source: branches/fitshead-branch/Utils/plottingUtilities.cc @ 1441

#include <iostream>
#include <math.h>
#include <cpgplot.h>
#include <Utils/utils.hh>

void plotLine(const float slope, const float intercept)
{
  float x1, x2, y1, y2;
  cpgqwin(&x1,&x2,&y1,&y2);
  cpgmove(x1,slope*x1+intercept);
  cpgdraw(x2,slope*x2+intercept);
}

void lineOfEquality()
{
  plotLine(1.,0.);
}

void lineOfBestFit(int size, float *x, float *y)
{
  float a,b,r,erra,errb;
  linear_regression(size,x,y,0,size-1,a,erra,b,errb,r);
  plotLine(a,b);
}

void plotVertLine(const float xval, const int colour, const int style)
{
  float x1, x2, y1, y2;
  cpgqwin(&x1,&x2,&y1,&y2);
  int currentColour,currentStyle;
  cpgqci(&currentColour);
  cpgqls(&currentStyle);
  if(currentColour!=colour) cpgsci(colour);
  if(currentStyle !=style)  cpgsls(style);
  cpgmove(xval,y1);
  cpgdraw(xval,y2);
  if(currentColour!=colour) cpgsci(currentColour);
  if(currentStyle !=style)  cpgsls(currentStyle);
}

void plotVertLine(const float xval)
{
  int colour,style;
  cpgqci(&colour);
  cpgqls(&style);
  plotVertLine(xval,colour,style);
}

void plotVertLine(const float xval, const int colour)
{
  int style;
  cpgqls(&style);
  plotVertLine(xval,colour,style);
}

void plotHorizLine(const float yval, const int colour, const int style)
{
  float x1, x2, y1, y2;
  cpgqwin(&x1,&x2,&y1,&y2);
  int currentColour,currentStyle;
  cpgqci(&currentColour);
  cpgqls(&currentStyle);
  if(currentColour!=colour) cpgsci(colour);
  if(currentStyle !=style)  cpgsls(style);
  cpgmove(x1,yval);
  cpgdraw(x2,yval);
  if(currentColour!=colour) cpgsci(currentColour);
  if(currentStyle !=style)  cpgsls(currentStyle);
}

void plotHorizLine(const float yval)
{
  int colour,style;
  cpgqci(&colour);
  cpgqls(&style);
  plotHorizLine(yval,colour,style);
}

void plotHorizLine(const float yval, const int colour)
{
  int style;
  cpgqls(&style);
  plotHorizLine(yval,colour,style);
}

void lineOfBestFitPB(const int size, const float *x, const float *y)
{
  int numSim = int(size * log(float(size)*log(float(size))) );
  float slope=0, intercept=0;
  float *xboot = new float[size];
  float *yboot = new float[size];
  for(int sim=0;sim<numSim;sim++){
    for(int i=0;i<size;i++){
      int point = int((1.*rand())/(RAND_MAX+1.0) * size);
      xboot[i] = x[point];
      yboot[i] = y[point];
    }
    float a,b,r,erra,errb;
    linear_regression(size,xboot,yboot,0,size-1,a,erra,b,errb,r);
    slope += a;
    intercept += b;
  }
  delete [] xboot,yboot;
  slope /= float(numSim);
  intercept /= float(numSim);
  
  plotLine(slope,intercept);
}

void drawContours(const int size, const float *x, const float *y)
{
  float x1, x2, y1, y2;
  cpgqwin(&x1,&x2,&y1,&y2);
  const int nbin = 30;
  // widths of bins in x and y directions
  float xbin = (x2 - x1) / float(nbin-2); // have one bin either side of extrema
  float ybin = (y2 - y1) / float(nbin-2);
  float *binnedarray = new float[nbin*nbin];
  for(int i=0;i<nbin*nbin;i++) binnedarray[i] = 0.;
  for(int i=0;i<size;i++){
    int xpos = int( (x[i] - (x1-xbin)) / xbin );
    int ypos = int( (y[i] - (y1-ybin)) / ybin );
    if((ypos*nbin+xpos) >= (nbin*nbin)) std::cerr << "AAARRRRGGGHHHHH!!!!\n";
    binnedarray[ypos*nbin+xpos] += 1.;
  }  
  float maxct = binnedarray[0];
  for(int i=1;i<nbin*nbin;i++) if(binnedarray[i]>maxct) maxct=binnedarray[i];
  float tr[6]={x1-3*xbin/2,xbin,0.,y1-3*ybin/2,0.,ybin};
  const int ncont = 10;
  float *cont = new float[ncont];
  for(int i=0;i<ncont;i++) cont[i] = maxct / pow(2,float(i)/2.);
  cpgcont(binnedarray,nbin,nbin,1,nbin,1,nbin,cont,ncont,tr);
  delete [] binnedarray;
  delete [] cont;
}