100 + ,41.6000 + ,41.6000 + ,41.6300 + ,41.7200 + ,41.6400 + ,41.7800 + ,41.8700 + ,41.8400 + ,41.7800 + ,41.9400 + ,42.1700 + ,41.9500 + ,41.4600 + ,41.5000 + ,41.6400 + ,41.6100 + ,41.7900 + ,42.0500 + ,42.2200 + ,41.8900 + ,42.2700 + ,41.7800) > par1 = '52' > par1 <- '52' > #'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] 1511 > (np <- floor(n / par1)) [1] 29 > 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] 30 30 30 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 [26] 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 [51] 29 29 > arr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] 25.730 22.415 21.185 21.375 24.680 27.405 28.590 27.090 25.795 28.1850 [2,] 26.240 22.655 20.535 22.200 24.760 27.295 28.635 27.100 25.730 28.3750 [3,] 25.515 22.110 20.425 21.815 24.695 27.325 28.645 26.800 25.310 28.5550 [4,] 26.440 22.285 19.845 22.450 24.640 27.395 28.720 26.675 25.040 28.4900 [5,] 27.080 22.485 19.415 22.480 24.835 27.400 28.720 26.825 25.615 28.0200 [6,] 26.800 23.230 19.865 23.035 24.920 27.420 28.870 26.850 25.700 27.8450 [7,] 26.285 22.740 18.925 23.320 24.800 27.460 28.840 26.920 25.645 27.8650 [8,] 25.460 22.590 19.550 23.500 24.750 27.505 28.500 26.975 26.205 27.9400 [9,] 24.650 22.215 19.375 23.340 24.585 27.395 28.520 27.375 26.375 28.0600 [10,] 23.705 22.330 19.580 23.650 24.695 27.035 28.175 27.270 25.635 27.9200 [11,] 21.650 21.985 19.785 23.605 24.670 27.035 28.165 27.650 25.400 27.6400 [12,] 20.750 22.050 20.420 23.315 24.720 27.075 28.095 27.310 25.780 27.6500 [13,] 23.630 22.290 20.610 23.450 24.520 26.620 27.575 27.400 25.675 27.8000 [14,] 21.865 22.205 20.635 24.580 24.230 26.615 28.135 27.325 26.225 27.8300 [15,] 22.105 22.465 20.725 24.510 24.060 26.730 28.440 27.385 25.825 27.6950 [16,] 22.890 22.635 20.825 24.830 24.235 26.755 28.515 27.435 25.755 27.5800 [17,] 22.100 22.950 21.090 24.545 24.350 27.045 28.565 27.500 26.090 28.0800 [18,] 23.230 22.720 21.320 24.880 24.305 26.655 28.145 27.650 26.200 27.7750 [19,] 23.015 22.355 22.070 24.720 24.680 26.860 28.210 27.430 26.180 27.9413 [20,] 22.690 22.465 22.010 24.690 24.710 26.560 27.750 27.145 26.155 28.6550 [21,] 21.530 22.620 22.375 24.545 24.955 26.745 27.185 26.910 26.240 28.6900 [22,] 20.805 22.300 22.425 24.205 24.530 27.200 27.120 26.880 26.230 28.7800 [23,] 20.505 21.865 22.550 24.290 24.370 27.245 27.175 27.295 26.120 28.8150 [24,] 22.625 22.010 21.960 24.445 24.590 27.740 27.070 27.380 25.900 28.9150 [25,] 21.925 21.310 21.975 24.055 24.720 27.905 27.255 27.510 25.130 29.1450 [26,] 22.330 21.680 22.430 23.915 24.530 28.065 27.090 27.475 25.540 29.2600 [27,] 22.030 21.920 22.670 23.965 24.385 27.970 27.125 27.130 25.165 29.0150 [28,] 22.725 21.440 22.485 24.775 24.265 28.230 27.190 27.485 25.060 28.7950 [29,] 23.015 21.645 22.495 24.405 24.900 28.370 27.525 27.660 25.015 28.7100 [30,] 22.365 21.560 22.310 23.995 24.790 28.435 27.435 27.235 25.025 28.7550 [31,] 22.245 21.100 22.495 23.900 24.975 28.290 26.715 27.095 25.215 28.7800 [32,] 23.125 21.515 22.495 23.750 25.205 28.440 26.545 27.155 25.735 28.9850 [33,] 22.950 21.665 22.365 23.925 25.315 28.740 26.325 26.940 26.210 29.0550 [34,] 22.220 21.930 22.105 24.065 25.290 29.120 27.005 26.865 26.200 29.1150 [35,] 21.915 21.775 22.515 24.145 25.755 29.095 26.895 26.435 26.225 28.9350 [36,] 23.140 21.360 22.550 23.995 26.080 29.055 27.110 26.680 26.360 29.3100 [37,] 22.510 21.120 22.510 24.590 26.225 28.590 26.990 26.870 26.410 29.3000 [38,] 21.985 21.660 22.165 24.440 26.335 28.600 27.410 26.725 26.425 29.5500 [39,] 21.745 21.200 21.545 24.500 26.710 29.040 27.665 26.880 26.185 29.3800 [40,] 21.135 21.345 21.465 24.320 26.880 28.980 27.955 26.590 26.135 29.2600 [41,] 20.535 21.775 21.460 24.255 26.500 28.635 27.860 26.830 26.620 29.5600 [42,] 22.000 21.155 21.395 24.355 26.425 28.745 27.690 26.150 27.040 29.4400 [43,] 22.615 20.335 21.120 24.155 26.290 28.935 27.415 26.335 27.130 29.8300 [44,] 22.535 20.635 21.140 24.525 26.170 28.840 27.580 27.020 27.375 29.9000 [45,] 22.690 22.195 21.355 24.645 26.485 28.915 26.560 26.805 27.470 29.7200 [46,] 23.435 21.925 21.525 25.265 26.565 29.290 26.360 27.010 27.525 29.7050 [47,] 22.165 21.300 21.235 25.395 26.655 29.555 26.635 26.745 27.440 29.7800 [48,] 21.965 21.340 21.585 25.160 26.850 29.520 26.650 26.670 27.495 29.8000 [49,] 23.070 21.650 21.570 25.515 26.560 29.530 26.965 26.705 27.555 29.9700 [50,] 22.375 21.420 21.470 25.175 26.935 29.210 27.235 26.550 28.205 29.9550 [51,] 22.990 21.045 21.400 24.565 26.900 28.490 27.350 26.560 28.190 29.9700 [52,] 22.990 21.530 21.460 24.590 27.160 28.460 27.230 25.770 28.275 30.0000 [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [1,] 30.170 32.610 31.350 33.020 34.085 34.465 33.495 36.905 37.345 38.17 [2,] 30.575 31.935 31.785 32.765 34.640 34.160 33.675 37.005 37.870 38.00 [3,] 30.735 31.745 31.755 32.710 33.880 33.520 33.795 37.070 38.045 37.46 [4,] 30.805 31.515 32.135 32.600 33.550 33.885 33.725 36.880 37.990 37.14 [5,] 30.505 31.460 32.345 32.700 33.635 34.325 34.045 36.730 37.870 37.40 [6,] 30.620 31.530 32.610 32.945 34.530 33.890 34.265 36.735 37.780 37.28 [7,] 30.595 31.345 32.515 32.695 34.840 34.105 33.950 36.435 37.335 37.51 [8,] 30.605 31.520 32.860 32.560 33.985 34.325 34.215 36.010 37.470 38.15 [9,] 30.660 31.700 33.020 32.805 34.250 33.515 34.005 36.060 37.385 37.90 [10,] 30.855 31.565 33.170 32.485 34.865 33.695 33.720 36.110 37.540 37.66 [11,] 30.930 31.740 33.610 32.745 34.930 34.060 33.730 35.970 38.170 37.77 [12,] 30.975 31.710 33.830 32.810 35.225 33.895 33.765 36.220 38.285 37.55 [13,] 31.225 31.465 33.735 32.915 35.225 34.000 33.925 36.975 39.095 38.35 [14,] 31.290 31.385 33.815 33.130 34.870 33.505 33.915 37.085 39.460 38.12 [15,] 31.230 31.625 33.720 33.200 34.715 33.310 34.040 36.910 39.580 38.35 [16,] 31.320 31.480 33.635 32.490 35.400 33.695 34.015 37.065 39.225 38.62 [17,] 31.275 31.480 33.700 32.465 35.585 32.975 34.275 36.845 39.075 38.52 [18,] 31.400 31.350 33.450 32.605 34.685 32.985 34.165 37.060 38.990 38.64 [19,] 31.460 31.105 33.640 33.015 34.690 32.435 33.985 37.465 38.990 38.03 [20,] 31.480 31.425 34.155 33.355 34.550 32.370 33.970 37.855 38.730 38.12 [21,] 31.040 31.525 34.005 33.645 34.885 32.585 34.220 38.315 38.320 37.68 [22,] 31.260 31.430 33.655 34.045 35.510 33.095 34.450 38.160 38.640 37.76 [23,] 31.920 31.285 33.545 34.150 35.615 33.615 34.200 38.465 38.240 38.31 [24,] 32.160 31.280 33.925 34.265 35.245 33.415 34.430 38.580 38.845 37.93 [25,] 32.135 31.260 33.940 34.375 35.325 33.190 34.525 38.720 38.720 38.38 [26,] 31.810 31.435 33.870 34.340 34.640 33.155 34.410 38.500 38.775 38.34 [27,] 32.305 31.575 33.465 34.050 33.910 33.340 34.625 38.640 38.515 38.24 [28,] 32.055 31.770 33.500 33.925 33.710 33.390 34.590 38.570 38.440 38.33 [29,] 31.695 31.785 33.705 34.030 34.380 33.365 34.500 38.390 38.330 38.58 [30,] 31.585 31.570 33.730 33.835 34.785 33.785 34.415 38.705 38.510 38.58 [31,] 32.350 31.595 33.860 33.765 34.030 33.445 34.425 38.735 39.425 38.56 [32,] 32.450 31.700 33.940 33.560 34.525 33.240 34.930 38.435 40.005 38.09 [33,] 32.250 32.275 33.730 34.660 33.780 33.130 34.800 38.285 40.560 38.11 [34,] 31.995 32.275 33.350 34.435 32.710 33.445 34.590 38.165 40.400 38.23 [35,] 32.070 31.880 33.450 34.670 32.615 33.720 34.615 37.560 40.505 38.13 [36,] 32.195 31.955 33.475 34.865 32.765 33.685 34.380 37.025 39.875 37.90 [37,] 32.415 31.940 33.670 34.630 32.695 34.200 34.395 37.255 40.415 37.74 [38,] 32.325 32.155 33.660 34.595 32.950 34.785 34.635 37.095 40.320 37.84 [39,] 32.425 31.960 34.155 34.345 33.450 34.595 34.755 37.275 39.885 37.40 [40,] 31.950 32.455 34.090 34.405 33.400 34.970 35.075 37.780 39.780 37.23 [41,] 32.370 32.215 33.915 34.005 33.740 34.940 35.125 37.615 39.620 36.61 [42,] 32.670 32.785 33.995 33.865 33.700 34.755 35.110 37.730 39.395 36.88 [43,] 32.850 32.605 34.150 33.535 33.925 35.080 35.165 37.530 39.300 37.09 [44,] 32.655 32.610 34.230 34.200 33.500 34.985 35.080 37.365 39.380 37.04 [45,] 32.745 32.820 34.150 32.910 33.370 35.070 35.200 36.545 39.350 37.18 [46,] 32.795 32.810 33.745 33.385 33.515 34.850 35.295 36.820 39.550 37.33 [47,] 32.790 32.645 33.735 32.560 33.560 34.685 35.560 36.620 39.530 37.08 [48,] 32.535 32.405 33.455 33.340 34.095 34.465 35.710 37.305 39.470 36.77 [49,] 32.680 31.970 33.350 31.980 33.935 34.465 35.745 37.140 39.260 37.42 [50,] 32.725 31.515 33.255 33.235 33.475 34.670 35.950 37.620 38.770 36.72 [51,] 32.750 30.800 33.405 33.570 33.735 34.030 35.935 37.330 38.110 36.36 [52,] 32.885 31.140 33.380 34.100 34.285 33.785 36.330 37.600 38.470 36.29 [,21] [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [1,] 36.08 37.42 40.09 40.26 38.78 40.43 38.57 41.01 42.26 41.89 [2,] 36.16 37.50 42.37 40.11 38.44 40.37 38.64 41.03 41.97 42.27 [3,] 36.01 37.24 42.55 40.46 38.69 40.25 38.51 40.57 42.38 41.78 [4,] 36.43 37.54 42.10 40.37 38.86 40.19 38.65 40.79 42.10 NA [5,] 36.56 37.35 42.66 40.49 38.79 40.19 38.93 40.78 42.12 NA [6,] 37.24 38.14 42.72 40.52 39.59 40.08 37.47 40.95 42.02 NA [7,] 37.25 38.31 42.70 40.54 39.31 40.35 37.10 40.76 42.43 NA [8,] 37.39 38.91 42.15 40.83 39.40 40.37 37.30 40.49 42.40 NA [9,] 37.93 38.77 42.35 40.68 38.63 39.83 37.18 40.91 41.19 NA [10,] 37.36 38.61 42.10 41.03 38.53 40.46 37.50 40.73 40.81 NA [11,] 37.42 37.56 42.24 41.03 38.33 40.40 37.77 40.87 40.97 NA [12,] 37.56 37.21 42.33 41.01 38.74 39.85 37.87 40.82 41.00 NA [13,] 37.97 36.84 42.21 40.23 38.40 40.13 38.07 41.11 40.68 NA [14,] 37.92 37.42 41.96 40.84 37.88 39.21 38.20 40.89 40.35 NA [15,] 37.38 37.67 42.24 40.81 37.95 39.23 38.12 40.52 39.62 NA [16,] 37.15 37.73 42.08 41.09 37.43 39.27 38.31 40.89 39.29 NA [17,] 37.31 37.71 42.70 40.84 37.16 39.10 38.35 40.71 39.29 NA [18,] 37.38 38.52 42.46 40.96 37.20 40.02 38.47 40.58 39.40 NA [19,] 37.71 37.72 42.12 40.86 37.05 39.86 38.55 40.87 39.18 NA [20,] 37.64 38.11 42.15 40.84 37.28 40.04 38.65 40.58 39.92 NA [21,] 37.86 38.45 42.19 40.64 37.08 40.16 38.80 40.58 39.35 NA [22,] 37.64 38.72 42.52 40.28 37.78 40.19 38.47 40.77 39.45 NA [23,] 37.60 38.70 42.92 40.32 37.77 40.49 37.97 40.58 39.57 NA [24,] 37.66 38.82 43.09 40.08 37.91 40.66 38.17 40.66 39.68 NA [25,] 37.50 38.68 42.97 40.57 37.66 41.09 38.27 40.91 39.94 NA [26,] 37.28 39.02 42.38 40.22 38.00 41.31 38.40 40.86 40.18 NA [27,] 36.78 39.12 42.34 40.29 38.55 40.66 38.14 40.88 40.88 NA [28,] 37.05 39.22 42.25 40.37 38.78 40.46 38.45 40.79 41.35 NA [29,] 36.89 39.31 41.93 40.15 38.82 40.27 38.44 40.89 41.26 NA [30,] 36.73 38.96 42.24 40.20 39.09 40.39 38.40 40.99 41.25 NA [31,] 36.42 38.59 42.55 40.16 39.09 39.94 38.62 40.91 41.41 NA [32,] 36.42 39.02 41.40 39.83 38.80 39.73 38.61 41.07 41.12 NA [33,] 35.97 38.83 40.77 39.65 39.03 40.13 38.82 40.86 41.41 NA [34,] 36.25 38.76 39.99 39.53 39.61 39.53 38.95 40.42 41.60 NA [35,] 37.60 39.33 40.81 39.09 39.80 39.69 38.66 40.37 41.60 NA [36,] 37.60 39.87 41.42 39.05 39.62 39.76 38.41 40.66 41.63 NA [37,] 37.66 40.07 40.65 38.78 39.57 39.71 38.33 40.92 41.72 NA [38,] 37.30 40.04 40.79 38.65 39.61 39.28 38.07 41.56 41.64 NA [39,] 37.04 40.12 41.41 38.28 39.51 39.92 38.22 41.79 41.78 NA [40,] 37.03 40.69 41.18 38.31 39.50 39.90 38.62 41.69 41.87 NA [41,] 36.96 40.22 40.79 38.52 40.05 39.24 38.90 41.73 41.84 NA [42,] 36.91 40.44 40.39 38.12 39.83 38.84 38.99 41.85 41.78 NA [43,] 36.99 40.45 40.41 38.15 40.05 38.73 38.89 41.96 41.94 NA [44,] 37.32 40.72 40.34 38.35 39.87 38.87 38.63 42.03 42.17 NA [45,] 37.32 40.17 40.68 38.10 39.88 37.90 38.73 42.19 41.95 NA [46,] 37.51 40.54 40.93 38.18 40.12 38.17 40.18 42.36 41.46 NA [47,] 37.70 40.08 40.41 37.90 40.21 37.82 40.59 42.29 41.50 NA [48,] 37.13 40.86 39.13 38.54 40.22 37.20 40.72 42.29 41.64 NA [49,] 37.13 40.71 39.76 38.24 40.17 37.48 40.75 42.23 41.61 NA [50,] 37.11 41.07 39.53 38.35 40.14 37.61 40.71 42.14 41.79 NA [51,] 37.05 41.18 39.72 38.52 40.06 38.03 40.73 41.94 42.05 NA [52,] 37.01 41.08 40.33 38.63 40.43 37.95 40.70 41.95 42.22 NA > darr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] 0.510 0.240 -0.650 0.825 0.080 -0.110 0.045 0.010 -0.065 0.1900 [2,] -0.725 -0.545 -0.110 -0.385 -0.065 0.030 0.010 -0.300 -0.420 0.1800 [3,] 0.925 0.175 -0.580 0.635 -0.055 0.070 0.075 -0.125 -0.270 -0.0650 [4,] 0.640 0.200 -0.430 0.030 0.195 0.005 0.000 0.150 0.575 -0.4700 [5,] -0.280 0.745 0.450 0.555 0.085 0.020 0.150 0.025 0.085 -0.1750 [6,] -0.515 -0.490 -0.940 0.285 -0.120 0.040 -0.030 0.070 -0.055 0.0200 [7,] -0.825 -0.150 0.625 0.180 -0.050 0.045 -0.340 0.055 0.560 0.0750 [8,] -0.810 -0.375 -0.175 -0.160 -0.165 -0.110 0.020 0.400 0.170 0.1200 [9,] -0.945 0.115 0.205 0.310 0.110 -0.360 -0.345 -0.105 -0.740 -0.1400 [10,] -2.055 -0.345 0.205 -0.045 -0.025 0.000 -0.010 0.380 -0.235 -0.2800 [11,] -0.900 0.065 0.635 -0.290 0.050 0.040 -0.070 -0.340 0.380 0.0100 [12,] 2.880 0.240 0.190 0.135 -0.200 -0.455 -0.520 0.090 -0.105 0.1500 [13,] -1.765 -0.085 0.025 1.130 -0.290 -0.005 0.560 -0.075 0.550 0.0300 [14,] 0.240 0.260 0.090 -0.070 -0.170 0.115 0.305 0.060 -0.400 -0.1350 [15,] 0.785 0.170 0.100 0.320 0.175 0.025 0.075 0.050 -0.070 -0.1150 [16,] -0.790 0.315 0.265 -0.285 0.115 0.290 0.050 0.065 0.335 0.5000 [17,] 1.130 -0.230 0.230 0.335 -0.045 -0.390 -0.420 0.150 0.110 -0.3050 [18,] -0.215 -0.365 0.750 -0.160 0.375 0.205 0.065 -0.220 -0.020 0.1663 [19,] -0.325 0.110 -0.060 -0.030 0.030 -0.300 -0.460 -0.285 -0.025 0.7137 [20,] -1.160 0.155 0.365 -0.145 0.245 0.185 -0.565 -0.235 0.085 0.0350 [21,] -0.725 -0.320 0.050 -0.340 -0.425 0.455 -0.065 -0.030 -0.010 0.0900 [22,] -0.300 -0.435 0.125 0.085 -0.160 0.045 0.055 0.415 -0.110 0.0350 [23,] 2.120 0.145 -0.590 0.155 0.220 0.495 -0.105 0.085 -0.220 0.1000 [24,] -0.700 -0.700 0.015 -0.390 0.130 0.165 0.185 0.130 -0.770 0.2300 [25,] 0.405 0.370 0.455 -0.140 -0.190 0.160 -0.165 -0.035 0.410 0.1150 [26,] -0.300 0.240 0.240 0.050 -0.145 -0.095 0.035 -0.345 -0.375 -0.2450 [27,] 0.695 -0.480 -0.185 0.810 -0.120 0.260 0.065 0.355 -0.105 -0.2200 [28,] 0.290 0.205 0.010 -0.370 0.635 0.140 0.335 0.175 -0.045 -0.0850 [29,] -0.650 -0.085 -0.185 -0.410 -0.110 0.065 -0.090 -0.425 0.010 0.0450 [30,] -0.120 -0.460 0.185 -0.095 0.185 -0.145 -0.720 -0.140 0.190 0.0250 [31,] 0.880 0.415 0.000 -0.150 0.230 0.150 -0.170 0.060 0.520 0.2050 [32,] -0.175 0.150 -0.130 0.175 0.110 0.300 -0.220 -0.215 0.475 0.0700 [33,] -0.730 0.265 -0.260 0.140 -0.025 0.380 0.680 -0.075 -0.010 0.0600 [34,] -0.305 -0.155 0.410 0.080 0.465 -0.025 -0.110 -0.430 0.025 -0.1800 [35,] 1.225 -0.415 0.035 -0.150 0.325 -0.040 0.215 0.245 0.135 0.3750 [36,] -0.630 -0.240 -0.040 0.595 0.145 -0.465 -0.120 0.190 0.050 -0.0100 [37,] -0.525 0.540 -0.345 -0.150 0.110 0.010 0.420 -0.145 0.015 0.2500 [38,] -0.240 -0.460 -0.620 0.060 0.375 0.440 0.255 0.155 -0.240 -0.1700 [39,] -0.610 0.145 -0.080 -0.180 0.170 -0.060 0.290 -0.290 -0.050 -0.1200 [40,] -0.600 0.430 -0.005 -0.065 -0.380 -0.345 -0.095 0.240 0.485 0.3000 [41,] 1.465 -0.620 -0.065 0.100 -0.075 0.110 -0.170 -0.680 0.420 -0.1200 [42,] 0.615 -0.820 -0.275 -0.200 -0.135 0.190 -0.275 0.185 0.090 0.3900 [43,] -0.080 0.300 0.020 0.370 -0.120 -0.095 0.165 0.685 0.245 0.0700 [44,] 0.155 1.560 0.215 0.120 0.315 0.075 -1.020 -0.215 0.095 -0.1800 [45,] 0.745 -0.270 0.170 0.620 0.080 0.375 -0.200 0.205 0.055 -0.0150 [46,] -1.270 -0.625 -0.290 0.130 0.090 0.265 0.275 -0.265 -0.085 0.0750 [47,] -0.200 0.040 0.350 -0.235 0.195 -0.035 0.015 -0.075 0.055 0.0200 [48,] 1.105 0.310 -0.015 0.355 -0.290 0.010 0.315 0.035 0.060 0.1700 [49,] -0.695 -0.230 -0.100 -0.340 0.375 -0.320 0.270 -0.155 0.650 -0.0150 [50,] 0.615 -0.375 -0.070 -0.610 -0.035 -0.720 0.115 0.010 -0.015 0.0150 [51,] 0.000 0.485 0.060 0.025 0.260 -0.030 -0.120 -0.790 0.085 0.0300 [52,] -0.575 -0.345 -0.085 0.090 0.245 0.130 -0.140 0.025 -0.090 0.1700 [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [1,] 0.405 -0.675 0.435 -0.255 0.555 -0.305 0.180 0.100 0.525 -0.17 [2,] 0.160 -0.190 -0.030 -0.055 -0.760 -0.640 0.120 0.065 0.175 -0.54 [3,] 0.070 -0.230 0.380 -0.110 -0.330 0.365 -0.070 -0.190 -0.055 -0.32 [4,] -0.300 -0.055 0.210 0.100 0.085 0.440 0.320 -0.150 -0.120 0.26 [5,] 0.115 0.070 0.265 0.245 0.895 -0.435 0.220 0.005 -0.090 -0.12 [6,] -0.025 -0.185 -0.095 -0.250 0.310 0.215 -0.315 -0.300 -0.445 0.23 [7,] 0.010 0.175 0.345 -0.135 -0.855 0.220 0.265 -0.425 0.135 0.64 [8,] 0.055 0.180 0.160 0.245 0.265 -0.810 -0.210 0.050 -0.085 -0.25 [9,] 0.195 -0.135 0.150 -0.320 0.615 0.180 -0.285 0.050 0.155 -0.24 [10,] 0.075 0.175 0.440 0.260 0.065 0.365 0.010 -0.140 0.630 0.11 [11,] 0.045 -0.030 0.220 0.065 0.295 -0.165 0.035 0.250 0.115 -0.22 [12,] 0.250 -0.245 -0.095 0.105 0.000 0.105 0.160 0.755 0.810 0.80 [13,] 0.065 -0.080 0.080 0.215 -0.355 -0.495 -0.010 0.110 0.365 -0.23 [14,] -0.060 0.240 -0.095 0.070 -0.155 -0.195 0.125 -0.175 0.120 0.23 [15,] 0.090 -0.145 -0.085 -0.710 0.685 0.385 -0.025 0.155 -0.355 0.27 [16,] -0.045 0.000 0.065 -0.025 0.185 -0.720 0.260 -0.220 -0.150 -0.10 [17,] 0.125 -0.130 -0.250 0.140 -0.900 0.010 -0.110 0.215 -0.085 0.12 [18,] 0.060 -0.245 0.190 0.410 0.005 -0.550 -0.180 0.405 0.000 -0.61 [19,] 0.020 0.320 0.515 0.340 -0.140 -0.065 -0.015 0.390 -0.260 0.09 [20,] -0.440 0.100 -0.150 0.290 0.335 0.215 0.250 0.460 -0.410 -0.44 [21,] 0.220 -0.095 -0.350 0.400 0.625 0.510 0.230 -0.155 0.320 0.08 [22,] 0.660 -0.145 -0.110 0.105 0.105 0.520 -0.250 0.305 -0.400 0.55 [23,] 0.240 -0.005 0.380 0.115 -0.370 -0.200 0.230 0.115 0.605 -0.38 [24,] -0.025 -0.020 0.015 0.110 0.080 -0.225 0.095 0.140 -0.125 0.45 [25,] -0.325 0.175 -0.070 -0.035 -0.685 -0.035 -0.115 -0.220 0.055 -0.04 [26,] 0.495 0.140 -0.405 -0.290 -0.730 0.185 0.215 0.140 -0.260 -0.10 [27,] -0.250 0.195 0.035 -0.125 -0.200 0.050 -0.035 -0.070 -0.075 0.09 [28,] -0.360 0.015 0.205 0.105 0.670 -0.025 -0.090 -0.180 -0.110 0.25 [29,] -0.110 -0.215 0.025 -0.195 0.405 0.420 -0.085 0.315 0.180 0.00 [30,] 0.765 0.025 0.130 -0.070 -0.755 -0.340 0.010 0.030 0.915 -0.02 [31,] 0.100 0.105 0.080 -0.205 0.495 -0.205 0.505 -0.300 0.580 -0.47 [32,] -0.200 0.575 -0.210 1.100 -0.745 -0.110 -0.130 -0.150 0.555 0.02 [33,] -0.255 0.000 -0.380 -0.225 -1.070 0.315 -0.210 -0.120 -0.160 0.12 [34,] 0.075 -0.395 0.100 0.235 -0.095 0.275 0.025 -0.605 0.105 -0.10 [35,] 0.125 0.075 0.025 0.195 0.150 -0.035 -0.235 -0.535 -0.630 -0.23 [36,] 0.220 -0.015 0.195 -0.235 -0.070 0.515 0.015 0.230 0.540 -0.16 [37,] -0.090 0.215 -0.010 -0.035 0.255 0.585 0.240 -0.160 -0.095 0.10 [38,] 0.100 -0.195 0.495 -0.250 0.500 -0.190 0.120 0.180 -0.435 -0.44 [39,] -0.475 0.495 -0.065 0.060 -0.050 0.375 0.320 0.505 -0.105 -0.17 [40,] 0.420 -0.240 -0.175 -0.400 0.340 -0.030 0.050 -0.165 -0.160 -0.62 [41,] 0.300 0.570 0.080 -0.140 -0.040 -0.185 -0.015 0.115 -0.225 0.27 [42,] 0.180 -0.180 0.155 -0.330 0.225 0.325 0.055 -0.200 -0.095 0.21 [43,] -0.195 0.005 0.080 0.665 -0.425 -0.095 -0.085 -0.165 0.080 -0.05 [44,] 0.090 0.210 -0.080 -1.290 -0.130 0.085 0.120 -0.820 -0.030 0.14 [45,] 0.050 -0.010 -0.405 0.475 0.145 -0.220 0.095 0.275 0.200 0.15 [46,] -0.005 -0.165 -0.010 -0.825 0.045 -0.165 0.265 -0.200 -0.020 -0.25 [47,] -0.255 -0.240 -0.280 0.780 0.535 -0.220 0.150 0.685 -0.060 -0.31 [48,] 0.145 -0.435 -0.105 -1.360 -0.160 0.000 0.035 -0.165 -0.210 0.65 [49,] 0.045 -0.455 -0.095 1.255 -0.460 0.205 0.205 0.480 -0.490 -0.70 [50,] 0.025 -0.715 0.150 0.335 0.260 -0.640 -0.015 -0.290 -0.660 -0.36 [51,] 0.135 0.340 -0.025 0.530 0.550 -0.245 0.395 0.270 0.360 -0.07 [52,] -0.275 0.210 -0.360 -0.015 0.180 -0.290 0.575 -0.255 -0.300 -0.21 [,21] [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [1,] 0.08 0.08 2.28 -0.15 -0.34 -0.06 0.07 0.02 -0.29 0.38 [2,] -0.15 -0.26 0.18 0.35 0.25 -0.12 -0.13 -0.46 0.41 -0.49 [3,] 0.42 0.30 -0.45 -0.09 0.17 -0.06 0.14 0.22 -0.28 NA [4,] 0.13 -0.19 0.56 0.12 -0.07 0.00 0.28 -0.01 0.02 NA [5,] 0.68 0.79 0.06 0.03 0.80 -0.11 -1.46 0.17 -0.10 NA [6,] 0.01 0.17 -0.02 0.02 -0.28 0.27 -0.37 -0.19 0.41 NA [7,] 0.14 0.60 -0.55 0.29 0.09 0.02 0.20 -0.27 -0.03 NA [8,] 0.54 -0.14 0.20 -0.15 -0.77 -0.54 -0.12 0.42 -1.21 NA [9,] -0.57 -0.16 -0.25 0.35 -0.10 0.63 0.32 -0.18 -0.38 NA [10,] 0.06 -1.05 0.14 0.00 -0.20 -0.06 0.27 0.14 0.16 NA [11,] 0.14 -0.35 0.09 -0.02 0.41 -0.55 0.10 -0.05 0.03 NA [12,] 0.41 -0.37 -0.12 -0.78 -0.34 0.28 0.20 0.29 -0.32 NA [13,] -0.05 0.58 -0.25 0.61 -0.52 -0.92 0.13 -0.22 -0.33 NA [14,] -0.54 0.25 0.28 -0.03 0.07 0.02 -0.08 -0.37 -0.73 NA [15,] -0.23 0.06 -0.16 0.28 -0.52 0.04 0.19 0.37 -0.33 NA [16,] 0.16 -0.02 0.62 -0.25 -0.27 -0.17 0.04 -0.18 0.00 NA [17,] 0.07 0.81 -0.24 0.12 0.04 0.92 0.12 -0.13 0.11 NA [18,] 0.33 -0.80 -0.34 -0.10 -0.15 -0.16 0.08 0.29 -0.22 NA [19,] -0.07 0.39 0.03 -0.02 0.23 0.18 0.10 -0.29 0.74 NA [20,] 0.22 0.34 0.04 -0.20 -0.20 0.12 0.15 0.00 -0.57 NA [21,] -0.22 0.27 0.33 -0.36 0.70 0.03 -0.33 0.19 0.10 NA [22,] -0.04 -0.02 0.40 0.04 -0.01 0.30 -0.50 -0.19 0.12 NA [23,] 0.06 0.12 0.17 -0.24 0.14 0.17 0.20 0.08 0.11 NA [24,] -0.16 -0.14 -0.12 0.49 -0.25 0.43 0.10 0.25 0.26 NA [25,] -0.22 0.34 -0.59 -0.35 0.34 0.22 0.13 -0.05 0.24 NA [26,] -0.50 0.10 -0.04 0.07 0.55 -0.65 -0.26 0.02 0.70 NA [27,] 0.27 0.10 -0.09 0.08 0.23 -0.20 0.31 -0.09 0.47 NA [28,] -0.16 0.09 -0.32 -0.22 0.04 -0.19 -0.01 0.10 -0.09 NA [29,] -0.16 -0.35 0.31 0.05 0.27 0.12 -0.04 0.10 -0.01 NA [30,] -0.31 -0.37 0.31 -0.04 0.00 -0.45 0.22 -0.08 0.16 NA [31,] 0.00 0.43 -1.15 -0.33 -0.29 -0.21 -0.01 0.16 -0.29 NA [32,] -0.45 -0.19 -0.63 -0.18 0.23 0.40 0.21 -0.21 0.29 NA [33,] 0.28 -0.07 -0.78 -0.12 0.58 -0.60 0.13 -0.44 0.19 NA [34,] 1.35 0.57 0.82 -0.44 0.19 0.16 -0.29 -0.05 0.00 NA [35,] 0.00 0.54 0.61 -0.04 -0.18 0.07 -0.25 0.29 0.03 NA [36,] 0.06 0.20 -0.77 -0.27 -0.05 -0.05 -0.08 0.26 0.09 NA [37,] -0.36 -0.03 0.14 -0.13 0.04 -0.43 -0.26 0.64 -0.08 NA [38,] -0.26 0.08 0.62 -0.37 -0.10 0.64 0.15 0.23 0.14 NA [39,] -0.01 0.57 -0.23 0.03 -0.01 -0.02 0.40 -0.10 0.09 NA [40,] -0.07 -0.47 -0.39 0.21 0.55 -0.66 0.28 0.04 -0.03 NA [41,] -0.05 0.22 -0.40 -0.40 -0.22 -0.40 0.09 0.12 -0.06 NA [42,] 0.08 0.01 0.02 0.03 0.22 -0.11 -0.10 0.11 0.16 NA [43,] 0.33 0.27 -0.07 0.20 -0.18 0.14 -0.26 0.07 0.23 NA [44,] 0.00 -0.55 0.34 -0.25 0.01 -0.97 0.10 0.16 -0.22 NA [45,] 0.19 0.37 0.25 0.08 0.24 0.27 1.45 0.17 -0.49 NA [46,] 0.19 -0.46 -0.52 -0.28 0.09 -0.35 0.41 -0.07 0.04 NA [47,] -0.57 0.78 -1.28 0.64 0.01 -0.62 0.13 0.00 0.14 NA [48,] 0.00 -0.15 0.63 -0.30 -0.05 0.28 0.03 -0.06 -0.03 NA [49,] -0.02 0.36 -0.23 0.11 -0.03 0.13 -0.04 -0.09 0.18 NA [50,] -0.06 0.11 0.19 0.17 -0.08 0.42 0.02 -0.20 0.26 NA [51,] -0.04 -0.10 0.61 0.11 0.37 -0.08 -0.03 0.01 0.17 NA [52,] 0.41 -0.99 -0.07 0.15 0.00 0.62 0.31 0.31 -0.33 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/1gft31413134002.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/2slnh1413134002.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/37y4e1413134002.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/4xwci1413134002.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] [,10] [1,] 21.185 20.5350 20.4250 19.845 19.415 19.865 18.925 19.550 19.375 19.580 [2,] 27.405 27.2950 27.3250 27.395 27.400 27.420 27.460 27.505 27.395 27.270 [3,] 33.790 33.9175 33.6575 33.550 33.635 33.890 33.950 33.985 33.515 33.695 [4,] 38.570 38.4400 38.5100 37.990 37.870 37.780 37.510 38.150 37.930 37.660 [5,] 42.260 42.3700 42.5500 42.100 42.660 42.720 42.700 42.400 42.350 42.100 [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [1,] 19.785 20.42 20.610 20.635 20.725 20.825 21.09 21.32 22.07 22.010 21.530 [2,] 27.640 27.31 27.400 27.325 27.385 27.435 27.50 27.65 27.43 27.145 26.910 [3,] 33.730 33.83 33.925 33.815 33.720 33.695 33.70 33.45 33.64 33.970 34.005 [4,] 37.770 37.87 38.350 38.120 38.120 38.310 38.35 38.52 38.03 38.120 38.320 [5,] 42.240 42.33 42.210 41.960 42.240 42.080 42.70 42.46 42.12 42.150 42.190 [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [1,] 20.805 20.505 21.960 21.310 21.680 21.92 21.440 21.645 21.560 21.100 [2,] 27.120 27.245 27.380 27.510 27.475 27.13 27.485 27.660 27.435 27.095 [3,] 34.045 34.150 34.265 34.375 34.340 33.91 33.710 34.030 33.835 33.860 [4,] 38.470 38.310 38.580 38.680 38.500 38.55 38.570 38.580 38.705 38.735 [5,] 42.520 42.920 43.090 42.970 42.380 42.34 42.250 41.930 42.240 42.550 [,32] [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [,41] [1,] 21.515 21.665 21.930 21.775 21.360 21.12 21.660 21.200 21.135 20.535 [2,] 27.155 26.940 27.005 26.895 27.110 26.99 27.410 27.665 27.955 27.860 [3,] 33.940 33.780 33.445 33.720 33.685 34.20 34.595 34.345 34.405 34.005 [4,] 38.800 38.830 38.950 39.090 39.050 38.78 38.650 38.280 38.620 38.900 [5,] 41.400 41.410 41.600 41.600 41.630 41.72 41.640 41.790 41.870 41.840 [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50] [,51] [1,] 21.155 20.335 20.635 21.355 21.525 21.235 21.340 21.570 21.420 21.045 [2,] 27.690 27.415 27.580 27.470 27.525 27.440 27.495 27.555 28.205 28.190 [3,] 33.995 34.150 34.230 34.150 33.745 33.735 34.095 33.935 33.475 33.735 [4,] 38.840 38.730 38.630 38.100 38.180 37.900 38.540 38.240 38.350 38.110 [5,] 41.850 41.960 42.170 42.190 42.360 42.290 42.290 42.230 42.140 42.050 [,52] [1,] 21.460 [2,] 28.275 [3,] 34.100 [4,] 38.470 [5,] 42.220 $n [1] 30 30 30 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 [26] 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 [51] 29 29 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 30.56926 30.70253 30.43099 30.44144 30.56312 30.85039 31.00134 30.86177 [2,] 37.01074 37.13247 36.88401 36.65856 36.70688 36.92961 36.89866 37.10823 [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [1,] 30.42405 30.64659 30.75787 30.73171 30.71228 30.64776 30.57037 30.50429 [2,] 36.60595 36.74341 36.70213 36.92829 37.13772 36.98224 36.86963 36.88571 [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 30.51662 30.26076 30.52997 30.74995 30.65732 30.71493 30.90354 30.97894 [2,] 36.88338 36.63924 36.75003 37.19005 37.35268 37.37507 37.39646 37.55106 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [1,] 31.09774 31.10528 30.55939 30.45768 30.82609 30.5284 30.44484 30.52337 [2,] 37.65226 37.57472 37.26061 36.96232 37.23391 37.1416 37.27516 37.35663 [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [1,] 30.29149 29.94035 30.142 30.18182 30.74083 31.2972 31.23057 31.2759 [2,] 37.26851 36.94965 37.298 37.18818 37.65917 37.8928 37.45943 37.5341 [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [1,] 30.76588 30.72361 30.83019 30.98795 31.03117 30.61884 30.66605 30.85441 [2,] 37.24412 37.26639 37.46981 37.47205 37.26883 36.87116 36.80395 37.33559 [,49] [,50] [,51] [,52] [1,] 30.80004 30.49847 30.82449 31.1088 [2,] 37.06996 36.45153 36.64551 37.0912 $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" "13" "14" "15" [16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30" [31] "31" "32" "33" "34" "35" "36" "37" "38" "39" "40" "41" "42" "43" "44" "45" [46] "46" "47" "48" "49" "50" "51" "52" > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/5xx7t1413134002.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] [,9] [,10] [1,] -0.675 -0.760 -0.580 -0.430 -0.435 -0.515 -0.550 -0.77 -0.945 -0.345 [2,] -0.150 -0.420 -0.190 -0.055 -0.090 -0.280 -0.135 -0.21 -0.285 -0.060 [3,] 0.075 -0.115 -0.055 0.085 0.085 -0.030 0.075 -0.11 -0.105 0.060 [4,] 0.380 0.120 0.175 0.210 0.265 0.070 0.220 0.17 0.180 0.175 [5,] 0.825 0.410 0.635 0.575 0.790 0.410 0.640 0.54 0.630 0.440 [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [1,] -0.340 -0.780 -0.52 -0.540 -0.520 -0.285 -0.420 -0.80 -0.460 -0.570 -0.725 [2,] -0.070 -0.200 -0.25 -0.155 -0.115 -0.170 -0.130 -0.22 -0.070 -0.200 -0.220 [3,] 0.040 0.105 -0.01 0.020 0.060 0.000 0.070 -0.02 0.020 0.085 0.050 [4,] 0.115 0.250 0.13 0.125 0.190 0.185 0.140 0.19 0.230 0.220 0.270 [5,] 0.380 0.810 0.61 0.305 0.385 0.620 0.335 0.75 0.515 0.460 0.700 [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [1,] -0.500 -0.240 -0.390 -0.685 -0.73 -0.480 -0.370 -0.425 -0.460 -0.470 [2,] -0.145 -0.005 -0.140 -0.165 -0.29 -0.120 -0.110 -0.160 -0.145 -0.205 [3,] 0.040 0.115 0.080 -0.035 -0.04 0.035 0.010 -0.010 -0.020 0.060 [4,] 0.125 0.200 0.165 0.220 0.14 0.230 0.175 0.100 0.160 0.230 [5,] 0.520 0.495 0.490 0.455 0.70 0.695 0.335 0.420 0.310 0.880 [,32] [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [,41] [1,] -0.745 -0.780 -0.605 -0.630 -0.465 -0.525 -0.62 -0.475 -0.660 -0.620 [2,] -0.200 -0.255 -0.155 -0.150 -0.120 -0.145 -0.24 -0.105 -0.345 -0.185 [3,] -0.110 -0.070 0.025 0.035 -0.010 -0.010 0.08 -0.020 -0.065 -0.050 [4,] 0.230 0.140 0.190 0.215 0.195 0.215 0.23 0.170 0.240 0.115 [5,] 0.575 0.680 0.570 0.610 0.595 0.640 0.64 0.570 0.550 0.420 [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50] [,51] [1,] -0.330 -0.425 -0.550 -0.270 -0.825 -0.620 -0.435 -0.700 -0.720 -0.245 [2,] -0.135 -0.095 -0.215 0.050 -0.280 -0.235 -0.150 -0.230 -0.290 -0.030 [3,] 0.055 0.070 0.075 0.170 -0.070 0.010 0.000 -0.030 -0.015 0.060 [4,] 0.185 0.230 0.140 0.270 0.090 0.150 0.170 0.205 0.150 0.340 [5,] 0.615 0.685 0.340 0.475 0.410 0.685 0.630 0.650 0.615 0.610 [,52] [1,] -0.575 [2,] -0.275 [3,] -0.015 [4,] 0.180 [5,] 0.620 $n [1] 30 30 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 [26] 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 [51] 29 29 $conf [,1] [,2] [,3] [,4] [,5] [,6] [1,] -0.07788762 -0.2707723 -0.1620905 0.007249362 -0.01915652 -0.13268952 [2,] 0.22788762 0.0407723 0.0520905 0.162750638 0.18915652 0.07268952 [,7] [,8] [,9] [,10] [,11] [,12] [1,] -0.02915652 -0.221491481 -0.24143036 -0.008948679 -0.01427875 -0.02702939 [2,] 0.17915652 0.001491481 0.03143036 0.128948679 0.09427875 0.23702939 [,13] [,14] [,15] [,16] [,17] [,18] [1,] -0.1214915 -0.06215162 -0.02948658 -0.1041565 -0.009217631 -0.1402934 [2,] 0.1014915 0.10215162 0.14948658 0.1041565 0.149217631 0.1002934 [,19] [,20] [,21] [,22] [,23] [,24] [1,] -0.06801959 -0.03822743 -0.09376533 -0.03921763 0.05485328 -0.009486583 [2,] 0.10801959 0.20822743 0.19376533 0.11921763 0.17514672 0.169486583 [,25] [,26] [,27] [,28] [,29] [,30] [1,] -0.14795847 -0.16616141 -0.06768952 -0.07361861 -0.08628364 -0.10948658 [2,] 0.07795847 0.08616141 0.13768952 0.09361861 0.06628364 0.06948658 [,31] [,32] [,33] [,34] [,35] [,36] [1,] -0.06762841 -0.23616141 -0.18589246 -0.07622253 -0.0720905 -0.10242057 [2,] 0.18762841 0.01616141 0.04589246 0.12622253 0.1420905 0.08242057 [,37] [,38] [,39] [,40] [,41] [,42] [1,] -0.11562351 -0.05789736 -0.10068462 -0.2366382 -0.13801959 -0.03888756 [2,] 0.09562351 0.21789736 0.06068462 0.1066382 0.03801959 0.14888756 [,43] [,44] [,45] [,46] [,47] [,48] [1,] -0.02535456 -0.02915652 0.1054523 -0.17855749 -0.1029585 -0.09388756 [2,] 0.16535456 0.17915652 0.2345477 0.03855749 0.1229585 0.09388756 [,49] [,50] [,51] [,52] [1,] -0.15762841 -0.1440954 -0.04855749 -0.1484964 [2,] 0.09762841 0.1140954 0.16855749 0.1184964 $out [1] 2.2800 0.9250 0.6400 -0.4700 0.8950 0.8000 -1.4600 -0.9400 -0.8250 [10] -0.8550 -0.8100 -0.8100 -1.2100 -2.0550 0.6300 -1.0500 -0.9000 0.6350 [19] -0.3500 0.4100 -0.5500 2.8800 -1.7650 1.1300 -0.9200 -0.7300 0.7850 [28] -0.7100 0.6850 -0.7900 -0.7200 1.1300 -0.9000 0.8100 0.9200 0.7137 [37] 0.7400 -1.1600 0.6600 0.5500 2.1200 -0.5900 -0.3700 0.6050 -0.3800 [46] -0.7000 -0.7000 -0.7700 0.8100 0.6350 0.6700 -0.6500 -0.7200 0.7650 [55] -0.7550 0.9150 -1.1500 1.1000 -1.0700 1.3500 0.8200 1.2250 -0.6300 [64] -0.7700 -0.6100 1.4650 -0.6800 0.5700 -0.8200 1.5600 -1.0200 -1.2900 [73] -0.8200 -0.9700 0.7450 0.6200 -0.4050 1.4500 -0.4900 -1.2700 0.7800 [82] 0.7800 -1.2800 1.1050 -1.3600 0.6500 1.2550 -0.7900 -0.9900 $group [1] 1 3 4 4 5 5 5 6 7 7 8 8 8 10 10 10 11 11 11 11 11 12 13 13 13 [26] 14 15 15 15 16 16 17 17 17 17 19 19 20 22 22 23 23 23 23 23 24 24 24 27 28 [51] 28 29 30 30 30 30 31 32 33 34 34 35 36 36 39 41 41 41 42 44 44 44 44 44 45 [76] 45 45 45 45 46 47 47 47 48 48 48 49 51 52 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" "13" "14" "15" [16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30" [31] "31" "32" "33" "34" "35" "36" "37" "38" "39" "40" "41" "42" "43" "44" "45" [46] "46" "47" "48" "49" "50" "51" "52" Warning message: In bxp(list(stats = c(-0.675000000000001, -0.149999999999999, 0.0749999999999993, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/6p61c1413134002.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] [,9] [1,] 20.5050 20.3350 18.9250 22.4500 24.0600 26.5600 26.3250 26.1500 25.0150 [2,] 21.9925 21.4300 20.6800 23.7000 24.6150 27.2225 27.1000 26.7725 25.6600 [3,] 22.6200 21.9225 21.4625 24.2725 24.8175 28.0175 27.4800 26.9925 26.1675 [4,] 23.1850 22.3425 22.3375 24.5850 26.3125 28.7925 28.1925 27.3500 26.4175 [5,] 24.6500 23.2300 22.6700 25.5150 27.1600 29.5550 28.8700 27.6600 27.5250 [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [1,] 27.580 30.1700 30.8000 32.8600 31.980 32.6150 32.3700 33.4950 35.9700 [2,] 28.040 31.1325 31.4625 33.3650 32.785 33.5975 33.3775 34.0100 36.8925 [3,] 28.805 31.9350 31.6625 33.6575 33.460 34.0900 33.7850 34.4200 37.2900 [4,] 29.410 32.4200 32.0625 33.8650 34.125 34.8125 34.4650 35.0025 38.1625 [5,] 30.000 32.8850 32.8200 34.2300 34.865 35.6150 35.0800 36.3300 38.7350 [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [,27] [,28] [1,] 37.3350 36.290 35.970 36.840 39.130 37.900 37.050 37.61 37.300 40.370 [2,] 38.2625 37.305 36.935 37.920 40.725 38.585 38.165 39.22 38.185 40.745 [3,] 38.9175 37.870 37.265 38.825 42.100 40.210 38.840 39.91 38.490 40.890 [4,] 39.5000 38.235 37.580 40.100 42.360 40.605 39.710 40.31 38.810 41.710 [5,] 40.5600 38.640 37.970 41.180 43.090 41.090 40.430 41.31 38.990 42.360 [,29] [,30] [1,] 39.180 41.780 [2,] 40.515 41.835 [3,] 41.480 41.890 [4,] 41.905 42.080 [5,] 42.430 42.270 $n [1] 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 [26] 52 52 52 52 3 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 22.35872 21.72257 21.09933 24.07859 24.44557 27.6735 27.24063 26.86597 [2,] 22.88128 22.12243 21.82567 24.46641 25.18943 28.3615 27.71937 27.11903 [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [1,] 26.00153 28.50482 31.6529 31.53104 33.54795 33.1664 33.82379 33.54672 [2,] 26.33347 29.10518 32.2171 31.79396 33.76705 33.7536 34.35621 34.02328 [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 34.20254 37.01173 38.64636 37.66623 37.12368 38.34735 41.74176 39.7674 [2,] 34.63746 37.56827 39.18864 38.07377 37.40632 39.30265 42.45824 40.6526 [,25] [,26] [,27] [,28] [,29] [,30] [1,] 38.50148 39.67117 38.35306 40.67856 41.17544 41.66651 [2,] 39.17852 40.14883 38.62694 41.10144 41.78456 42.11349 $out [1] 25.730 26.240 25.515 26.440 27.080 26.800 26.285 25.460 21.375 22.200 [11] 21.815 25.770 27.555 28.205 28.190 28.275 31.350 31.785 31.755 32.135 [21] 32.345 32.610 32.515 37.200 37.480 37.100 37.180 40.180 40.590 40.720 [31] 40.750 40.710 40.730 40.700 $group [1] 1 1 1 1 1 1 1 1 4 4 4 8 9 9 9 9 13 13 13 13 13 13 13 26 26 [26] 27 27 27 27 27 27 27 27 27 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" "13" "14" "15" [16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" NA Warning message: In bxp(list(stats = c(20.505, 21.9925, 22.62, 23.185, 24.65, 20.335, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/75q1s1413134002.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,] 32.68345 33.445 32.46500 [2,] 32.86207 33.715 32.74125 [3,] 33.07466 33.900 32.92000 [4,] 33.19017 34.070 33.05250 [5,] 33.38448 34.595 33.38000 $n [1] 52 52 52 $conf [,1] [,2] [,3] [1,] 33.00277 33.82222 32.8518 [2,] 33.14654 33.97778 32.9882 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" > dev.off() null device 1 > > try(system("convert tmp/1gft31413134002.ps tmp/1gft31413134002.png",intern=TRUE)) character(0) > try(system("convert tmp/2slnh1413134002.ps tmp/2slnh1413134002.png",intern=TRUE)) character(0) > try(system("convert tmp/37y4e1413134002.ps tmp/37y4e1413134002.png",intern=TRUE)) character(0) > try(system("convert tmp/4xwci1413134002.ps tmp/4xwci1413134002.png",intern=TRUE)) character(0) > try(system("convert tmp/5xx7t1413134002.ps tmp/5xx7t1413134002.png",intern=TRUE)) character(0) > try(system("convert tmp/6p61c1413134002.ps tmp/6p61c1413134002.png",intern=TRUE)) character(0) > try(system("convert tmp/75q1s1413134002.ps tmp/75q1s1413134002.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.146 0.498 3.672