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Regression Analysis: Report R-squared (confidence of determination).

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This commit is contained in:
Kristian Bendiksen 2023-05-19 10:23:32 +02:00
parent 6a56149d84
commit dc3530ac0b
2 changed files with 9 additions and 7 deletions
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14
ApplicationLibCode/ProjectDataModel/Summary/RimSummaryRegressionAnalysisCurve.cpp
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@ -135,9 +135,8 @@ std::tuple<std::vector<time_t>, std::vector<double>, QString>
if ( m_regressionType == RegressionType::LINEAR )
{
auto generateRegressionText = []( const regression::LinearRegression& reg ) {
return QString( "Linear Regression<br>Intercept: %1<br>Slope: %2<br><br>r = %2x + %1" ).arg( reg.intercept() ).arg( reg.slope() );
};
auto generateRegressionText = []( const regression::LinearRegression& reg )
{ return QString( "r = %2x + %1" ).arg( reg.intercept() ).arg( reg.slope() ) + QString( "<br>R<sup>2</sup> = %1" ).arg( reg.r2() ); };
regression::LinearRegression linearRegression;
linearRegression.fit( timeStepsD, values );
@ -148,7 +147,7 @@ std::tuple<std::vector<time_t>, std::vector<double>, QString>
{
auto generateRegressionText = []( const regression::PolynominalRegression& reg )
{
QString str = "Polynominal Regression<br><br>r = ";
QString str = "r = ";
std::vector<double> coeffs = reg.coeffisients();
QStringList parts;
@ -169,7 +168,7 @@ std::tuple<std::vector<time_t>, std::vector<double>, QString>
}
}
return str + parts.join( " + " );
return str + parts.join( " + " ) + QString( "<br>R<sup>2</sup> = %1" ).arg( reg.r2() );
};
regression::PolynominalRegression polynominalRegression;
@ -180,7 +179,10 @@ std::tuple<std::vector<time_t>, std::vector<double>, QString>
else if ( m_regressionType == RegressionType::POWER_FIT )
{
auto generateRegressionText = []( const regression::PowerFitRegression& reg )
{ return QString( "Power Fit Regression<br><br>r = %1 + x<sup>%2</sup>" ).arg( reg.scale() ).arg( reg.exponent() ); };
{
return QString( "r = %1 + x<sup>%2</sup>" ).arg( reg.scale() ).arg( reg.exponent() ) +
QString( "<br>R<sup>2</sup> = %1" ).arg( reg.r2() );
};
regression::PowerFitRegression powerFitRegression;
powerFitRegression.fit( timeStepsD, values );

2
ThirdParty/regression-analysis vendored

@ -1 +1 @@
Subproject commit 86057ffc43926c0963292bda50fcac1ea733fe25
Subproject commit 8cb0644ae6983f4b69568164a595e2b287bc04ee