Files
Upsilon/apps/probability/binomial_law.cpp
Émilie Feral 2a79d8bfd9 [apps/probability] Make law model an abstract class with inheritance for
all specific laws (binomial...)

Change-Id: Ida6d5bfb7a3fbfc288393cd2f7e9e9b934798073
2016-12-15 13:51:40 +01:00

72 lines
1.2 KiB
C++

#include "binomial_law.h"
#include <assert.h>
namespace Probability {
BinomialLaw::BinomialLaw(EvaluateContext * evaluateContext) :
TwoParameterLaw(evaluateContext),
m_expression(Expression::parse("p1-p2*t"))
{
//m_expression = Expression::parse("binomial(p1, p2)*p2^t*(1-p2)^(p1-t)");
assert(m_expression != nullptr);
}
BinomialLaw::~BinomialLaw() {
delete m_expression;
}
const char * BinomialLaw::title() {
return "Loi binomiale";
}
Expression * BinomialLaw::expression() const {
return m_expression;
}
Law::Type BinomialLaw::type() const {
return Type::Binomial;
}
bool BinomialLaw::isContinuous() {
return false;
}
const char * BinomialLaw::parameterNameAtIndex(int index) {
assert(index >= 0 && index < 2);
if (index == 0) {
return "n";
} else {
return "p";
}
}
const char * BinomialLaw::parameterDefinitionAtIndex(int index) {
assert(index >= 0 && index < 2);
if (index == 0) {
return "n : nombre de repetitions";
} else {
return "p : probabilites de succes";
}
}
float BinomialLaw::xMin() {
return 0.0f;
}
float BinomialLaw::xMax() {
if (m_parameter1 == 0) {
return 1.0f;
}
return m_parameter1;
}
float BinomialLaw::yMin() {
return -0.2f;
}
float BinomialLaw::yMax() {
return 1.0f;
}
}