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gbker2d - Kernel density estimate for bivariate data

Author

       Written by Giulio Bottazzi

Description

       2D  kernel  density  estimation on an equispaced grid. Data are read from standard input as couple (x,y).
       The kernel bandwidth if not provided with the option -H is set automatically. Different bandwidths can be
       specified for x and y.

Examples

       gbker2d -n 10,20 -K 1 < file
              compute the kernel on an equispaced grid 10x20 using a rectangular kernel

Name

       gbker2d - Kernel density estimate for bivariate data

Options

-n     number of points where the density is computed (default 10) use comma  (,)  to  specify  different
              values for x and y components

       -H     set  the  kernel  bandwidth  explicitly;  use  comma  (,)  to specify different values for x and y
              components

       -S     scale the kernel bandwidth with respect to euristic 'optimal' value;  use  comma  (,)  to  specify
              different values for x and y components

       -K     choose  the kernel to use: 0: Epanenchnikov 1: Rectangular 2: Silverman type 1 3: Silverman type 2
              (default 0)

       -D     switch off data de-variation procedure

       -v     verbose mode

       -F     specify the input fields separators (default " \t")

       -h     this help

Reporting Bugs

Synopsis

gbker2d [options]

See Also