efc_test

<p>An SPSS sample data set, imported with the <code>sjlabelled::read_spss()</code>
function. Consists of 28 variables from 908 observations. The data set is part
of the EUROFAMCARE project, a cross-national survey on informal caregiving in
Europe.</p>

data

Compute marginal effects and adjusted predictions from statistical
models and returns the result as tidy data frames. These data frames are
ready to use with the 'ggplot2'-package. Effects and predictions 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

Frederik Aust

Sam Crawley

efc function

Sample dataset from the EUROFAMCARE project — efc

Sample dataset from the EUROFAMCARE project

Last chance! 50% off unlimited learning

efc: Sample dataset from the EUROFAMCARE project

Description

Arguments

Examples