1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139
|
/*LICENSE_START*/
/*
* Copyright 1995-2002 Washington University School of Medicine
*
* http://brainmap.wustl.edu
*
* This file is part of CARET.
*
* CARET 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 2 of the License, or
* (at your option) any later version.
*
* CARET 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 CARET; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
*/
/*LICENSE_END*/
#include "CommandMetricStatisticsShuffledTMap.h"
#include "FileFilters.h"
#include "MetricFile.h"
#include "ProgramParameters.h"
#include "ScriptBuilderParameters.h"
#include "TopologyFile.h"
/**
* constructor.
*/
CommandMetricStatisticsShuffledTMap::CommandMetricStatisticsShuffledTMap()
: CommandBase("-metric-statistics-shuffled-t-map",
"METRIC STATISTICS SHUFFLED T-MAP")
{
}
/**
* destructor.
*/
CommandMetricStatisticsShuffledTMap::~CommandMetricStatisticsShuffledTMap()
{
}
/**
* get the script builder parameters.
*/
void
CommandMetricStatisticsShuffledTMap::getScriptBuilderParameters(ScriptBuilderParameters& paramsOut) const
{
paramsOut.clear();
paramsOut.addFile("Input Metric File Name", FileFilters::getMetricShapeFileFilter());
paramsOut.addFile("Output Metric File Name", FileFilters::getMetricShapeFileFilter());
paramsOut.addFile("Topology File Name", FileFilters::getTopologyGenericFileFilter());
paramsOut.addInt("Iterations");
paramsOut.addInt("Number in First Group");
paramsOut.addInt("Variance Smoothing Iterations");
paramsOut.addFloat("Variance Smoothing Strength");
paramsOut.addBoolean("Pool Variance Flag");
}
/**
* get full help information.
*/
QString
CommandMetricStatisticsShuffledTMap::getHelpInformation() const
{
QString helpInfo =
(indent3 + getShortDescription() + "\n"
+ indent6 + parameters->getProgramNameWithoutPath() + " " + getOperationSwitch() + " \n"
+ indent9 + "<input-metric-file-name>\n"
+ indent9 + "<output-metric-file-name>\n"
+ indent9 + "<topology-file-name>\n"
+ indent9 + "<iterations>\n"
+ indent9 + "<number-in-first-group>\n"
+ indent9 + "<variance-smoothing-iterations>\n"
+ indent9 + "<variance-smoothing-strength>\n"
+ indent9 + "<pool-the-variance-flag>\n"
+ indent9 + "\n"
+ indent9 + "Computed a T-Map on shuffled columns split into two groups.\n"
+ indent9 + "If the number in the first group is negative or zero, the\n"
+ indent9 + "columns are split into two groups of the same size.\n"
+ indent9 + "\n");
return helpInfo;
}
/**
* execute the command.
*/
void
CommandMetricStatisticsShuffledTMap::executeCommand() throw (BrainModelAlgorithmException,
CommandException,
FileException,
ProgramParametersException,
StatisticException)
{
const QString inputMetricFileName =
parameters->getNextParameterAsString("Input Metric File Name");
const QString outputMetricFileName =
parameters->getNextParameterAsString("Output Metric File Name");
const QString topologyFileName =
parameters->getNextParameterAsString("Topology File Name");
const int iterations =
parameters->getNextParameterAsInt("Iterations");
const int numberInFirstGroup =
parameters->getNextParameterAsInt("Number in First Group");
const int varianceSmoothingIterations =
parameters->getNextParameterAsInt("Variance Smoothing Iterations");
const float varianceSmoothingStrength =
parameters->getNextParameterAsFloat("Variance Smoothing Strength");
const bool poolTheVarianceFlag =
parameters->getNextParameterAsBoolean("Pool Variance Flag");
checkForExcessiveParameters();
MetricFile inputMetricFile;
inputMetricFile.readFile(inputMetricFileName);
TopologyFile topologyFile;
topologyFile.readFile(topologyFileName);
MetricFile* outputMetricFile =
inputMetricFile.computeStatisticalShuffledTMap(iterations,
numberInFirstGroup,
&topologyFile,
varianceSmoothingIterations,
varianceSmoothingStrength,
poolTheVarianceFlag);
outputMetricFile->writeFile(outputMetricFileName);
delete outputMetricFile;
}
|