.-
^circstat^: summary of circular statistics commands
.-

This set of programs is for circular data measured on a scale of 0-360 degrees.

(Click on any command name in @green@ for further details.)

1. Basic univariate graphics
----------------------------

1a. Raw data plot for circular data with spikes
-----------------------------------------------

    @circrplt@ varname [^if^ exp] [^in^ range]
    [ ^,^ ^r^ound^(^#^)^ ^f^udge^(^#^)^ ^ct cl non^orth ^ahl(^#^)^
    ^uti^tle^(^string^)^ ^lti^tle^(^string^)^ ^sa^ving^(^filename^)^ ]

1b. Raw data plot for circular data with point symbols
------------------------------------------------------

    @circdplt@ varname [^if^ exp] [^in^ range]
    [ ^,^ ^r^ound^(^#^)^ ^s^ymbol^(^str^)^ ^si^ze^(^#^)^ ^f^udge^(^#^)^
    ^ct cl non^orth ^ahl(^#^)^ ^uti^tle^(^string^)^ ^lti^tle^(^string^)^
    ^sa^ving^(^filename^)^ ]

1c. Histogram for circular data with wrapping round of bins
-----------------------------------------------------------

    @circhist@ varname [weight] [^if^ exp] [^in^ range]
    [ ^,^ ^p^ad^(^#^) h^istplot { graph_options | histplot_options } ]

1d. Cumulative vector plot for circular data
--------------------------------------------

    @circvplt@ varname [^if^ exp] [^in^ range]
    [ ^, ahl(^#^) uti^tle^(^str^) lti^tle^(^str^) r^otate^(^#^)^
    ^f^udge^(^#^) sa^ving^(^filename^)^ ]

1e. Nonparametric density estimation for circular data
------------------------------------------------------

    @circnpde@ varname [^if^ exp] [^in^ range] [^, h(^#^)^
    ^genpdf(^newvar^) gendeg(^newvar^)^ graph_options


2. Univariate summary, tests and manipulations
----------------------------------------------

2a. Summary statistics for circular data
----------------------------------------

    @circsumm@ varname [weight] [^if^ exp] [^in^ range]
    [ ^, ci lev^el^(^#^) r^ayleigh ^k^uiper ^d^etail ]

2b. Comparative statistics for circular data
--------------------------------------------

    @circcomp@ varname [weight] [^if^ exp] [^in^ range]
    [ ^, by(^byvar^) ci lev^el^(^#^) r^ayleigh ^k^uiper ^d^etail ]

    @circcomp@ varlist [weight] [^if^ exp] [^in^ range]
    [ ^, ci lev^el^(^#^) r^ayleigh ^k^uiper ^d^etail ]

2c. Centring circular data
--------------------------

    @circcent@ varname ^,  g^enerate^(^newvar^)^ [ ^c^entre^(^string^)^ ^p^os ]

2d. Difference between circular variables
-----------------------------------------

    @circdiff@ varname1 varname2 ^, g^enerate^(^newvar^)^


3. Correlation, scatter plots, smoothing
----------------------------------------

3a. Correlation for circular data
---------------------------------

    @circcorr@ varname1 varname2 [^if^ exp] [^in^ range]

3b. Correlation for linear-circular data
----------------------------------------

    @circlcco@ linearvar circvar [^if^ exp] [^in^ range]

3c. Scatter plot for circular data with wrapping round of data
--------------------------------------------------------------

    @circplot@ varlist [weight] [^if^ exp] [^in^ range]
    [ ^, x^circ ^y^circ ^p^ad^(^#^) d^iff graph_options ]

3d. Smoothing including lowess for circular data, x-variable circular
---------------------------------------------------------------------

    @circxsm@ yvar xvar [^if^ exp] [^in^ range] [ ^, p^ad^(^#^)^ ksm_options ]

3e. Smoothing including lowess for circular data, y-variable circular
---------------------------------------------------------------------

    @circysm@ yvar xvar [^if^ exp] [^in^ range]
    [ ^, g^enerate^(^newvar^)^ ksm_options circplot_options ]


4. Two and k sample comparison
------------------------------

4a. Two-sample tests for circular data
--------------------------------------

    @circ2sam@ varname [^if^ exp] [^in^ range] ^, by(^groupvar^)^

4b. Wheeler-Watson-Mardia test for circular data
------------------------------------------------

    @circwwm@ varname [^if^ exp] [^in^ range] ^, by(^groupvar^)^