plot_variance

`plot_variance()` visualises [sca_variance()] as a bar chart of the share of
the focal coefficient's variance attributable to each control choice (plus a
`"Residual"` bar), making it easy to see which modelling choices drive the
spread of estimates across the curve.

Making specification curve analysis easy, fast, and pretty. It
improves upon existing offerings with additional features and 'tidyverse'
integration. Users can easily visualize and evaluate how their models behave
under different specifications with a high degree of customization. For a
description and applications of specification curve analysis see Simonsohn,
Simmons, and Nelson (2020) <doi:10.1038/s41562-020-0912-z>.

Zayne Sember

speccurvieR

Easy, Fast, and Pretty Specification Curve Analysis

plot_variance function

<dl><dt>sca_data</dt>
<dd>A data frame returned by [sca()].</dd>
<dt>estimate</dt>
<dd>A string naming the numeric column to decompose. Defaults to
`"coef"` (the focal coefficient).</dd>
<dt>method</dt>
<dd>One of `"lmg"` (default; LMG/Shapley decomposition of
R-squared) or `"type2"` (normalised Type II partial sums of
squares). `"shapley"` is an alias for `"lmg"`.</dd>
<dt>residual</dt>
<dd>A boolean indicating whether to append a `"Residual"` row for
the unexplained (and choice-interaction) variance. Defaults to
`TRUE`. When `FALSE`, the control percentages are rescaled to
sum to 100.</dd>
<dt>title</dt>
<dd>A string used as the plot title. Defaults to `""`.</dd></dl>

Arguments

Plot the variance decomposition of a specification curve — plot_variance

<dl>

<dt>sca_data</dt>
<dd>A data frame returned by [sca()].</dd>


<dt>estimate</dt>
<dd>A string naming the numeric column to decompose. Defaults to
`"coef"` (the focal coefficient).</dd>


<dt>method</dt>
<dd>One of `"lmg"` (default; LMG/Shapley decomposition of
R-squared) or `"type2"` (normalised Type II partial sums of
squares). `"shapley"` is an alias for `"lmg"`.</dd>


<dt>residual</dt>
<dd>A boolean indicating whether to append a `"Residual"` row for
the unexplained (and choice-interaction) variance. Defaults to
`TRUE`. When `FALSE`, the control percentages are rescaled to
sum to 100.</dd>


<dt>title</dt>
<dd>A string used as the plot title. Defaults to `""`.</dd>

</dl>

plot_variance: Plot the variance decomposition of a specification curve

Description

Usage

Value

Arguments

See Also

Examples