[4] | 1 | /* |
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| 2 | * This program is free software; you can redistribute it and/or modify |
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| 3 | * it under the terms of the GNU General Public License as published by |
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| 4 | * the Free Software Foundation; either version 2 of the License, or |
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| 5 | * (at your option) any later version. |
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| 6 | * |
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| 7 | * This program is distributed in the hope that it will be useful, |
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| 8 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
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| 9 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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| 10 | * GNU General Public License for more details. |
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| 11 | * |
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| 12 | * You should have received a copy of the GNU General Public License |
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| 13 | * along with this program; if not, write to the Free Software |
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| 14 | * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. |
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| 15 | */ |
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| 16 | |
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| 17 | /* |
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| 18 | * ResultMatrixPlainText.java |
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| 19 | * Copyright (C) 2005 University of Waikato, Hamilton, New Zealand |
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| 20 | * |
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| 21 | */ |
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| 22 | |
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| 23 | package weka.experiment; |
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| 24 | |
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| 25 | import weka.core.RevisionUtils; |
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| 26 | import weka.core.Utils; |
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| 27 | |
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| 28 | /** |
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| 29 | <!-- globalinfo-start --> |
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| 30 | * Generates the output as plain text (for fixed width fonts). |
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| 31 | * <p/> |
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| 32 | <!-- globalinfo-end --> |
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| 33 | * |
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| 34 | <!-- options-start --> |
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| 35 | * Valid options are: <p/> |
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| 36 | * |
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| 37 | * <pre> -mean-prec <int> |
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| 38 | * The number of decimals after the decimal point for the mean. |
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| 39 | * (default: 2)</pre> |
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| 40 | * |
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| 41 | * <pre> -stddev-prec <int> |
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| 42 | * The number of decimals after the decimal point for the mean. |
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| 43 | * (default: 2)</pre> |
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| 44 | * |
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| 45 | * <pre> -col-name-width <int> |
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| 46 | * The maximum width for the column names (0 = optimal). |
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| 47 | * (default: 0)</pre> |
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| 48 | * |
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| 49 | * <pre> -row-name-width <int> |
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| 50 | * The maximum width for the row names (0 = optimal). |
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| 51 | * (default: 25)</pre> |
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| 52 | * |
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| 53 | * <pre> -mean-width <int> |
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| 54 | * The width of the mean (0 = optimal). |
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| 55 | * (default: 0)</pre> |
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| 56 | * |
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| 57 | * <pre> -stddev-width <int> |
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| 58 | * The width of the standard deviation (0 = optimal). |
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| 59 | * (default: 0)</pre> |
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| 60 | * |
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| 61 | * <pre> -sig-width <int> |
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| 62 | * The width of the significance indicator (0 = optimal). |
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| 63 | * (default: 0)</pre> |
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| 64 | * |
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| 65 | * <pre> -count-width <int> |
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| 66 | * The width of the counts (0 = optimal). |
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| 67 | * (default: 5)</pre> |
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| 68 | * |
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| 69 | * <pre> -show-stddev |
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| 70 | * Whether to display the standard deviation column. |
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| 71 | * (default: no)</pre> |
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| 72 | * |
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| 73 | * <pre> -show-avg |
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| 74 | * Whether to show the row with averages. |
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| 75 | * (default: no)</pre> |
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| 76 | * |
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| 77 | * <pre> -remove-filter |
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| 78 | * Whether to remove the classname package prefixes from the |
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| 79 | * filter names in datasets. |
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| 80 | * (default: no)</pre> |
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| 81 | * |
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| 82 | * <pre> -print-col-names |
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| 83 | * Whether to output column names or just numbers representing them. |
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| 84 | * (default: no)</pre> |
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| 85 | * |
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| 86 | * <pre> -print-row-names |
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| 87 | * Whether to output row names or just numbers representing them. |
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| 88 | * (default: no)</pre> |
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| 89 | * |
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| 90 | * <pre> -enum-col-names |
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| 91 | * Whether to enumerate the column names (prefixing them with |
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| 92 | * '(x)', with 'x' being the index). |
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| 93 | * (default: no)</pre> |
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| 94 | * |
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| 95 | * <pre> -enum-row-names |
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| 96 | * Whether to enumerate the row names (prefixing them with |
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| 97 | * '(x)', with 'x' being the index). |
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| 98 | * (default: no)</pre> |
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| 99 | * |
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| 100 | <!-- options-end --> |
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| 101 | * |
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| 102 | * @author FracPete (fracpete at waikato dot ac dot nz) |
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| 103 | * @version $Revision: 5346 $ |
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| 104 | */ |
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| 105 | public class ResultMatrixPlainText |
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| 106 | extends ResultMatrix { |
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| 107 | |
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| 108 | /** for serialization. */ |
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| 109 | private static final long serialVersionUID = 1502934525382357937L; |
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| 110 | |
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| 111 | /** |
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| 112 | * initializes the matrix as 1x1 matrix. |
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| 113 | */ |
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| 114 | public ResultMatrixPlainText() { |
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| 115 | this(1, 1); |
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| 116 | } |
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| 117 | |
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| 118 | /** |
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| 119 | * initializes the matrix with the given dimensions. |
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| 120 | * |
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| 121 | * @param cols the number of columns |
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| 122 | * @param rows the number of rows |
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| 123 | */ |
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| 124 | public ResultMatrixPlainText(int cols, int rows) { |
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| 125 | super(cols, rows); |
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| 126 | } |
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| 127 | |
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| 128 | /** |
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| 129 | * initializes the matrix with the values from the given matrix. |
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| 130 | * |
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| 131 | * @param matrix the matrix to get the values from |
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| 132 | */ |
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| 133 | public ResultMatrixPlainText(ResultMatrix matrix) { |
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| 134 | super(matrix); |
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| 135 | } |
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| 136 | |
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| 137 | /** |
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| 138 | * Returns a string describing the matrix. |
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| 139 | * |
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| 140 | * @return a description suitable for |
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| 141 | * displaying in the experimenter gui |
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| 142 | */ |
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| 143 | public String globalInfo() { |
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| 144 | return "Generates the output as plain text (for fixed width fonts)."; |
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| 145 | } |
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| 146 | |
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| 147 | /** |
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| 148 | * returns the name of the output format. |
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| 149 | * |
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| 150 | * @return the display name |
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| 151 | */ |
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| 152 | public String getDisplayName() { |
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| 153 | return "Plain Text"; |
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| 154 | } |
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| 155 | |
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| 156 | /** |
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| 157 | * returns the default width for the row names. |
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| 158 | * |
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| 159 | * @return the width |
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| 160 | */ |
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| 161 | public int getDefaultRowNameWidth() { |
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| 162 | return 25; |
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| 163 | } |
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| 164 | |
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| 165 | /** |
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| 166 | * returns the default width for the counts. |
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| 167 | * |
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| 168 | * @return the width |
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| 169 | */ |
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| 170 | public int getDefaultCountWidth() { |
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| 171 | return 5; |
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| 172 | } |
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| 173 | |
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| 174 | /** |
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| 175 | * returns the header of the matrix as a string. |
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| 176 | * |
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| 177 | * @return the header |
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| 178 | * @see #m_HeaderKeys |
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| 179 | * @see #m_HeaderValues |
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| 180 | */ |
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| 181 | public String toStringHeader() { |
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| 182 | int i; |
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| 183 | int size; |
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| 184 | String[][] data; |
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| 185 | String result; |
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| 186 | |
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| 187 | result = ""; |
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| 188 | |
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| 189 | // fill in data |
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| 190 | data = new String[m_HeaderKeys.size()][2]; |
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| 191 | for (i = 0; i < m_HeaderKeys.size(); i++) { |
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| 192 | data[i][0] = m_HeaderKeys.get(i).toString() + ":"; |
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| 193 | data[i][1] = m_HeaderValues.get(i).toString(); |
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| 194 | } |
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| 195 | |
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| 196 | // pad |
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| 197 | size = getColSize(data, 0); |
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| 198 | for (i = 0; i < data.length; i++) |
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| 199 | data[i][0] = padString(data[i][0], size); |
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| 200 | |
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| 201 | // build result |
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| 202 | for (i = 0; i < data.length; i++) |
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| 203 | result += data[i][0] + " " + data[i][1] + "\n"; |
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| 204 | |
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| 205 | return result; |
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| 206 | } |
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| 207 | |
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| 208 | /** |
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| 209 | * returns the matrix as plain text. |
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| 210 | * |
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| 211 | * @return the matrix |
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| 212 | */ |
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| 213 | public String toStringMatrix() { |
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| 214 | StringBuffer result; |
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| 215 | String[][] cells; |
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| 216 | int i; |
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| 217 | int j; |
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| 218 | int n; |
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| 219 | int k; |
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| 220 | int size; |
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| 221 | String line; |
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| 222 | int indexBase; |
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| 223 | int indexSecond; |
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| 224 | StringBuffer head; |
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| 225 | StringBuffer body; |
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| 226 | StringBuffer foot; |
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| 227 | int[] startMeans; |
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| 228 | int[] startSigs; |
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| 229 | int maxLength; |
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| 230 | |
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| 231 | result = new StringBuffer(); |
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| 232 | head = new StringBuffer(); |
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| 233 | body = new StringBuffer(); |
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| 234 | foot = new StringBuffer(); |
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| 235 | cells = toArray(); |
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| 236 | startMeans = new int[getColCount()]; |
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| 237 | startSigs = new int[getColCount() - 1]; |
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| 238 | maxLength = 0; |
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| 239 | |
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| 240 | // pad numbers |
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| 241 | for (n = 1; n < cells[0].length; n++) { |
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| 242 | size = getColSize(cells, n, true, true); |
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| 243 | for (i = 1; i < cells.length - 1; i++) |
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| 244 | cells[i][n] = padString(cells[i][n], size, true); |
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| 245 | } |
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| 246 | |
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| 247 | // index of base column in array |
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| 248 | indexBase = 1; |
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| 249 | if (getShowStdDev()) |
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| 250 | indexBase++; |
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| 251 | |
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| 252 | // index of second column in array |
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| 253 | indexSecond = indexBase + 1; |
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| 254 | if (getShowStdDev()) |
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| 255 | indexSecond++; |
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| 256 | |
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| 257 | // output data (without "(v/ /*)") |
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| 258 | j = 0; |
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| 259 | k = 0; |
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| 260 | for (i = 1; i < cells.length - 1; i++) { |
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| 261 | if (isAverage(i)) |
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| 262 | body.append(padString("", maxLength).replaceAll(".", "-") + "\n"); |
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| 263 | line = ""; |
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| 264 | |
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| 265 | for (n = 0; n < cells[0].length; n++) { |
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| 266 | // record starts |
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| 267 | if (i == 1) { |
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| 268 | if (isMean(n)) { |
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| 269 | startMeans[j] = line.length(); |
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| 270 | j++; |
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| 271 | } |
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| 272 | |
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| 273 | if (isSignificance(n)) { |
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| 274 | startSigs[k] = line.length(); |
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| 275 | k++; |
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| 276 | } |
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| 277 | } |
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| 278 | |
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| 279 | if (n == 0) { |
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| 280 | line += padString(cells[i][n], getRowNameWidth()); |
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| 281 | if (!isAverage(i)) |
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| 282 | line += padString("(" + |
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| 283 | Utils.doubleToString(getCount(getDisplayRow(i-1)), 0) + ")", |
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| 284 | getCountWidth(), true); |
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| 285 | else |
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| 286 | line += padString("", getCountWidth(), true); |
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| 287 | } |
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| 288 | else { |
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| 289 | // additional space before means |
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| 290 | if (isMean(n)) |
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| 291 | line += " "; |
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| 292 | |
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| 293 | // print cell |
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| 294 | if (getShowStdDev()) { |
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| 295 | if (isMean(n - 1)) { |
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| 296 | if (!cells[i][n].trim().equals("")) |
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| 297 | line += "(" + cells[i][n] + ")"; |
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| 298 | else |
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| 299 | line += " " + cells[i][n] + " "; |
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| 300 | } |
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| 301 | else |
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| 302 | line += " " + cells[i][n]; |
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| 303 | } |
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| 304 | else { |
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| 305 | line += " " + cells[i][n]; |
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| 306 | } |
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| 307 | } |
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| 308 | |
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| 309 | // add separator after base column |
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| 310 | if (n == indexBase) |
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| 311 | line += " |"; |
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| 312 | } |
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| 313 | |
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| 314 | // record overall length |
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| 315 | if (i == 1) |
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| 316 | maxLength = line.length(); |
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| 317 | |
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| 318 | body.append(line + "\n"); |
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| 319 | } |
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| 320 | |
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| 321 | // column names |
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| 322 | line = padString(cells[0][0], startMeans[0]); |
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| 323 | i = -1; |
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| 324 | for (n = 1; n < cells[0].length; n++) { |
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| 325 | if (isMean(n)) { |
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| 326 | i++; |
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| 327 | |
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| 328 | if (i == 0) |
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| 329 | line = padString(line, startMeans[i] - getCountWidth()); |
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| 330 | else if (i == 1) |
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| 331 | line = padString(line, startMeans[i] - " |".length()); |
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| 332 | else if (i > 1) |
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| 333 | line = padString(line, startMeans[i]); |
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| 334 | |
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| 335 | if (i == 1) |
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| 336 | line += " |"; |
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| 337 | |
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| 338 | line += " " + cells[0][n]; |
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| 339 | } |
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| 340 | } |
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| 341 | line = padString(line, maxLength); |
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| 342 | head.append(line + "\n"); |
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| 343 | head.append(line.replaceAll(".", "-") + "\n"); |
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| 344 | body.append(line.replaceAll(".", "-") + "\n"); |
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| 345 | |
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| 346 | // output wins/losses/ties |
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| 347 | if (getColCount() > 1) { |
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| 348 | line = padString(cells[cells.length - 1][0], startMeans[1]-2, true) + " |"; |
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| 349 | i = 0; |
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| 350 | for (n = 1; n < cells[cells.length - 1].length; n++) { |
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| 351 | if (isSignificance(n)) { |
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| 352 | line = padString( |
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| 353 | line, startSigs[i] + 1 - cells[cells.length - 1][n].length()); |
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| 354 | line += " " + cells[cells.length - 1][n]; |
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| 355 | i++; |
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| 356 | } |
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| 357 | } |
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| 358 | line = padString(line, maxLength); |
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| 359 | } |
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| 360 | else { |
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| 361 | line = padString(cells[cells.length - 1][0], line.length() - 2) + " |"; |
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| 362 | } |
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| 363 | foot.append(line + "\n"); |
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| 364 | |
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| 365 | // assemble output |
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| 366 | result.append(head.toString()); |
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| 367 | result.append(body.toString()); |
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| 368 | result.append(foot.toString()); |
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| 369 | |
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| 370 | return result.toString(); |
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| 371 | } |
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| 372 | |
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| 373 | /** |
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| 374 | * returns returns a key for all the col names, for better readability if |
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| 375 | * the names got cut off. |
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| 376 | * |
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| 377 | * @return the key |
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| 378 | */ |
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| 379 | public String toStringKey() { |
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| 380 | String result; |
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| 381 | int i; |
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| 382 | |
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| 383 | result = "Key:\n"; |
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| 384 | for (i = 0; i < getColCount(); i++) { |
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| 385 | if (getColHidden(i)) |
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| 386 | continue; |
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| 387 | |
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| 388 | result += LEFT_PARENTHESES + (i+1) + RIGHT_PARENTHESES |
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| 389 | + " " + removeFilterName(m_ColNames[i]) + "\n"; |
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| 390 | } |
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| 391 | |
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| 392 | return result; |
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| 393 | } |
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| 394 | |
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| 395 | /** |
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| 396 | * returns the summary as string. |
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| 397 | * |
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| 398 | * @return the summary |
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| 399 | */ |
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| 400 | public String toStringSummary() { |
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| 401 | String result; |
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| 402 | String titles; |
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| 403 | int resultsetLength; |
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| 404 | int i; |
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| 405 | int j; |
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| 406 | |
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| 407 | if (m_NonSigWins == null) |
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| 408 | return "-summary data not set-"; |
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| 409 | |
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| 410 | result = ""; |
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| 411 | titles = ""; |
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| 412 | resultsetLength = 1 + Math.max((int)(Math.log(getColCount())/Math.log(10)), |
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| 413 | (int)(Math.log(getRowCount())/Math.log(10))); |
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| 414 | |
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| 415 | for (i = 0; i < getColCount(); i++) { |
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| 416 | if (getColHidden(i)) |
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| 417 | continue; |
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| 418 | titles += " " + Utils.padLeft("" + getSummaryTitle(i), |
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| 419 | resultsetLength * 2 + 3); |
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| 420 | } |
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| 421 | result += titles + " (No. of datasets where [col] >> [row])\n"; |
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| 422 | |
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| 423 | for (i = 0; i < getColCount(); i++) { |
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| 424 | if (getColHidden(i)) |
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| 425 | continue; |
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| 426 | |
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| 427 | for (j = 0; j < getColCount(); j++) { |
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| 428 | if (getColHidden(j)) |
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| 429 | continue; |
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| 430 | |
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| 431 | result += " "; |
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| 432 | if (j == i) |
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| 433 | result += Utils.padLeft("-", resultsetLength * 2 + 3); |
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| 434 | else |
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| 435 | result += Utils.padLeft("" + m_NonSigWins[i][j] |
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| 436 | + " (" + m_Wins[i][j] + ")", |
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| 437 | resultsetLength * 2 + 3); |
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| 438 | } |
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| 439 | |
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| 440 | result += " | " + getSummaryTitle(i) + " = " + getColName(i) + '\n'; |
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| 441 | } |
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| 442 | |
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| 443 | return result; |
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| 444 | } |
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| 445 | |
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| 446 | /** |
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| 447 | * returns the ranking in a string representation. |
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| 448 | * |
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| 449 | * @return the ranking |
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| 450 | */ |
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| 451 | public String toStringRanking() { |
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| 452 | int biggest; |
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| 453 | int width; |
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| 454 | String result; |
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| 455 | int[] ranking; |
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| 456 | int i; |
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| 457 | int curr; |
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| 458 | |
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| 459 | if (m_RankingWins == null) |
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| 460 | return "-ranking data not set-"; |
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| 461 | |
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| 462 | biggest = Math.max(m_RankingWins[Utils.maxIndex(m_RankingWins)], |
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| 463 | m_RankingLosses[Utils.maxIndex(m_RankingLosses)]); |
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| 464 | width = Math.max(2 + (int)(Math.log(biggest) / Math.log(10)), |
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| 465 | ">-<".length()); |
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| 466 | result = Utils.padLeft(">-<", width) + ' ' |
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| 467 | + Utils.padLeft(">", width) + ' ' |
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| 468 | + Utils.padLeft("<", width) + " Resultset\n"; |
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| 469 | |
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| 470 | ranking = Utils.sort(m_RankingDiff); |
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| 471 | |
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| 472 | for (i = getColCount() - 1; i >= 0; i--) { |
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| 473 | curr = ranking[i]; |
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| 474 | |
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| 475 | if (getColHidden(curr)) |
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| 476 | continue; |
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| 477 | |
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| 478 | result += Utils.padLeft("" + m_RankingDiff[curr], width) + ' ' |
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| 479 | + Utils.padLeft("" + m_RankingWins[curr], width) + ' ' |
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| 480 | + Utils.padLeft("" + m_RankingLosses[curr], width) + ' ' |
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| 481 | + removeFilterName(m_ColNames[curr]) + '\n'; |
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| 482 | } |
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| 483 | |
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| 484 | return result; |
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| 485 | } |
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| 486 | |
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| 487 | /** |
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| 488 | * Returns the revision string. |
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| 489 | * |
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| 490 | * @return the revision |
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| 491 | */ |
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| 492 | public String getRevision() { |
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| 493 | return RevisionUtils.extract("$Revision: 5346 $"); |
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| 494 | } |
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| 495 | |
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| 496 | /** |
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| 497 | * for testing only. |
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| 498 | * |
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| 499 | * @param args ignored |
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| 500 | */ |
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| 501 | public static void main(String[] args) { |
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| 502 | ResultMatrix matrix; |
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| 503 | int i; |
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| 504 | int n; |
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| 505 | |
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| 506 | matrix = new ResultMatrixPlainText(3, 3); |
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| 507 | |
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| 508 | // set header |
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| 509 | matrix.addHeader("header1", "value1"); |
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| 510 | matrix.addHeader("header2", "value2"); |
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| 511 | matrix.addHeader("header2", "value3"); |
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| 512 | |
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| 513 | // set values |
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| 514 | for (i = 0; i < matrix.getRowCount(); i++) { |
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| 515 | for (n = 0; n < matrix.getColCount(); n++) { |
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| 516 | matrix.setMean(n, i, (i+1)*n); |
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| 517 | matrix.setStdDev(n, i, ((double) (i+1)*n) / 100); |
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| 518 | if (i == n) { |
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| 519 | if (i % 2 == 1) |
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| 520 | matrix.setSignificance(n, i, SIGNIFICANCE_WIN); |
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| 521 | else |
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| 522 | matrix.setSignificance(n, i, SIGNIFICANCE_LOSS); |
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| 523 | } |
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| 524 | } |
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| 525 | } |
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| 526 | |
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| 527 | System.out.println("\n\n--> " + matrix.getDisplayName()); |
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| 528 | |
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| 529 | System.out.println("\n1. complete\n"); |
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| 530 | System.out.println(matrix.toStringHeader() + "\n"); |
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| 531 | System.out.println(matrix.toStringMatrix() + "\n"); |
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| 532 | System.out.println(matrix.toStringKey()); |
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| 533 | |
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| 534 | System.out.println("\n2. complete with std deviations\n"); |
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| 535 | matrix.setShowStdDev(true); |
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| 536 | System.out.println(matrix.toStringMatrix()); |
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| 537 | |
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| 538 | System.out.println("\n3. cols numbered\n"); |
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| 539 | matrix.setPrintColNames(false); |
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| 540 | System.out.println(matrix.toStringMatrix()); |
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| 541 | |
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| 542 | System.out.println("\n4. second col missing\n"); |
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| 543 | matrix.setColHidden(1, true); |
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| 544 | System.out.println(matrix.toStringMatrix()); |
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| 545 | |
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| 546 | System.out.println("\n5. last row missing, rows numbered too\n"); |
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| 547 | matrix.setRowHidden(2, true); |
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| 548 | matrix.setPrintRowNames(false); |
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| 549 | System.out.println(matrix.toStringMatrix()); |
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| 550 | |
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| 551 | System.out.println("\n6. mean prec to 3\n"); |
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| 552 | matrix.setMeanPrec(3); |
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| 553 | matrix.setPrintRowNames(false); |
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| 554 | System.out.println(matrix.toStringMatrix()); |
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| 555 | } |
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| 556 | } |
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