EVOLUTION-MANAGER
Edit File: tidy.roc.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) roc 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.roc {broom}"><tr><td>tidy.roc {broom}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Tidy a(n) roc 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 'roc' tidy(x, ...) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>x</code></td> <td> <p>An <code>roc</code> object returned from a call to <code><a href="../../AUC/html/roc.html">AUC::roc()</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>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>cutoff</code></td> <td> <p>The cutoff used for classification. Observations with predicted probabilities above this value were assigned class 1, and observations with predicted probabilities below this value were assigned class 0.</p> </td></tr> <tr valign="top"><td><code>fpr</code></td> <td> <p>False positive rate.</p> </td></tr> <tr valign="top"><td><code>tpr</code></td> <td> <p>The true positive rate at the given cutoff.</p> </td></tr> </table> <h3>See Also</h3> <p><code><a href="reexports.html">tidy()</a></code>, <code><a href="../../AUC/html/roc.html">AUC::roc()</a></code> </p> <h3>Examples</h3> <pre> library(AUC) data(churn) r <- roc(churn$predictions, churn$labels) td <- tidy(r) td library(ggplot2) ggplot(td, aes(fpr, tpr)) + geom_line() # compare the ROC curves for two prediction algorithms library(dplyr) library(tidyr) rocs <- churn %>% pivot_longer(contains("predictions"), names_to = "algorithm", values_to = "value" ) %>% nest(data = -algorithm) %>% mutate(tidy_roc = purrr::map(data, ~ tidy(roc(.x$value, .x$labels)))) %>% unnest(tidy_roc) ggplot(rocs, aes(fpr, tpr, color = algorithm)) + geom_line() </pre> <hr /><div style="text-align: center;">[Package <em>broom</em> version 0.7.0 <a href="00Index.html">Index</a>]</div> </body></html>