<!doctype s-function-doc system "s-function-doc.dtd" [
<!entity % S-OLD "INCLUDE">
]
>
<s-function-doc>
<s-topics>
<s-topic> plot.table.rq </s-topic>
</s-topics>
<s-title>
Plot Table of Quantile Regression Results
</s-title>
<s-description>
The function makes an array of p - plots based on an array produced
by table.rq of quantile regression results.  The plots each represent
one parameter of the model specified in the formula argument to
table.rq; the plots consist of the point estimates betahat(tau)
plotted against the taus specified in the table.rq command with
a confidence band as produced by rq().
</s-description>
<s-usage>
<s-old-style-usage>
plot.table.rq(object,nrow=3,ncol=2)
</s-old-style-usage>
</s-usage>
<s-args-required>
<s-arg name= object >
object of class table.rq containing the array to be plotted.
</s-arg>
</s-args-required>
<s-args-optional>
<s-arg name= nrow >
number of rows per page of plots
</s-arg>
<s-arg name= ncol >
number of columns per page of plots
</s-arg>
</s-args-optional>
<s-value>
NULL
</s-value>
<s-side-effects>
plots an array of figures on the current graphics device.
</s-side-effects>
<s-details>
See rq() and rq.fit.br() table.rq() for further details on control of data.
Obviously, further plotting parameters could be added in a more full-blown
version.  This version is meant just to be illustrative.
</s-details>
<s-see>
rq,rq.fit.br,table.rq
</s-see>
<s-examples>
<s-example>
</s-example>
</s-examples>
<s-keywords>
<s-keyword>librobust</s-keyword>
<s-keyword>hplot</s-keyword>
</s-keywords>
<s-docclass>
function
</s-docclass>
</s-function-doc>
