void PlPlotWidget::plotLinearFit(int size, std::vector<double> &xp,std::vector<double> &yp,std::vector<double> &yp_err, double m, double c){
plot->clearWidget();
//plot->setBackgroundColor(255,255,255,1);
int i;
double max_x, max_y;
std::vector<double>::iterator result_min_x, result_max_x;
std::vector<double>::iterator result_min_y, result_max_y;
PLFLT *x = new PLFLT[size];
PLFLT *y = new PLFLT[size];
PLFLT *y_fit = new PLFLT[size];
PLFLT *y_err_hi = new PLFLT[size];
PLFLT *y_err_lo = new PLFLT[size];
for(i=0;i<size;i++){ // is there a better way with first value
x[i]=xp[i];
y[i]=yp[i];
y_fit[i]=m*xp[i]+c;
y_err_hi[i]=yp[i]+yp_err[i];
y_err_lo[i]=yp[i]-yp_err[i];
}
result_min_x = std::min_element(xp.begin(), xp.end());
result_max_x = std::max_element(xp.begin(), xp.end());
result_min_y = std::min_element(yp.begin(), yp.end());
result_max_y = std::max_element(yp.begin(), yp.end());
max_x = (*result_max_x)*(1.2); //sets the axis to be 20% larger than the max value
max_y = (*result_max_y)*(1.2);
plcol0( 14 );
plenv( 0, max_x, 0, max_y, 0, 1 );
plcol0( 1 );
pllab( "time (s)", "\gl", "FRAP DATA" );
plcol0( 14 );
plwid( 2 );
plpoin( size, x, y, 20);
plerry( size, x, y_err_hi,y_err_lo);
plwid( 1 );
plcol0( 14 );
plwid( 2 );
plline( size, x, y_fit );
plwid( 1 );
delete[] x;
delete[] y;
delete[] y_fit;
delete[] y_err_hi;
delete[] y_err_lo;
}
void plplot_plot_xy1y2(plot_driver_type * driver ,
const char * label ,
double_vector_type * x ,
double_vector_type * y1 ,
double_vector_type * y2 ,
line_attribute_type line_attr) {
int size = double_vector_size( x );
plplot_logtransform_x( driver , x );
plplot_logtransform_x( driver , y1 );
plplot_logtransform_x( driver , y2 );
plplot_setup_linestyle( line_attr );
plerry(size , double_vector_get_ptr(x) , double_vector_get_ptr(y1) , double_vector_get_ptr(y2));
}