extract_weights

Extract the prior and fitted weights from a fitted model object.

internal

Extensions to 'ggplot2' respecting the grammar of graphics
paradigm. Statistics to locate and tag peaks and valleys and to label plots
with the equation of a fitted polynomial model by ordinary least squares,
major axis, quantile and robust and resistant regression approaches. Line
and model equation for Normal mixture models. Labels for P-value,
R^2 or adjusted R^2 or information criteria for fitted models; parametric
and non-parametric correlation; ANOVA table or summary table for fitted
models as plot insets; annotations for multiple pairwise
comparisons with adjusted P-values. Model fit classes for which suitable
methods are provided by package 'broom' and 'broom.mixed' are supported as
well as user-defined wrappers on model fit functions, allowing model
selection and conditional labelling. Scales and stats to
build volcano and quadrant plots based on
outcomes, fold changes, p-values and false discovery rates.

Pedro Aphalo

ggpmisc

Miscellaneous Extensions to 'ggplot2'

Pedro J. Aphalo

Kamil Slowikowski

Samer Mouksassi

extract_weights function

<dl><dt>fm</dt>
<dd>a fitted model object of a supported class.</dd>
<dt>n.row</dt>
<dd>interger The expected length of the weights vectors to extract.</dd></dl>

Arguments

Extract prior and fitted weights — extract_weights

<dl>

<dt>fm</dt>
<dd>a fitted model object of a supported class.</dd>


<dt>n.row</dt>
<dd>interger The expected length of the weights vectors to extract.</dd>

</dl>

extract_weights: Extract prior and fitted weights

Description

Usage

Value

Arguments