pkshape.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}
{* 20jan2005}{...}
{cmd:help pkshape}{right:dialog:  {bf:{dialog pkshape}}}
{hline}

{title:Title}

{p2colset 5 20 22 2}{...}
{p2col :{hi:[R] pkshape} {hline 2}}Reshape (pharmacokinetic) Latin-square data{p_end}
{p2colreset}{...}


{title:Syntax}

{p 8 17 2}
{cmd:pkshape} {it:id sequence period1 period2} [{it:period list}]
[{cmd:,} {it:options}]

{synoptset 19}{...}
{synopthdr}
{synoptline}
{synopt :{opt o:rder(string)}}apply treatments in specified order{p_end}
{synopt :{opth out:come(newvar)}}name for outcome variable; default is
{cmd:outcome(outcome)}{p_end}
{synopt :{opth tr:eatment(newvar)}}name for treatment variable; default is
{cmd:treatment(treat)}{p_end}
{synopt :{opth car:ryover(newvar)}}name for carryover variable; default is
{cmd:carryover(carry)}{p_end}
{synopt :{opth seq:uence(newvar)}}name for sequence variable; default is
{cmd:sequence(sequence)}{p_end}
{synopt :{opth per:iod(newvar)}}name for period variable; default is
{cmd:period(period)}{p_end}
{synoptline}
{p2colreset}{...}


{title:Description}

{pstd}
{cmd:pkshape} reshapes the data for use with {helpb anova}, {helpb pkcross},
and {helpb pkequiv}.  Latin-square and crossover data are often organized in a
manner that cannot be analyzed easily with Stata.  {cmd:pkshape} reorganizes
the data in memory for use in Stata.

{pstd}
{cmd:pkshape} is one of the pk commands.  Please read {helpb pk} before reading
this entry.


{title:Options}

{phang}
{opt order(string)} specifies the order in which treatments were applied.  If
the {opt sequence()} specifier is a string variable that specifies the order,
this option is not necessary.  Otherwise, {opt order()} specifies how to
generate the treatment and carryover variables.  Any string variable can be
used to specify the order.  In the case of crossover designs, any washout
periods can be indicated with the number 0.

{phang}
{opth outcome(newvar)} specifies the name for the outcome variable in the
reorganized data.  By default, {cmd:outcome(outcome)} is used.

{phang}
{opth treatment(newvar)} specifies the name for the treatment variable in the
reorganized data.  By default, {cmd:treatment(treat)} is used.

{phang}
{opth carryover(newvar)} specifies the name for the carryover variable in the
reorganized data.  By default, {cmd:carryover(carry)} is used.

{phang}
{opth sequence(newvar)} specifies the name for the sequence variable in the
reorganized data.  By default, {cmd:sequence(sequence)} is used.

{phang}
{opth period(newvar)} specifies the name for the period variable in the
reorganized data.  By default, {cmd:period(period)} is used.


{title:Remarks}

{pstd}
Often, data from a Latin-square experiment are naturally organized in a
manner that Stata cannot manage easily.  {cmd:pkshape} reorganizes
Latin-square type data so that it can be used with {helpb anova}
or any {helpb pk} command.  This includes the classic 2*2 crossover design
commonly used in pharmaceutical research, as well as many other Latin-square
designs.


{title:Examples}

{phang}{cmd:. pkshape id seq period1 period2, order(ab ba)}

{phang}{cmd:. pkshape id seq day1 day2 day3 day4 day5}{p_end}
{phang}{cmd:. anova outcome seq period treat}

{phang}{cmd:. pkshape id seq p1 p2 p3, order(bca abc cab) seq(pattern) period(order) treat(displays)}{p_end}
{phang}{cmd:. anova outcome pattern order display id|pattern}


{title:Also see}

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

{psee}
Online:  {helpb anova}, {helpb pk}, {helpb pkcollapse}, {helpb pkcross},
{helpb pkequiv}, {helpb pkexamine}, {helpb pksumm}
{p_end}