4.62 sddskde2d

• description: sddskde2d performs two-dimensional kernel density estimation (KDE) on two columns of an SDDS file. It creates a regular grid of points and computes a Gaussian KDE using Silverman’s rule of thumb for bandwidth selection. The results are written to a new SDDS file containing the original column names and an additional PDF column giving the estimated probability density.
• examples:
  sddskde2d input.sdds output.sdds -column=x,y  
  sddskde2d data.sdds kde.sdds -column=x,y -samescales -margin=0.1  
      

• synopsis:
  sddskde2d [<inputfile>] [<outputfile>] [-pipe=[input][,output]]  
    -column=<column1,column2> [-samescales] [-margin=<value>]  
      

• switches:
  • -column=<column1,column2> — Specify column names for KDE.
  • -samescales — Use identical scales for both axes.
  • -margin=<value> — Add a fractional margin around the data range.
  • -pipe[=input][,output] — The standard SDDS Toolkit pipe option.
• files: inputfile is an SDDS file supplying two columns of data. outputfile is an SDDS file containing the original columns and a PDF column with the estimated density.
• see also: sddshist2d(), sddslocaldensity()
• author: Yipeng Sun, M. Borland, R. Soliday, ANL/APS.