mirror of
https://github.com/jkriege2/JKQtPlotter.git
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238 lines
14 KiB
C++
238 lines
14 KiB
C++
/*
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Copyright (c) 2008-2022 Jan W. Krieger (<jan@jkrieger.de>)
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last modification: $LastChangedDate$ (revision $Rev$)
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This software is free software: you can redistribute it and/or modify
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it under the terms of the GNU Lesser General Public License (LGPL) as published by
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the Free Software Foundation, either version 2.1 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU Lesser General Public License (LGPL) for more details.
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You should have received a copy of the GNU Lesser General Public License (LGPL)
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along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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#ifndef JKQTPSTATGROUPED_H_INCLUDED
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#define JKQTPSTATGROUPED_H_INCLUDED
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#include <stdint.h>
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#include <cmath>
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#include <stdlib.h>
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#include <string.h>
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#include <iostream>
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#include <stdio.h>
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#include <limits>
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#include <vector>
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#include <utility>
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#include <cfloat>
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#include <ostream>
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#include <iomanip>
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#include <sstream>
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#include "jkqtcommon_statistics_and_math/jkqtcommon_statistics_and_math_imexport.h"
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#include "jkqtcommon_statistics_and_math/jkqtplinalgtools.h"
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#include "jkqtcommon_statistics_and_math/jkqtparraytools.h"
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#include "jkqtcommon/jkqtpdebuggingtools.h"
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#include "jkqtcommon_statistics_and_math/jkqtpstatbasics.h"
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/*! \brief a functor \f$ f(x): \mathbb{R}\rightarrow\mathbb{R} \f$ which assignes a value \f$ x \f$ to a group center \f$ f(x) \f$
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\ingroup jkqtptools_math_statistics_grouped
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The simplest version are e.g.
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- jkqtpstatGroupingIdentity1D()
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- jkqtpstatGroupingRound1D()
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- jkqtpstatGroupingCustomRound1D()
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.
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\see jkqtpstatGroupData
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*/
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typedef std::function<double(double)> JKQTPStatGroupDefinitionFunctor1D;
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/*! \brief use a column value as group ID directly
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\ingroup jkqtptools_math_statistics_grouped
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\see JKQTPStatGroupDefinitionFunctor1D
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*/
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JKQTCOMMON_STATISTICS_AND_MATH_LIB_EXPORT double jkqtpstatGroupingIdentity1D(double v);
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/*! \brief use a rounded column value as group ID directly \f$ f(x)=\mbox{round}(x) \f$
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\ingroup jkqtptools_math_statistics_grouped
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\see JKQTPStatGroupDefinitionFunctor1D
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*/
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JKQTCOMMON_STATISTICS_AND_MATH_LIB_EXPORT double jkqtpstatGroupingRound1D(double v);
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/*! \brief assign each value to groups \f$ \mbox{firstGroupCenter} \f$ , \f$ \mbox{firstGroupCenter}\pm\mbox{groupWidth}/2\f$ , \f$ \mbox{firstGroupCenter}\pm2\cdot\mbox{groupWidth}/2 \f$ , \f$ \mbox{firstGroupCenter}\pm3\cdot\mbox{groupWidth}/2 \f$ , ...
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\ingroup jkqtptools_math_statistics_grouped
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This is equivalent to \f$ \mbox{round}\left(\frac{x-\mbox{firstGroupCenter}}{\mbox{groupWidth}/2}\right) \f$
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\see JKQTPStatGroupDefinitionFunctor1D, jkqtpstatMakeGroupingCustomRound1D() for a factory-function that returns a functor of this function bound to specific arguments.
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*/
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JKQTCOMMON_STATISTICS_AND_MATH_LIB_EXPORT double jkqtpstatGroupingCustomRound1D(double v, double firstGroupCenter, double groupWidth);
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/*! \brief generates a functor of jkqtpstatGroupingCustomRound1D() with the two paramaters \a firstGroupCenter and \a groupWidth fixed to the given values
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\ingroup jkqtptools_math_statistics_grouped
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This is equivalent to \c std::bind(&jkqtpstatGroupingCustomRound1D,std::placeholders::_1,firstGroupCenter,groupWidth);
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\see JKQTPStatGroupDefinitionFunctor1D, jkqtpstatGroupingCustomRound1D()
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*/
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JKQTCOMMON_STATISTICS_AND_MATH_LIB_EXPORT JKQTPStatGroupDefinitionFunctor1D jkqtpstatMakeGroupingCustomRound1D(double firstGroupCenter, double groupWidth);
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/*! \brief groups data from an input range \a inFirstCat / \a inFirstValue ... \a inLastCat / \a outFirstCat representing pairs \f$ (c_i,v_i) \f$ of a
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category value \f$ c_i \f$ and a group value \f$ v_i \f$ into groups \f$ V_j=\{v_{i}|c_i\equiv c_{\text{out},j}\} \f$ of data that were assigned
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to the same group, i.e. \f$ c_i\equiv c_{\text{out},j} \f$ . A functor \a groupDefFunc assigns a group \f$ c_{\text{out},j} \f$ to each category value \f$ c_i \f$ .
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\ingroup jkqtptools_math_statistics_grouped
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\tparam InputCatIt standard iterator type of \a inFirstCat and \a inLastCat
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\tparam InputValueIt standard iterator type of \a inFirstValue and \a inLastValue
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\param inFirstCat iterator pointing to the first item in the category dataset to use \f$ c_1 \f$
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\param inLastCat iterator pointing behind the last item in the category dataset to use \f$ c_N \f$
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\param inFirstValue iterator pointing to the first item in the category dataset to use \f$ v_1 \f$
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\param inLastValue iterator pointing behind the last item in the category dataset to use \f$ v_N \f$
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\param[out] groupeddata receives the grouped data, each key in the map represents one group, each map-value contains a vector with the value data
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\param groupDefFunc assigns a group \f$ c_{\text{out},j} \f$ to each category value \f$ c_i \f$ .
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\note the contents of \a groupeddata is not cleared before usage, so you can also use this fucntion to append to a group!
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\see JKQTPStatGroupDefinitionFunctor1D, \ref JKQTPlotterBasicJKQTPDatastoreStatisticsGroupedStat
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*/
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template <class InputCatIt, class InputValueIt>
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inline void jkqtpstatGroupData(InputCatIt inFirstCat, InputCatIt inLastCat, InputValueIt inFirstValue, InputValueIt inLastValue, std::map<double, std::vector<double> >& groupeddata, JKQTPStatGroupDefinitionFunctor1D groupDefFunc=&jkqtpstatGroupingIdentity1D) {
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auto inCat=inFirstCat;
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auto inVal=inFirstValue;
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for (; inCat!=inLastCat && inVal!=inLastValue; ++inCat, ++inVal) {
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const double c=jkqtp_todouble(*inCat);
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const double v=jkqtp_todouble(*inVal);
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if (JKQTPIsOKFloat(c) && JKQTPIsOKFloat(v)) {
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const double g=groupDefFunc(c);
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groupeddata[g].push_back(v);
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}
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}
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}
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/*! \brief groups data from an input range \a inFirstCat / \a inFirstValue ... \a inLastCat / \a outFirstCat representing pairs \f$ (c_i,v_i) \f$ of a
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category value \f$ c_i \f$ and a group value \f$ v_i \f$ into groups \f$ V_j=\{v_{i}|c_i\equiv c_{\text{out},j}\} \f$ of data that were assigned
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to the same group, i.e. \f$ c_i\equiv c_{\text{out},j} \f$ . A functor \a groupDefFunc assigns a group \f$ c_{\text{out},j} \f$ to each category value \f$ c_i \f$ .
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\ingroup jkqtptools_math_statistics_grouped
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\tparam InputCatIt standard iterator type of \a inFirstCat and \a inLastCat
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\tparam InputValueIt standard iterator type of \a inFirstValue and \a inLastValue
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\tparam OutputGroupIt standard output iterator type of \a outFirstCategory
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\param inFirstCat iterator pointing to the first item in the category dataset to use \f$ c_1 \f$
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\param inLastCat iterator pointing behind the last item in the category dataset to use \f$ c_N \f$
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\param inFirstValue iterator pointing to the first item in the category dataset to use \f$ v_1 \f$
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\param inLastValue iterator pointing behind the last item in the category dataset to use \f$ v_N \f$
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\param[out] outFirstCategory for each element in the range \a inFirstCat / \a inFirstValue ... \a inLastCat / \a outFirstCat this receives the calculated category
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\param[out] groupeddata receives the grouped data, each key in the map represents one group, each map-value contains a vector with the value data
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\param groupDefFunc assigns a group \f$ c_{\text{out},j} \f$ to each category value \f$ c_i \f$ .
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\note the contents of \a groupeddata is not cleared before usage, so you can also use this fucntion to append to a group!
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\see JKQTPStatGroupDefinitionFunctor1D, \ref JKQTPlotterBasicJKQTPDatastoreStatisticsGroupedStat
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*/
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template <class InputCatIt, class InputValueIt, class OutputGroupIt>
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inline void jkqtpstatGroupData(InputCatIt inFirstCat, InputCatIt inLastCat, InputValueIt inFirstValue, InputValueIt inLastValue, OutputGroupIt outFirstCategory, std::map<double, std::vector<double> >& groupeddata, JKQTPStatGroupDefinitionFunctor1D groupDefFunc=&jkqtpstatGroupingIdentity1D) {
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auto inCat=inFirstCat;
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auto inVal=inFirstValue;
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auto outCat=outFirstCategory;
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for (; inCat!=inLastCat && inVal!=inLastValue; ++inCat, ++inVal) {
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const double c=jkqtp_todouble(*inCat);
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const double v=jkqtp_todouble(*inVal);
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if (JKQTPIsOKFloat(c) && JKQTPIsOKFloat(v)) {
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const double g=groupDefFunc(c);
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groupeddata[g].push_back(v);
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*outCat=g;
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} else {
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*outCat=JKQTP_DOUBLE_NAN;
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}
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++outCat;
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}
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}
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/*! \brief groups data from an input range \a inFirstCat / \a inFirstValue ... \a inLastCat / \a outFirstCat representing pairs \f$ (c_i,v_i) \f$ of a
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category value \f$ c_i \f$ and a group value \f$ v_i \f$ into groups \f$ V_j=\{v_{i}|c_i\equiv c_{\text{out},j}\} \f$ of data that were assigned
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to the same group, i.e. \f$ c_i\equiv c_{\text{out},j} \f$ . A functor \a groupDefFunc assigns a group \f$ c_{\text{out},j} \f$ to each category value \f$ c_i \f$ .
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\ingroup jkqtptools_math_statistics_grouped
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\tparam InputCatIt standard iterator type of \a inFirstCat and \a inLastCat
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\tparam InputValueIt standard iterator type of \a inFirstValue and \a inLastValue
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\param inFirstCat iterator pointing to the first item in the category dataset to use \f$ c_1 \f$
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\param inLastCat iterator pointing behind the last item in the category dataset to use \f$ c_N \f$
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\param inFirstValue iterator pointing to the first item in the category dataset to use \f$ v_1 \f$
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\param inLastValue iterator pointing behind the last item in the category dataset to use \f$ v_N \f$
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\param[out] groupeddata receives the grouped data, each key in the map represents one group, each map-value contains two vecors with the category and value data respectively
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\param groupDefFunc assigns a group \f$ c_{\text{out},j} \f$ to each category value \f$ c_i \f$ .
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\note the contents of \a groupeddata is not cleared before usage, so you can also use this fucntion to append to a group!
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\see JKQTPStatGroupDefinitionFunctor1D, \ref JKQTPlotterBasicJKQTPDatastoreStatisticsGroupedStat
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*/
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template <class InputCatIt, class InputValueIt>
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inline void jkqtpstatGroupData(InputCatIt inFirstCat, InputCatIt inLastCat, InputValueIt inFirstValue, InputValueIt inLastValue, std::map<double, std::pair<std::vector<double>,std::vector<double> > >& groupeddata, JKQTPStatGroupDefinitionFunctor1D groupDefFunc=&jkqtpstatGroupingIdentity1D) {
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auto inCat=inFirstCat;
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auto inVal=inFirstValue;
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for (; inCat!=inLastCat && inVal!=inLastValue; ++inCat, ++inVal) {
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const double c=jkqtp_todouble(*inCat);
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const double v=jkqtp_todouble(*inVal);
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if (JKQTPIsOKFloat(c) && JKQTPIsOKFloat(v)) {
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const double g=groupDefFunc(c);
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groupeddata[g].first.push_back(c);
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groupeddata[g].second.push_back(v);
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}
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}
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}
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/*! \brief groups data from an input range \a inFirstCat / \a inFirstValue ... \a inLastCat / \a outFirstCat representing pairs \f$ (c_i,v_i) \f$ of a
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category value \f$ c_i \f$ and a group value \f$ v_i \f$ into groups \f$ V_j=\{v_{i}|c_i\equiv c_{\text{out},j}\} \f$ of data that were assigned
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to the same group, i.e. \f$ c_i\equiv c_{\text{out},j} \f$ . A functor \a groupDefFunc assigns a group \f$ c_{\text{out},j} \f$ to each category value \f$ c_i \f$ .
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\ingroup jkqtptools_math_statistics_grouped
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\tparam InputCatIt standard iterator type of \a inFirstCat and \a inLastCat
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\tparam InputValueIt standard iterator type of \a inFirstValue and \a inLastValue
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\tparam OutputGroupIt standard output iterator type of \a outFirstCategory
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\param inFirstCat iterator pointing to the first item in the category dataset to use \f$ c_1 \f$
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\param inLastCat iterator pointing behind the last item in the category dataset to use \f$ c_N \f$
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\param inFirstValue iterator pointing to the first item in the category dataset to use \f$ v_1 \f$
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\param inLastValue iterator pointing behind the last item in the category dataset to use \f$ v_N \f$
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\param[out] outFirstCategory for each element in the range \a inFirstCat / \a inFirstValue ... \a inLastCat / \a outFirstCat this receives the calculated category
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\param[out] groupeddata receives the grouped data, each key in the map represents one group, each map-value contains two vecors with the category and value data respectively
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\param groupDefFunc assigns a group \f$ c_{\text{out},j} \f$ to each category value \f$ c_i \f$ .
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\note the contents of \a groupeddata is not cleared before usage, so you can also use this fucntion to append to a group!
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\see JKQTPStatGroupDefinitionFunctor1D, \ref JKQTPlotterBasicJKQTPDatastoreStatisticsGroupedStat
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*/
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template <class InputCatIt, class InputValueIt, class OutputGroupIt>
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inline void jkqtpstatGroupData(InputCatIt inFirstCat, InputCatIt inLastCat, InputValueIt inFirstValue, InputValueIt inLastValue, OutputGroupIt outFirstCategory, std::map<double, std::pair<std::vector<double>,std::vector<double> > >& groupeddata, JKQTPStatGroupDefinitionFunctor1D groupDefFunc=&jkqtpstatGroupingIdentity1D) {
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auto inCat=inFirstCat;
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auto inVal=inFirstValue;
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auto outCat=outFirstCategory;
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for (; inCat!=inLastCat && inVal!=inLastValue; ++inCat, ++inVal) {
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const double c=jkqtp_todouble(*inCat);
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const double v=jkqtp_todouble(*inVal);
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if (JKQTPIsOKFloat(c) && JKQTPIsOKFloat(v)) {
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const double g=groupDefFunc(c);
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groupeddata[g].first.push_back(c);
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groupeddata[g].second.push_back(v);
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*outCat=g;
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} else {
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*outCat=JKQTP_DOUBLE_NAN;
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}
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++outCat;
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}
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}
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#endif // JKQTPSTATGROUPED_H_INCLUDED
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