<!doctype s-function-doc system "s-function-doc.dtd" [
<!entity % S-OLD "INCLUDE">
]
>
<s-function-doc>
<s-topics>
<s-topic>table.rq</s-topic>
</s-topics>
<s-title>
Table of Quantile Regression Results
</s-title>
<s-description>
Function to produce a table of quantile regression results for a group
of specified quantiles.
</s-description>
<s-usage>
<s-old-style-usage>
table.rq(formula, taus=c(0.05, 0.25, 0.5, 0.75, 0.95), method="br", ...)
</s-old-style-usage>
</s-usage>
<s-args-required>
</s-args-required>
<s-args-optional>
<!--move the above two lines to just above the first optional argument-->
<s-arg name= formula >
formula for the linear model, see rq()
</s-arg>
<s-arg name= taus >
quantiles of interest
</s-arg>
<s-arg name= method >
algorithmic method, for large problems method="fn" would be preferred.
</s-arg>
<s-arg name= ... >
other optional arguments passed to rq()
</s-arg>
</s-args-optional>
<s-value>
The function returns an array with dimensions (p,m,3), where p is the dimension
of the parameter vector of the model specified by formula, m is the number
of quantiles specified by tau.  For each coefficient at each tau there
is a point estimate and lower and upper limits of a confidence interval.
The object returned is of class table.rq and can be plotted, or formatted
into a latex style table.
</s-value>
<s-details>
This is only implemented for method="br", but modifications for "fn"
would be quite straightforward.
</s-details>
<s-see>
rq, rq.fit.br, plot.table.rq, latex.table.rq
</s-see>
<s-examples>
<s-example>
plot(table.rq(stack.loss~stack.x)#plot results of a quantile regression
latex.table.rq(table.rq(stack.loss~stack.x))#make latex table 
</s-example>
</s-examples>
<s-keywords>
<s-keyword>librobust</s-keyword>
</s-keywords>
<s-docclass>
function
</s-docclass>
</s-function-doc>
