ksmirnov.hlp

是一个经济学管理应用软件 很难找的 但是经济学学生又必须用到

{smcl}
{* 01dec2004}{...}
{cmd:help ksmirnov}{right:dialogs:  {dialog ksmirnov1:one-sample}  {dialog ksmirnov2:two-sample}}
{hline}

{title:Title}

{p2colset 5 21 23 2}{...}
{p2col :{hi:[R] ksmirnov} {hline 2}}Kolmogorov-Smirnov equality-of-distributions test{p_end}
{p2colreset}{...}


{title:Syntax}

{phang}
One-sample Kolmogorov-Smirnov test

{p 8 17 2}
{cmd:ksmirnov} {varname} {cmd:=} {it:{help exp}} {ifin}

{phang}
Two-sample Kolmogorov-Smirnov test

{p 8 17 2}
{cmd:ksmirnov} {varname} {ifin} {cmd:,} {opth "by(varlist:groupvar)"}
 [{opt e:xact}]


{title:Description}

{pstd}
{cmd:ksmirnov} performs one- and two-sample Kolmogorov-Smirnov tests of the
equality of distributions.  In the first syntax, {varname} is the variable
whose distribution is being tested, and {it:{help exp}} must evaluate to the
corresponding (theoretical) cumulative.  In the second syntax, 
{it:{help varlist:groupvar}} must take on two distinct values.  The
distribution of {it:varname} for the first value of {it:groupvar} is compared
with that of the second value.

{pstd}
When testing for normality, please see {helpb sktest} and {helpb swilk}.


{title:Options}

{dlgtab:Main}

{phang}
{opth "by(varlist:groupvar)"} is required.  It specifies a binary variable
that identifies the two groups.

{phang}
{opt exact} specifies that the exact p-value be computed.  This may take a
long time if n > 50.


{title:Examples}

{phang}{cmd:. summarize x}{p_end}
{phang}{cmd:. ksmirnov x = normprob((x-r(mean))/sqrt(r(Var)))}

{phang}{cmd:. ksmirnov x, by(group)}{p_end}
{phang}{cmd:. ksmirnov x, by(group) exact}


{title:Also see}

{psee}
Manual:  {bf:[R] ksmirnov}

{psee}
Online:  {helpb runtest}, {helpb sktest}, {helpb swilk}
{p_end}