/* * #%L * gitools-core * %% * Copyright (C) 2013 Universitat Pompeu Fabra - Biomedical Genomics group * %% * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as * published by the Free Software Foundation, either version 3 of the * License, or (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public * License along with this program. If not, see * <http://www.gnu.org/licenses/gpl-3.0.html>. * #L% */ package org.gitools.analysis.stats.test.results; import org.gitools.matrix.model.matrix.element.LayerDef; public class GroupComparisonResult extends CommonResult { private int N_group1; private int N_group2; private double mean1; private double mean2; private double U1; private double U2; private double pValueLogSum; public GroupComparisonResult() { super(0, 0.0, 0.0, 0.0); } public GroupComparisonResult(int N, int N_group1, int N_group2, double leftPvalue, double rightPvalue, double twoTailPvalue, double mean1, double mean2, double U1, double U2) { super(N, leftPvalue, rightPvalue, twoTailPvalue); this.N_group1 = N_group1; this.N_group2 = N_group2; this.mean1 = mean1; this.mean2 = mean2; this.U1 = U1; this.U2 = U2; pValueLogSum = Math.log10(leftPvalue) - Math.log10(rightPvalue); } @LayerDef(id = "N-group1", name = "N Group 1", description = "Number of elements in Group 1", groups = {SimpleResult.TEST_DETAILS_GROUP, LayerDef.ALL_DATA_GROUP}) public int getN_group1() { return N_group1; } public void setN_group1(int N_group1) { this.N_group1 = N_group1; } @LayerDef(id = "N-group2", name = "N Group 2", description = "Number of elements in Group 2", groups = {SimpleResult.TEST_DETAILS_GROUP, LayerDef.ALL_DATA_GROUP}) public int getN_group2() { return N_group2; } public void setN_group2(int N_group2) { this.N_group2 = N_group2; } @LayerDef(id = "p-value-log-sum", name = "P-Value Log Sum", description = "Score combining left and right p-values.", groups = {SimpleResult.RESULTS_GROUP, SimpleResult.CORRECTED_RESULTS_GROUP, LayerDef.ALL_DATA_GROUP}) public double getpValueLogSum() { return pValueLogSum; } public void setpValueLogSum(double pValueLogSum) { this.pValueLogSum = pValueLogSum; } @LayerDef(id = "mean-group1", name = "Mean Group 1", description = "Mean of elements in group 1", groups = {SimpleResult.TEST_DETAILS_GROUP, LayerDef.ALL_DATA_GROUP}) public double getMean1() { return mean1; } public void setMean1(double mean1) { this.mean1 = mean1; } @LayerDef(id = "mean-group2", name = "Mean Group 2", description = "Mean of elements in group 2", groups = {SimpleResult.TEST_DETAILS_GROUP, LayerDef.ALL_DATA_GROUP}) public double getMean2() { return mean2; } public void setMean2(double mean2) { this.mean2 = mean2; } @LayerDef(id = "U1", name = "U1", description = "Mann–Whitney U1 statistic used to calculate one-sided alternative 'less'", groups = {SimpleResult.TEST_DETAILS_GROUP, LayerDef.ALL_DATA_GROUP}) public double getU1() { return U1; } public void setU1(double u1) { U1 = u1; } @LayerDef(id = "U2", name = "U2", description = "Mann–Whitney U2 statistic used to calculate one-sided alternative 'greater'", groups = {SimpleResult.TEST_DETAILS_GROUP, LayerDef.ALL_DATA_GROUP}) public double getU2() { return U2; } public void setU2(double u2) { U2 = u2; } }