EVOLUTION-MANAGER
Edit File: tidy.emmGrid.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) emmGrid 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.emmGrid {broom}"><tr><td>tidy.emmGrid {broom}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Tidy a(n) emmGrid 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 'emmGrid' tidy(x, conf.int = FALSE, conf.level = 0.95, ...) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>x</code></td> <td> <p>An <code>emmGrid</code> object.</p> </td></tr> <tr valign="top"><td><code>conf.int</code></td> <td> <p>Logical indicating whether or not to include a confidence interval in the tidied output. Defaults to <code>FALSE</code>.</p> </td></tr> <tr valign="top"><td><code>conf.level</code></td> <td> <p>The confidence level to use for the confidence interval if <code>conf.int = TRUE</code>. Must be strictly greater than 0 and less than 1. Defaults to 0.95, which corresponds to a 95 percent confidence interval.</p> </td></tr> <tr valign="top"><td><code>...</code></td> <td> <p>Additional arguments passed to <code><a href="../../emmeans/html/summary.emmGrid.html">emmeans::summary.emmGrid()</a></code> or <code><a href="../../lsmeans/html/ref.grid.html">lsmeans::summary.ref.grid()</a></code>. <strong>Cautionary note</strong>: misspecified arguments may be silently ignored!</p> </td></tr> </table> <h3>Details</h3> <p>Returns a data frame with one observation for each estimated marginal mean, and one column for each combination of factors. When the input is a contrast, each row will contain one estimated contrast. </p> <p>There are a large number of arguments that can be passed on to <code><a href="../../emmeans/html/summary.emmGrid.html">emmeans::summary.emmGrid()</a></code> or <code><a href="../../lsmeans/html/ref.grid.html">lsmeans::summary.ref.grid()</a></code>. </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>conf.high</code></td> <td> <p>Upper bound on the confidence interval for the estimate.</p> </td></tr> <tr valign="top"><td><code>conf.low</code></td> <td> <p>Lower bound on the confidence interval for the estimate.</p> </td></tr> <tr valign="top"><td><code>df</code></td> <td> <p>Degrees of freedom used by this term in the model.</p> </td></tr> <tr valign="top"><td><code>p.value</code></td> <td> <p>The two-sided p-value associated with the observed statistic.</p> </td></tr> <tr valign="top"><td><code>std.error</code></td> <td> <p>The standard error of the regression term.</p> </td></tr> <tr valign="top"><td><code>estimate</code></td> <td> <p>Expected marginal mean</p> </td></tr> <tr valign="top"><td><code>statistic</code></td> <td> <p>T-ratio statistic</p> </td></tr> </table> <h3>See Also</h3> <p><code><a href="reexports.html">tidy()</a></code>, <code><a href="../../emmeans/html/ref_grid.html">emmeans::ref_grid()</a></code>, <code><a href="../../emmeans/html/emmeans.html">emmeans::emmeans()</a></code>, <code><a href="../../emmeans/html/contrast.html">emmeans::contrast()</a></code> </p> <p>Other emmeans tidiers: <code><a href="tidy.lsmobj.html">tidy.lsmobj</a>()</code>, <code><a href="tidy.ref.grid.html">tidy.ref.grid</a>()</code>, <code><a href="tidy.summary_emm.html">tidy.summary_emm</a>()</code> </p> <h3>Examples</h3> <pre> library(emmeans) # linear model for sales of oranges per day oranges_lm1 <- lm(sales1 ~ price1 + price2 + day + store, data = oranges) # reference grid; see vignette("basics", package = "emmeans") oranges_rg1 <- ref_grid(oranges_lm1) td <- tidy(oranges_rg1) td # marginal averages marginal <- emmeans(oranges_rg1, "day") tidy(marginal) # contrasts tidy(contrast(marginal)) tidy(contrast(marginal, method = "pairwise")) # plot confidence intervals library(ggplot2) ggplot(tidy(marginal, conf.int = TRUE), aes(day, estimate)) + geom_point() + geom_errorbar(aes(ymin = conf.low, ymax = conf.high)) # by multiple prices by_price <- emmeans(oranges_lm1, "day", by = "price2", at = list( price1 = 50, price2 = c(40, 60, 80), day = c("2", "3", "4") ) ) by_price tidy(by_price) ggplot(tidy(by_price, conf.int = TRUE), aes(price2, estimate, color = day)) + geom_line() + geom_errorbar(aes(ymin = conf.low, ymax = conf.high)) # joint_tests tidy(joint_tests(oranges_lm1)) </pre> <hr /><div style="text-align: center;">[Package <em>broom</em> version 0.7.0 <a href="00Index.html">Index</a>]</div> </body></html>