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ndi.viz.vis.plot_sf

  PLOT_SF - visualize spatial frequency results across conditions

  STATS = PLOT_SF(TBL, CONDITION_NAME, REFERENCE_GROUP, GROUP_NAME, ...)

  Given a table TBL and table column name that describes the different experimental
  conditions CONDITION_NAME and the name of the REFERENCE_GROUP (the condition
  that is the control) and the name of a column that determines random factors
  (GROUP_NAME), plots many features relevant for SPATIAL FREQUENCY tuning.

  The fields that are examined are as follows:
    [prefix '_sf_empirical_low_pass_index']
    [prefix '_sf_ultimate_Pref']
    [prefix '_sf_fitless_bandwidth']
    [prefix '_sf_empirical_high_pass_index']
    [prefix '_sf_empirical_max_response_value']

  The function takes options as name/value pairs:
  ----------------------------------------------------------------------------------
  | Parameter (default)          | Description                                     |
  |------------------------------|-------------------------------------------------|
  |prefix ('best')               | The prefix to be applied in front of temporal   |
  |                              |    frequency tuning fields.                     |
  | colors (vlt.plot.colorlist())| The colors that should be assigned to the       |
  |                              |    conditions.                                  |
  | group_line_color([1 1 0])    | The group mean line color.                      |
  |------------------------------|-------------------------------------------------|