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Data X:
12.9 12 1 0 11 8 7 18 12 20 4 13 149 18 68 12.2 8 1 1 19 18 20 23 20 19 4 8 139 31 39 12.8 11 1 0 16 12 9 22 14 18 5 14 148 39 32 7.4 13 1 1 24 24 19 22 25 24 4 16 158 46 62 6.7 11 1 1 15 16 12 19 15 20 4 14 128 31 33 12.6 10 1 1 17 19 16 25 20 20 9 13 224 67 52 14.8 7 1 0 19 16 17 28 21 24 8 15 159 35 62 13.3 10 1 1 19 15 9 16 15 21 11 13 105 52 77 11.1 15 1 1 28 28 28 28 28 28 4 20 159 77 76 8.2 12 1 1 26 21 20 21 11 10 4 17 167 37 41 11.4 12 1 1 15 18 16 22 22 22 6 15 165 32 48 6.4 10 1 1 26 22 22 24 22 19 4 16 159 36 63 10.6 10 1 1 16 19 17 24 27 27 8 12 119 38 30 12 14 1 0 24 22 12 26 24 23 4 17 176 69 78 6.3 6 1 0 25 25 18 28 23 24 4 11 54 21 19 11.3 12 0 0 22 20 20 24 24 24 11 16 91 26 31 11.9 14 1 1 15 16 12 20 21 25 4 16 163 54 66 9.3 11 1 0 21 19 16 26 20 24 4 15 124 36 35 9.6 8 0 1 22 18 16 21 19 21 6 13 137 42 42 10 12 1 0 27 26 21 28 25 28 6 14 121 23 45 6.4 15 1 1 26 24 15 27 16 28 4 19 153 34 21 13.8 13 1 1 26 20 17 23 24 22 8 16 148 112 25 10.8 11 1 0 22 19 17 24 21 26 5 17 221 35 44 13.8 12 1 1 21 19 17 24 22 26 4 10 188 47 69 11.7 7 1 1 22 23 18 22 25 21 9 15 149 47 54 10.9 11 1 1 20 18 15 21 23 26 4 14 244 37 74 16.1 7 0 1 21 16 20 25 20 23 7 14 148 109 80 13.4 12 0 0 20 18 13 20 21 20 10 16 92 24 42 9.9 12 1 1 22 21 21 21 22 24 4 15 150 20 61 11.5 13 1 0 21 20 12 26 25 25 4 17 153 22 41 8.3 9 1 0 8 15 6 23 23 24 7 14 94 23 46 11.7 11 1 0 22 19 13 21 19 20 12 16 156 32 39 9 12 1 1 20 19 19 27 21 24 7 15 132 30 34 9.7 15 1 1 24 7 12 25 19 25 5 16 161 92 51 10.8 12 1 1 17 20 14 23 25 23 8 16 105 43 42 10.3 6 1 1 20 20 13 25 16 21 5 10 97 55 31 10.4 5 1 0 23 19 12 23 24 23 4 8 151 16 39 12.7 13 0 1 20 19 17 19 24 21 9 17 131 49 20 9.3 11 1 1 22 20 19 22 18 18 7 14 166 71 49 11.8 6 1 0 19 18 10 24 28 24 4 10 157 43 53 5.9 12 1 1 15 14 10 19 15 18 4 14 111 29 31 11.4 10 1 1 20 17 11 21 17 21 4 12 145 56 39 13 6 1 1 22 17 11 27 18 23 4 16 162 46 54 10.8 12 1 1 17 8 10 25 26 25 4 16 163 19 49 12.3 11 0 1 14 9 7 25 18 22 7 16 59 23 34 11.3 6 1 0 24 22 22 23 22 22 4 8 187 59 46 11.8 12 1 1 17 20 12 17 19 23 7 16 109 30 55 7.9 12 0 1 23 20 18 28 17 24 4 15 90 61 42 12.7 8 1 0 25 22 20 25 26 25 4 8 105 7 50 12.3 10 0 1 16 22 9 20 21 22 4 13 83 38 13 11.6 11 0 1 18 22 16 25 26 24 4 14 116 32 37 6.7 7 0 1 20 16 14 21 21 21 8 13 42 16 25 10.9 12 1 1 18 14 11 24 12 24 4 16 148 19 30 12.1 13 0 1 23 24 20 28 20 25 4 19 155 22 28 13.3 14 1 1 24 21 17 20 20 23 4 19 125 48 45 10.1 12 1 1 23 20 14 19 24 27 4 14 116 23 35 5.7 6 0 0 13 20 8 24 24 27 7 15 128 26 28 14.3 14 1 1 20 18 16 21 22 23 12 13 138 33 41 8 10 0 0 20 14 11 24 21 18 4 10 49 9 6 13.3 12 0 1 19 19 10 23 20 20 4 16 96 24 45 9.3 11 1 1 22 24 15 18 23 23 4 15 164 34 73 12.5 10 1 0 22 19 15 27 19 24 5 11 162 48 17 7.6 7 1 0 15 16 10 25 24 26 15 9 99 18 40 15.9 12 1 1 17 16 10 20 21 20 5 16 202 43 64 9.2 7 1 0 19 16 18 21 16 23 10 12 186 33 37 9.1 12 0 1 20 14 10 23 17 22 9 12 66 28 25 11.1 12 1 0 22 22 22 27 23 23 8 14 183 71 65 13 10 1 1 21 21 16 24 20 17 4 14 214 26 100 14.5 10 1 1 21 15 10 27 19 20 5 13 188 67 28 12.2 12 0 0 16 14 7 24 18 22 4 15 104 34 35 12.3 12 1 0 20 15 16 23 18 18 9 17 177 80 56 11.4 12 1 0 21 14 16 24 21 19 4 14 126 29 29 8.8 8 0 0 20 20 16 21 20 19 10 11 76 16 43 14.6 10 0 1 23 21 22 23 17 16 4 9 99 59 59 12.6 5 1 0 18 14 5 27 25 26 4 7 139 32 50 13 10 1 0 16 16 10 25 17 25 7 15 162 43 59 12.6 12 0 1 17 13 8 19 17 23 5 12 108 38 27 13.2 11 1 0 24 26 16 24 24 18 4 15 159 29 61 9.9 9 0 0 13 13 8 25 21 22 4 14 74 36 28 7.7 12 1 1 19 18 16 23 22 26 4 16 110 32 51 10.5 11 0 0 20 15 14 23 18 25 4 14 96 35 35 13.4 10 0 0 22 18 15 25 22 26 4 13 116 21 29 10.9 12 0 0 19 21 9 26 20 26 4 16 87 29 48 4.3 10 0 1 21 17 21 26 21 24 6 13 97 12 25 10.3 9 0 0 15 18 7 16 21 22 10 16 127 37 44 11.8 11 0 1 21 20 17 23 20 21 7 16 106 37 64 11.2 12 0 1 24 18 18 26 18 22 4 16 80 47 32 11.4 7 0 0 22 25 16 25 25 28 4 10 74 51 20 8.6 11 0 0 20 20 16 23 23 22 7 12 91 32 28 13.2 12 0 0 21 19 14 26 21 26 4 12 133 21 34 12.6 6 0 1 19 18 15 22 20 20 8 12 74 13 31 5.6 9 0 1 14 12 8 20 21 24 11 12 114 14 26 9.9 15 0 1 25 22 22 27 20 21 6 19 140 -2 58 8.8 10 0 0 11 16 5 20 22 23 14 14 95 20 23 7.7 11 0 1 17 18 13 22 15 23 5 13 98 24 21 9 12 0 0 22 23 22 24 24 23 4 16 121 11 21 7.3 12 0 1 20 20 18 21 22 22 8 15 126 23 33 11.4 12 0 1 22 20 15 24 21 23 9 12 98 24 16 13.6 11 0 1 15 16 11 26 17 21 4 8 95 14 20 7.9 9 0 1 23 22 19 24 23 27 4 10 110 52 37 10.7 11 0 1 20 19 19 24 22 23 5 16 70 15 35 10.3 12 0 0 22 23 21 27 23 26 4 16 102 23 33 8.3 12 0 1 16 6 4 25 16 27 5 10 86 19 27 9.6 14 0 1 25 19 17 27 18 27 4 18 130 35 41 14.2 8 0 1 18 24 10 19 25 23 4 12 96 24 40 8.5 10 0 0 19 19 13 22 18 23 7 16 102 39 35 13.5 9 0 0 25 15 15 22 14 23 10 10 100 29 28 4.9 10 0 0 21 18 11 25 20 28 4 14 94 13 32 6.4 9 0 0 22 18 20 23 19 24 5 12 52 8 22 9.6 10 0 0 21 22 13 24 18 20 4 11 98 18 44 11.6 12 0 0 22 23 18 24 22 23 4 15 118 24 27 11.1 11 0 1 23 18 20 23 21 22 4 7 99 19 17 4.35 9 1 1 20 17 15 22 14 15 6 16 48 23 12 12.7 11 1 1 6 6 4 24 5 27 4 16 50 16 45 18.1 12 1 1 15 22 9 19 25 23 8 16 150 33 37 17.85 12 1 1 18 20 18 25 21 23 5 16 154 32 37 16.6 7 0 0 24 16 12 26 11 20 4 12 109 37 108 12.6 12 0 1 22 16 17 18 20 18 17 15 68 14 10 17.1 12 1 1 21 17 12 24 9 22 4 14 194 52 68 19.1 12 1 0 23 20 16 28 15 20 4 15 158 75 72 16.1 10 1 1 20 23 17 23 23 21 8 16 159 72 143 13.35 15 1 0 20 18 14 19 21 25 4 13 67 15 9 18.4 10 1 0 18 13 13 19 9 19 7 10 147 29 55 14.7 15 1 1 25 22 20 27 24 25 4 17 39 13 17 10.6 10 1 1 16 20 16 24 16 24 4 15 100 40 37 12.6 15 1 1 20 20 15 26 20 22 5 18 111 19 27 16.2 9 1 1 14 13 10 21 15 28 7 16 138 24 37 13.6 15 1 1 22 16 16 25 18 22 4 20 101 121 58 18.9 12 0 1 26 25 21 28 22 21 4 16 131 93 66 14.1 13 1 1 20 16 15 19 21 23 7 17 101 36 21 14.5 12 1 1 17 15 16 20 21 19 11 16 114 23 19 16.15 12 1 0 22 19 19 26 21 21 7 15 165 85 78 14.75 8 1 1 22 19 9 27 20 25 4 13 114 41 35 14.8 9 1 1 20 24 19 23 24 23 4 16 111 46 48 12.45 15 1 1 17 9 7 18 15 28 4 16 75 18 27 12.65 12 1 1 22 22 23 23 24 14 4 16 82 35 43 17.35 12 1 1 17 15 14 21 18 23 4 17 121 17 30 8.6 15 1 1 22 22 10 23 24 24 4 20 32 4 25 18.4 11 1 0 21 22 16 22 24 25 6 14 150 28 69 16.1 12 1 1 25 24 12 21 15 15 8 17 117 44 72 11.6 6 0 1 11 12 10 14 19 23 23 6 71 10 23 17.75 14 1 1 19 21 7 24 20 26 4 16 165 38 13 15.25 12 1 1 24 25 20 26 26 21 8 15 154 57 61 17.65 12 1 1 17 26 9 24 26 26 6 16 126 23 43 16.35 12 1 0 22 21 12 22 23 23 4 16 149 36 51 17.65 11 1 0 17 14 10 20 13 15 7 14 145 22 67 13.6 12 1 1 26 28 19 20 16 16 4 16 120 40 36 14.35 12 1 0 20 21 11 18 22 20 4 16 109 31 44 14.75 12 1 0 19 16 15 18 21 20 4 16 132 11 45 18.25 12 1 1 21 16 14 25 11 21 10 14 172 38 34 9.9 8 1 0 24 25 11 28 23 28 6 14 169 24 36 16 8 1 1 21 21 14 23 18 19 5 16 114 37 72 18.25 12 1 1 19 22 15 20 19 21 5 16 156 37 39 16.85 12 1 0 13 9 7 22 15 22 4 15 172 22 43 14.6 11 0 1 24 20 22 27 8 27 4 16 68 15 25 13.85 10 0 1 28 19 19 24 15 20 5 16 89 2 56 18.95 11 1 1 27 24 22 23 21 17 5 18 167 43 80 15.6 12 1 0 22 22 11 20 25 26 5 15 113 31 40 14.85 13 0 0 23 22 19 22 14 21 5 16 115 29 73 11.75 12 0 0 19 12 9 21 21 24 4 16 78 45 34 18.45 12 0 0 18 17 11 24 18 21 6 16 118 25 72 15.9 10 0 1 23 18 17 26 18 25 4 17 87 4 42 17.1 10 1 0 21 10 12 24 12 22 4 14 173 31 61 16.1 11 1 1 22 22 17 18 24 17 4 18 2 -4 23 19.9 8 0 0 17 24 10 17 17 14 9 9 162 66 74 10.95 12 0 1 15 18 17 23 20 23 18 15 49 61 16 18.45 9 0 0 21 18 13 21 24 28 6 14 122 32 66 15.1 12 0 1 20 23 11 21 22 24 5 15 96 31 9 15 9 0 0 26 21 19 24 15 22 4 13 100 39 41 11.35 11 0 0 19 21 21 22 22 24 11 16 82 19 57 15.95 15 0 1 28 28 24 24 26 25 4 20 100 31 48 18.1 8 0 0 21 17 13 24 17 21 10 14 115 36 51 14.6 8 0 1 19 21 16 24 23 22 6 12 141 42 53 15.4 11 1 1 22 21 13 23 19 16 8 15 165 21 29 15.4 11 1 1 21 20 15 21 21 18 8 15 165 21 29 17.6 11 0 1 20 18 15 24 23 27 6 15 110 25 55 13.35 13 1 1 19 17 11 19 19 17 8 16 118 32 54 19.1 7 1 0 11 7 7 19 18 25 4 11 158 26 43 15.35 12 0 1 17 17 13 23 16 24 4 16 146 28 51 7.6 8 1 0 19 14 13 25 23 21 9 7 49 32 20 13.4 8 0 0 20 18 12 24 13 21 9 11 90 41 79 13.9 4 0 0 17 14 8 21 18 19 5 9 121 29 39 19.1 11 1 1 21 23 7 18 23 27 4 15 155 33 61 15.25 10 0 0 21 20 17 23 21 28 4 16 104 17 55 12.9 7 0 1 12 14 9 20 23 19 15 14 147 13 30 16.1 12 0 0 23 17 18 23 16 23 10 15 110 32 55 17.35 11 0 0 22 21 17 23 17 25 9 13 108 30 22 13.15 9 0 0 22 23 17 23 20 26 7 13 113 34 37 12.15 10 0 0 21 24 18 23 18 25 9 12 115 59 2 12.6 8 0 1 20 21 12 27 20 25 6 16 61 13 38 10.35 8 0 1 18 14 14 19 19 24 4 14 60 23 27 15.4 11 0 1 21 24 22 25 26 24 7 16 109 10 56 9.6 12 0 1 24 16 19 25 9 24 4 14 68 5 25 18.2 10 0 0 22 21 21 21 23 22 7 15 111 31 39 13.6 10 0 0 20 8 10 25 9 21 4 10 77 19 33 14.85 12 0 1 17 17 16 17 13 17 15 16 73 32 43 14.75 8 1 0 19 18 11 22 27 23 4 14 151 30 57 14.1 11 0 0 16 17 15 23 22 17 9 16 89 25 43 14.9 8 0 0 19 16 12 27 12 25 4 12 78 48 23 16.25 10 0 0 23 22 21 27 18 19 4 16 110 35 44 19.25 14 1 1 8 17 22 5 6 8 28 16 220 67 54 13.6 9 0 1 22 21 20 19 17 14 4 15 65 15 28 13.6 9 1 0 23 20 15 24 22 22 4 14 141 22 36 15.65 10 0 0 15 20 9 23 22 25 4 16 117 18 39 12.75 13 1 1 17 19 15 28 23 28 5 11 122 33 16 14.6 12 0 0 21 8 14 25 19 25 4 15 63 46 23 9.85 13 1 1 25 19 11 27 20 24 4 18 44 24 40 12.65 8 0 1 18 11 9 16 17 15 12 13 52 14 24 19.2 3 0 0 20 13 12 25 24 24 4 7 131 12 78 16.6 8 0 1 21 18 11 26 20 28 6 7 101 38 57 11.2 12 0 1 21 19 14 24 18 24 6 17 42 12 37 15.25 11 1 1 24 23 10 23 23 25 5 18 152 28 27 11.9 9 1 0 22 20 18 24 27 23 4 15 107 41 61 13.2 12 0 0 22 22 11 27 25 26 4 8 77 12 27 16.35 12 1 0 23 19 14 25 24 26 4 13 154 31 69 12.4 12 1 1 17 16 16 19 12 22 10 13 103 33 34 15.85 10 0 1 15 11 11 19 16 25 7 15 96 34 44 18.15 13 1 1 22 21 16 24 24 22 4 18 175 21 34 11.15 9 0 1 19 14 13 20 23 26 7 16 57 20 39 15.65 12 0 0 18 21 12 21 24 20 4 14 112 44 51 17.75 11 1 0 21 20 17 28 24 26 4 15 143 52 34 7.65 14 0 0 20 21 23 26 26 26 12 19 49 7 31 12.35 11 1 1 19 20 14 19 19 21 5 16 110 29 13 15.6 9 1 1 19 19 10 23 28 21 8 12 131 11 12 19.3 12 1 0 16 19 16 23 23 24 6 16 167 26 51 15.2 8 0 0 18 18 11 21 21 21 17 11 56 24 24 17.1 15 1 0 23 20 16 26 19 18 4 16 137 7 19 15.6 12 0 1 22 21 19 25 23 23 5 15 86 60 30 18.4 14 1 1 23 22 17 25 23 26 4 19 121 13 81 19.05 12 1 0 20 19 12 24 20 23 5 15 149 20 42 18.55 9 1 0 24 23 17 23 18 25 5 14 168 52 22 19.1 9 1 0 25 16 11 22 20 20 6 14 140 28 85 13.1 13 0 1 25 23 19 27 28 25 4 17 88 25 27 12.85 13 1 1 20 18 12 26 21 26 4 16 168 39 25 9.5 15 1 1 23 23 8 23 25 19 4 20 94 9 22 4.5 11 1 1 21 20 17 22 18 21 6 16 51 19 19 11.85 7 0 0 23 20 13 26 24 23 8 9 48 13 14 13.6 10 1 1 23 23 17 22 28 24 10 13 145 60 45 11.7 11 1 1 11 13 7 17 9 6 4 15 66 19 45 12.4 14 0 1 21 21 23 25 22 22 5 19 85 34 28 13.35 14 1 0 27 26 18 22 26 21 4 16 109 14 51 11.4 13 0 0 19 18 13 28 28 28 4 17 63 17 41 14.9 12 0 1 21 19 17 22 18 24 4 16 102 45 31 19.9 8 0 0 16 18 13 21 23 14 16 9 162 66 74 11.2 13 0 1 21 18 8 24 15 20 7 11 86 48 19 14.6 9 0 1 22 19 16 26 24 28 4 14 114 29 51 17.6 12 1 0 16 13 14 26 12 19 4 19 164 -2 73 14.05 13 1 1 18 10 13 24 12 24 14 13 119 51 24 16.1 11 1 0 23 21 19 27 20 21 5 14 126 2 61 13.35 11 1 1 24 24 15 22 25 21 5 15 132 24 23 11.85 13 1 1 20 21 15 23 24 26 5 15 142 40 14 11.95 12 1 0 20 23 8 22 23 24 5 14 83 20 54 14.75 12 0 1 18 18 14 23 18 26 7 16 94 19 51 15.15 10 0 0 4 11 7 15 20 25 19 17 81 16 62 13.2 9 1 1 14 16 11 20 22 23 16 12 166 20 36 16.85 10 0 0 22 20 17 22 20 24 4 15 110 40 59 7.85 13 0 1 17 20 19 25 25 24 4 17 64 27 24 7.7 13 1 0 23 26 17 27 28 26 7 15 93 25 26 12.6 9 0 0 20 21 12 24 25 23 9 10 104 49 54 7.85 11 0 1 18 12 12 21 14 20 5 16 105 39 39 10.95 12 0 1 19 15 18 17 16 16 14 15 49 61 16 12.35 8 0 0 20 18 16 26 24 24 4 11 88 19 36 9.95 12 0 1 15 14 15 20 13 20 16 16 95 67 31 14.9 12 0 1 24 18 20 22 19 23 10 16 102 45 31 16.65 12 0 0 21 16 16 24 18 23 5 16 99 30 42 13.4 9 0 1 19 19 12 23 16 18 6 14 63 8 39 13.95 12 0 0 19 7 10 22 8 21 4 14 76 19 25 15.7 12 0 0 27 21 28 28 27 25 4 16 109 52 31 16.85 11 0 1 23 24 19 21 23 23 4 16 117 22 38 10.95 12 0 1 23 21 18 24 20 26 5 18 57 17 31 15.35 6 0 0 20 20 19 28 20 26 4 14 120 33 17 12.2 7 0 1 17 22 8 25 26 24 4 20 73 34 22 15.1 10 0 0 21 17 17 24 23 23 5 15 91 22 55 17.75 12 0 0 23 19 16 24 24 21 4 16 108 30 62 15.2 10 0 1 22 20 18 21 21 23 4 16 105 25 51 14.6 12 1 0 16 16 12 20 15 20 5 16 117 38 30 16.65 9 0 0 20 20 17 26 22 23 8 12 119 26 49 8.1 3 0 1 16 16 13 16 25 24 15 8 31 13 16
Names of X columns:
TOT CONFSOFTTOT group gender AMS.I1 AMS.I2 AMS.I3 AMS.E1 AMS.E2 AMS.E3 AMS.A CONFSTATTOT LFM PRH CH
Type of Correlation


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Title:

R Code
panel.tau <- function(x, y, digits=2, prefix='', cex.cor) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(0, 1, 0, 1)) rr <- cor.test(x, y, method=par1) r <- round(rr$p.value,2) txt <- format(c(r, 0.123456789), digits=digits)[1] txt <- paste(prefix, txt, sep='') if(missing(cex.cor)) cex <- 0.5/strwidth(txt) text(0.5, 0.5, txt, cex = cex) } panel.hist <- function(x, ...) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(usr[1:2], 0, 1.5) ) h <- hist(x, plot = FALSE) breaks <- h$breaks; nB <- length(breaks) y <- h$counts; y <- y/max(y) rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...) } x <- na.omit(x) y <- t(na.omit(t(y))) bitmap(file='test1.png') pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main) dev.off() load(file='createtable') n <- length(y[,1]) n a<-table.start() a<-table.row.start(a) a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,' ',header=TRUE) for (i in 1:n) { a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) } a<-table.row.end(a) for (i in 1:n) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) for (j in 1:n) { r <- cor.test(y[i,],y[j,],method=par1) a<-table.element(a,round(r$estimate,3)) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab') ncorrs <- (n*n -n)/2 mycorrs <- array(0, dim=c(10,3)) a<-table.start() a<-table.row.start(a) a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'pair',1,TRUE) a<-table.element(a,'Pearson r',1,TRUE) a<-table.element(a,'Spearman rho',1,TRUE) a<-table.element(a,'Kendall tau',1,TRUE) a<-table.row.end(a) cor.test(y[1,],y[2,],method=par1) for (i in 1:(n-1)) { for (j in (i+1):n) { a<-table.row.start(a) dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='') a<-table.element(a,dum,header=TRUE) rp <- cor.test(y[i,],y[j,],method='pearson') a<-table.element(a,round(rp$estimate,4)) rs <- cor.test(y[i,],y[j,],method='spearman') a<-table.element(a,round(rs$estimate,4)) rk <- cor.test(y[i,],y[j,],method='kendall') a<-table.element(a,round(rk$estimate,4)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=T) a<-table.element(a,paste('(',round(rp$p.value,4),')',sep='')) a<-table.element(a,paste('(',round(rs$p.value,4),')',sep='')) a<-table.element(a,paste('(',round(rk$p.value,4),')',sep='')) a<-table.row.end(a) for (iii in 1:10) { iiid100 <- iii / 100 if (rp$p.value < iiid100) mycorrs[iii, 1] = mycorrs[iii, 1] + 1 if (rs$p.value < iiid100) mycorrs[iii, 2] = mycorrs[iii, 2] + 1 if (rk$p.value < iiid100) mycorrs[iii, 3] = mycorrs[iii, 3] + 1 } } } a<-table.end(a) table.save(a,file='mytable1.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Meta Analysis of Correlation Tests',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Number of significant by total number of Correlations',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Type I error',1,TRUE) a<-table.element(a,'Pearson r',1,TRUE) a<-table.element(a,'Spearman rho',1,TRUE) a<-table.element(a,'Kendall tau',1,TRUE) a<-table.row.end(a) for (iii in 1:10) { iiid100 <- iii / 100 a<-table.row.start(a) a<-table.element(a,round(iiid100,2),header=T) a<-table.element(a,round(mycorrs[iii,1]/ncorrs,2)) a<-table.element(a,round(mycorrs[iii,2]/ncorrs,2)) a<-table.element(a,round(mycorrs[iii,3]/ncorrs,2)) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable2.tab')

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	Big Analytics Cloud Computing Center