bacteriuria

<p>Bacteriuria patients were randomly assigned to two treatment
    groups.  Weekly binary indicator of bacteriuria was recorded for
    every patient over 4 to 16 weeks.  A total of 72 patients were
    represented in the data, with 36 each in the two treatment groups.</p>

datasets

A comprehensive package for structural multivariate
function estimation using smoothing splines.

Chong Gu

General Smoothing Splines

bacteriuria function

<p>A data frame containing 820 observations on the following variables.</p><table class="table">
<tr><td><code>id</code></td><td>Identification of patients, a factor.</td></tr>
<tr><td><code>trt</code></td><td>Treatments 1 or 2, a factor.</td></tr>
<tr><td><code>time</code></td><td>Weeks after randomization.</td></tr>
<tr><td><code>infect</code></td><td>Binary indicator of bacteriuria (bacteria in
	urine).</td></tr>
</table><p></p><p></p>

Format

Treatment of Bacteriuria — bacteriuria

<p>A data frame containing 820 observations on the following variables.</p><table class='table'>
<tr><td><code>id</code></td><td>Identification of patients, a factor.</td></tr>
<tr><td><code>trt</code></td><td>Treatments 1 or 2, a factor.</td></tr>
<tr><td><code>time</code></td><td>Weeks after randomization.</td></tr>
<tr><td><code>infect</code></td><td>Binary indicator of bacteriuria (bacteria in
	urine).</td></tr>
</table>



bacteriuria: Treatment of Bacteriuria

Description

Usage

Arguments

Format

References

`id`	Identification of patients, a factor.
`trt`	Treatments 1 or 2, a factor.
`time`	Weeks after randomization.
`infect`	Binary indicator of bacteriuria (bacteria in urine).