EVOLUTION-MANAGER
Edit File: tidy.kde.html
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Tidy a(n) kde object</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <link rel="stylesheet" type="text/css" href="R.css" /> </head><body> <table width="100%" summary="page for tidy.kde {broom}"><tr><td>tidy.kde {broom}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Tidy a(n) kde object</h2> <h3>Description</h3> <p>Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return. </p> <h3>Usage</h3> <pre> ## S3 method for class 'kde' tidy(x, ...) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>x</code></td> <td> <p>A <code>kde</code> object returned from <code><a href="../../ks/html/kde.html">ks::kde()</a></code>.</p> </td></tr> <tr valign="top"><td><code>...</code></td> <td> <p>Additional arguments. Not used. Needed to match generic signature only. <strong>Cautionary note:</strong> Misspelled arguments will be absorbed in <code>...</code>, where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass <code>conf.lvel = 0.9</code>, all computation will proceed using <code>conf.level = 0.95</code>. Additionally, if you pass <code>newdata = my_tibble</code> to an <code><a href="reexports.html">augment()</a></code> method that does not accept a <code>newdata</code> argument, it will use the default value for the <code>data</code> argument.</p> </td></tr> </table> <h3>Details</h3> <p>Returns a data frame in long format with four columns. Use <code>tidyr::pivot_wider(..., names_from = variable, values_from = value)</code> on the output to return to a wide format. </p> <h3>Value</h3> <p>A <code><a href="../../tibble/html/tibble.html">tibble::tibble()</a></code> with columns: </p> <table summary="R valueblock"> <tr valign="top"><td><code>estimate</code></td> <td> <p>The estimated value of the regression term.</p> </td></tr> <tr valign="top"><td><code>obs</code></td> <td> <p>weighted observed number of events in each group.</p> </td></tr> <tr valign="top"><td><code>value</code></td> <td> <p>The value/estimate of the component. Results from data reshaping.</p> </td></tr> <tr valign="top"><td><code>variable</code></td> <td> <p>Variable under consideration.</p> </td></tr> </table> <h3>See Also</h3> <p><code><a href="reexports.html">tidy()</a></code>, <code><a href="../../ks/html/kde.html">ks::kde()</a></code> </p> <h3>Examples</h3> <pre> library(ks) dat <- replicate(2, rnorm(100)) k <- kde(dat) td <- tidy(k) td library(ggplot2) library(dplyr) library(tidyr) td %>% pivot_wider(c(obs, estimate), names_from = variable, values_from = value ) %>% ggplot(aes(x1, x2, fill = estimate)) + geom_tile() + theme_void() # also works with 3 dimensions dat3 <- replicate(3, rnorm(100)) k3 <- kde(dat3) td3 <- tidy(k3) td3 </pre> <hr /><div style="text-align: center;">[Package <em>broom</em> version 0.7.0 <a href="00Index.html">Index</a>]</div> </body></html>