new_data

model

Character vector with the names of those terms from
<code>model</code> for which all combinations of values should be created.

terms

Character vector, naming the function to be applied to the
covariates over which the effect is "averaged". The default is "mean".
See <code><a rd-options="sjmisc" href="/link/typical_value?package=ggeffects&version=0.13.0&to=sjmisc" data-mini-rdoc="sjmisc::typical_value">typical_value</a></code> for options.

typical

Named character vector, which indicates covariates that
should be held constant at specific values. Unlike <code>typical</code>, which
applies a function to the covariates to determine the value that is used
to hold these covariates constant, <code>condition</code> can be used to define
exact values, for instance <code>condition = c(covariate1 = 20, covariate2 = 5)</code>.
See 'Examples'.

condition

Create a data frame for the "newdata"-argument that contains
 all combinations of values from the terms in questions. Similar to
 <code><a rd-options="" href="/link/expand.grid?package=ggeffects&version=0.13.0" data-mini-rdoc="ggeffects::expand.grid">expand.grid</a></code>. The <code>terms</code>-argument accepts all shortcuts
 for representative values as in <code>ggpredict()</code>.

Compute marginal effects from statistical models and returns the
result as tidy data frames. These data frames are ready to use with the
'ggplot2'-package. Marginal effects can be calculated for many different
models. Interaction terms, splines and polynomial terms are also supported.
The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a
generic plot()-method to plot the results using 'ggplot2'.

Daniel Lüdecke

ggeffects

Create Tidy Data Frames of Marginal Effects for 'ggplot' from
Model Outputs

Daniel L<c3><bc>decke

new_data function

Character vector, naming the function to be applied to the
covariates over which the effect is "averaged". The default is "mean".
See <code><a rd-options='sjmisc' href='typical_value'>typical_value</a></code> for options.

Create a data frame for the "newdata"-argument that contains
 all combinations of values from the terms in questions. Similar to
 <code><a rd-options='' href='expand.grid'>expand.grid</a></code>. The <code>terms</code>-argument accepts all shortcuts
 for representative values as in <code>ggpredict()</code>.

new_data: Create a data frame from all combinations of predictor values

Description

Usage

Arguments

Value

Examples