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Pasar funcion c++ a otro lenguaje

Publicado por Lorenzo Martin (1 intervención) el 03/07/2020 02:20:02
Hola, no tengo experiencia en C. Necesito pasar esta funcion en C++ a una funcion del programa estadistico R.
Alguien me pidra comentar que hace cada linea, cuales son las variables y de que tipo ? Gracias !!



Female
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/*
 * Copyright 2017 ClinRisk Ltd.
 *
 * This file is part of QRISK3-2017 (https://qrisk.org).
 *
 * QRISK3-2017 is free software: you can redistribute it and/or modify
 * it under the terms of the GNU Lesser General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * QRISK3-2017 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 Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public License
 * along with QRISK3-2017.  If not, see http://www.gnu.org/licenses/.
 *
 * Additional terms
 *
 * The following disclaimer must be held together with any risk score score generated by this code.
 * If the score is displayed, then this disclaimer must be displayed or otherwise be made easily accessible, e.g. by a prominent link alongside it.
 *   The initial version of this file, to be found at http://svn.clinrisk.co.uk/opensource/qrisk2, faithfully implements QRISK3-2017.
 *   ClinRisk Ltd. have released this code under the GNU Lesser General Public License to enable others to implement the algorithm faithfully.
 *   However, the nature of the GNU Lesser General Public License is such that we cannot prevent, for example, someone accidentally
 *   altering the coefficients, getting the inputs wrong, or just poor programming.
 *   ClinRisk Ltd. stress, therefore, that it is the responsibility of the end user to check that the source that they receive produces the same
 *   results as the original code found at https://qrisk.org.
 *   Inaccurate implementations of risk scores can lead to wrong patients being given the wrong treatment.
 *
 * End of additional terms
 *
 */
 
 
static double cvd_female_raw(
int age,int b_AF,int b_atypicalantipsy,int b_corticosteroids,int b_migraine,int b_ra,int b_renal,int b_semi,int b_sle,int b_treatedhyp,int b_type1,int b_type2,double bmi,int ethrisk,int fh_cvd,double rati,double sbp,double sbps5,int smoke_cat,int surv,double town
)
{
	double survivor[16] = {
		0,
		0,
		0,
		0,
		0,
		0,
		0,
		0,
		0,
		0,
		0.988876402378082,
		0,
		0,
		0,
		0,
		0
	};
 
	/* The conditional arrays */
 
	double Iethrisk[10] = {
		0,
		0,
		0.2804031433299542500000000,
		0.5629899414207539800000000,
		0.2959000085111651600000000,
		0.0727853798779825450000000,
		-0.1707213550885731700000000,
		-0.3937104331487497100000000,
		-0.3263249528353027200000000,
		-0.1712705688324178400000000
	};
	double Ismoke[5] = {
		0,
		0.1338683378654626200000000,
		0.5620085801243853700000000,
		0.6674959337750254700000000,
		0.8494817764483084700000000
	};
 
	/* Applying the fractional polynomial transforms */
	/* (which includes scaling)                      */
 
	double dage = age;
	dage=dage/10;
	double age_1 = pow(dage,-2);
	double age_2 = dage;
	double dbmi = bmi;
	dbmi=dbmi/10;
	double bmi_1 = pow(dbmi,-2);
	double bmi_2 = pow(dbmi,-2)*log(dbmi);
 
	/* Centring the continuous variables */
 
	age_1 = age_1 - 0.053274843841791;
	age_2 = age_2 - 4.332503318786621;
	bmi_1 = bmi_1 - 0.154946178197861;
	bmi_2 = bmi_2 - 0.144462317228317;
	rati = rati - 3.476326465606690;
	sbp = sbp - 123.130012512207030;
	sbps5 = sbps5 - 9.002537727355957;
	town = town - 0.392308831214905;
 
	/* Start of Sum */
	double a=0;
 
	/* The conditional sums */
 
	a += Iethrisk[ethrisk];
	a += Ismoke[smoke_cat];
 
	/* Sum from continuous values */
 
	a += age_1 * -8.1388109247726188000000000;
	a += age_2 * 0.7973337668969909800000000;
	a += bmi_1 * 0.2923609227546005200000000;
	a += bmi_2 * -4.1513300213837665000000000;
	a += rati * 0.1533803582080255400000000;
	a += sbp * 0.0131314884071034240000000;
	a += sbps5 * 0.0078894541014586095000000;
	a += town * 0.0772237905885901080000000;
 
	/* Sum from boolean values */
 
	a += b_AF * 1.5923354969269663000000000;
	a += b_atypicalantipsy * 0.2523764207011555700000000;
	a += b_corticosteroids * 0.5952072530460185100000000;
	a += b_migraine * 0.3012672608703450000000000;
	a += b_ra * 0.2136480343518194200000000;
	a += b_renal * 0.6519456949384583300000000;
	a += b_semi * 0.1255530805882017800000000;
	a += b_sle * 0.7588093865426769300000000;
	a += b_treatedhyp * 0.5093159368342300400000000;
	a += b_type1 * 1.7267977510537347000000000;
	a += b_type2 * 1.0688773244615468000000000;
	a += fh_cvd * 0.4544531902089621300000000;
 
	/* Sum from interaction terms */
 
	a += age_1 * (smoke_cat==1) * -4.7057161785851891000000000;
	a += age_1 * (smoke_cat==2) * -2.7430383403573337000000000;
	a += age_1 * (smoke_cat==3) * -0.8660808882939218200000000;
	a += age_1 * (smoke_cat==4) * 0.9024156236971064800000000;
	a += age_1 * b_AF * 19.9380348895465610000000000;
	a += age_1 * b_corticosteroids * -0.9840804523593628100000000;
	a += age_1 * b_migraine * 1.7634979587872999000000000;
	a += age_1 * b_renal * -3.5874047731694114000000000;
	a += age_1 * b_sle * 19.6903037386382920000000000;
	a += age_1* b_treatedhyp * 11.8728097339218120000000000;
	a += age_1 * b_type1 * -1.2444332714320747000000000;
	a += age_1 * b_type2 * 6.8652342000009599000000000;
	a += age_1 * bmi_1 * 23.8026234121417420000000000;
	a += age_1 * bmi_2 * -71.1849476920870070000000000;
	a += age_1 * fh_cvd * 0.9946780794043512700000000;
	a += age_1 * sbp * 0.0341318423386154850000000;
	a += age_1 * town * -1.0301180802035639000000000;
	a += age_2 * (smoke_cat==1) * -0.0755892446431930260000000;
	a += age_2 * (smoke_cat==2) * -0.1195119287486707400000000;
	a += age_2 * (smoke_cat==3) * -0.1036630639757192300000000;
	a += age_2 * (smoke_cat==4) * -0.1399185359171838900000000;
	a += age_2 * b_AF * -0.0761826510111625050000000;
	a += age_2 * b_corticosteroids * -0.1200536494674247200000000;
	a += age_2 * b_migraine * -0.0655869178986998590000000;
	a += age_2 * b_renal * -0.2268887308644250700000000;
	a += age_2 * b_sle * 0.0773479496790162730000000;
	a += age_2* b_treatedhyp * 0.0009685782358817443600000;
	a += age_2 * b_type1 * -0.2872406462448894900000000;
	a += age_2 * b_type2 * -0.0971122525906954890000000;
	a += age_2 * bmi_1 * 0.5236995893366442900000000;
	a += age_2 * bmi_2 * 0.0457441901223237590000000;
	a += age_2 * fh_cvd * -0.0768850516984230380000000;
	a += age_2 * sbp * -0.0015082501423272358000000;
	a += age_2 * town * -0.0315934146749623290000000;
 
	/* Calculate the score itself */
	double score = 100.0 * (1 - pow(survivor[surv], exp(a)) );
	return score;
}

Male
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/*
 * Copyright 2017 ClinRisk Ltd.
 *
 * This file is part of QRISK3-2017 (https://qrisk.org).
 *
 * QRISK3-2017 is free software: you can redistribute it and/or modify
 * it under the terms of the GNU Lesser General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * QRISK3-2017 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 Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public License
 * along with QRISK3-2017.  If not, see http://www.gnu.org/licenses/.
 *
 * Additional terms
 *
 * The following disclaimer must be held together with any risk score score generated by this code.
 * If the score is displayed, then this disclaimer must be displayed or otherwise be made easily accessible, e.g. by a prominent link alongside it.
 *   The initial version of this file, to be found at http://svn.clinrisk.co.uk/opensource/qrisk2, faithfully implements QRISK3-2017.
 *   ClinRisk Ltd. have released this code under the GNU Lesser General Public License to enable others to implement the algorithm faithfully.
 *   However, the nature of the GNU Lesser General Public License is such that we cannot prevent, for example, someone accidentally
 *   altering the coefficients, getting the inputs wrong, or just poor programming.
 *   ClinRisk Ltd. stress, therefore, that it is the responsibility of the end user to check that the source that they receive produces the same
 *   results as the original code found at https://qrisk.org.
 *   Inaccurate implementations of risk scores can lead to wrong patients being given the wrong treatment.
 *
 * End of additional terms
 *
 */
 
static double cvd_male_raw(
int age,int b_AF,int b_atypicalantipsy,int b_corticosteroids,int b_impotence2,int b_migraine,int b_ra,int b_renal,int b_semi,int b_sle,int b_treatedhyp,int b_type1,int b_type2,double bmi,int ethrisk,int fh_cvd,double rati,double sbp,double sbps5,int smoke_cat,int surv,double town
)
{
	double survivor[16] = {
		0,
		0,
		0,
		0,
		0,
		0,
		0,
		0,
		0,
		0,
		0.977268040180206,
		0,
		0,
		0,
		0,
		0
	};
 
	/* The conditional arrays */
 
	double Iethrisk[10] = {
		0,
		0,
		0.2771924876030827900000000,
		0.4744636071493126800000000,
		0.5296172991968937100000000,
		0.0351001591862990170000000,
		-0.3580789966932791900000000,
		-0.4005648523216514000000000,
		-0.4152279288983017300000000,
		-0.2632134813474996700000000
	};
	double Ismoke[5] = {
		0,
		0.1912822286338898300000000,
		0.5524158819264555200000000,
		0.6383505302750607200000000,
		0.7898381988185801900000000
	};
 
	/* Applying the fractional polynomial transforms */
	/* (which includes scaling)                      */
 
	double dage = age;
	dage=dage/10;
	double age_1 = pow(dage,-1);
	double age_2 = pow(dage,3);
	double dbmi = bmi;
	dbmi=dbmi/10;
	double bmi_2 = pow(dbmi,-2)*log(dbmi);
	double bmi_1 = pow(dbmi,-2);
 
	/* Centring the continuous variables */
 
	age_1 = age_1 - 0.234766781330109;
	age_2 = age_2 - 77.284080505371094;
	bmi_1 = bmi_1 - 0.149176135659218;
	bmi_2 = bmi_2 - 0.141913309693336;
	rati = rati - 4.300998687744141;
	sbp = sbp - 128.571578979492190;
	sbps5 = sbps5 - 8.756621360778809;
	town = town - 0.526304900646210;
 
	/* Start of Sum */
	double a=0;
 
	/* The conditional sums */
 
	a += Iethrisk[ethrisk];
	a += Ismoke[smoke_cat];
 
	/* Sum from continuous values */
 
	a += age_1 * -17.8397816660055750000000000;
	a += age_2 * 0.0022964880605765492000000;
	a += bmi_1 * 2.4562776660536358000000000;
	a += bmi_2 * -8.3011122314711354000000000;
	a += rati * 0.1734019685632711100000000;
	a += sbp * 0.0129101265425533050000000;
	a += sbps5 * 0.0102519142912904560000000;
	a += town * 0.0332682012772872950000000;
 
	/* Sum from boolean values */
 
	a += b_AF * 0.8820923692805465700000000;
	a += b_atypicalantipsy * 0.1304687985517351300000000;
	a += b_corticosteroids * 0.4548539975044554300000000;
	a += b_impotence2 * 0.2225185908670538300000000;
	a += b_migraine * 0.2558417807415991300000000;
	a += b_ra * 0.2097065801395656700000000;
	a += b_renal * 0.7185326128827438400000000;
	a += b_semi * 0.1213303988204716400000000;
	a += b_sle * 0.4401572174457522000000000;
	a += b_treatedhyp * 0.5165987108269547400000000;
	a += b_type1 * 1.2343425521675175000000000;
	a += b_type2 * 0.8594207143093222100000000;
	a += fh_cvd * 0.5405546900939015600000000;
 
	/* Sum from interaction terms */
 
	a += age_1 * (smoke_cat==1) * -0.2101113393351634600000000;
	a += age_1 * (smoke_cat==2) * 0.7526867644750319100000000;
	a += age_1 * (smoke_cat==3) * 0.9931588755640579100000000;
	a += age_1 * (smoke_cat==4) * 2.1331163414389076000000000;
	a += age_1 * b_AF * 3.4896675530623207000000000;
	a += age_1 * b_corticosteroids * 1.1708133653489108000000000;
	a += age_1 * b_impotence2 * -1.5064009857454310000000000;
	a += age_1 * b_migraine * 2.3491159871402441000000000;
	a += age_1 * b_renal * -0.5065671632722369400000000;
	a += age_1* b_treatedhyp * 6.5114581098532671000000000;
	a += age_1 * b_type1 * 5.3379864878006531000000000;
	a += age_1 * b_type2 * 3.6461817406221311000000000;
	a += age_1 * bmi_1 * 31.0049529560338860000000000;
	a += age_1 * bmi_2 * -111.2915718439164300000000000;
	a += age_1 * fh_cvd * 2.7808628508531887000000000;
	a += age_1 * sbp * 0.0188585244698658530000000;
	a += age_1 * town * -0.1007554870063731000000000;
	a += age_2 * (smoke_cat==1) * -0.0004985487027532612100000;
	a += age_2 * (smoke_cat==2) * -0.0007987563331738541400000;
	a += age_2 * (smoke_cat==3) * -0.0008370618426625129600000;
	a += age_2 * (smoke_cat==4) * -0.0007840031915563728900000;
	a += age_2 * b_AF * -0.0003499560834063604900000;
	a += age_2 * b_corticosteroids * -0.0002496045095297166000000;
	a += age_2 * b_impotence2 * -0.0011058218441227373000000;
	a += age_2 * b_migraine * 0.0001989644604147863100000;
	a += age_2 * b_renal * -0.0018325930166498813000000;
	a += age_2* b_treatedhyp * 0.0006383805310416501300000;
	a += age_2 * b_type1 * 0.0006409780808752897000000;
	a += age_2 * b_type2 * -0.0002469569558886831500000;
	a += age_2 * bmi_1 * 0.0050380102356322029000000;
	a += age_2 * bmi_2 * -0.0130744830025243190000000;
	a += age_2 * fh_cvd * -0.0002479180990739603700000;
	a += age_2 * sbp * -0.0000127187419158845700000;
	a += age_2 * town * -0.0000932996423232728880000;
 
	/* Calculate the score itself */
	double score = 100.0 * (1 - pow(survivor[surv], exp(a)) );
	return score;
}
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