plot_samplesizes

plot_samplesizes() plots `n_obs`, the number of observations each
specification was fit on, against the specification index. It makes visible
whether specifications were fit on different samples -- with default listwise
deletion they often are -- which is a reason to consider `sca(common_sample
= TRUE)`.

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_samplesizes function

<dl><dt>sca_data</dt>
<dd>A data frame returned by `sca()` containing model estimates
from the specification curve analysis.</dd>
<dt>title</dt>
<dd>A string to use as the plot title. Defaults to an empty string,
`""`.</dd></dl>

Arguments

Plots the number of observations across model specifications. — plot_samplesizes

<dl>

<dt>sca_data</dt>
<dd>A data frame returned by `sca()` containing model estimates
from the specification curve analysis.</dd>


<dt>title</dt>
<dd>A string to use as the plot title. Defaults to an empty string,
`""`.</dd>

</dl>

plot_samplesizes: Plots the number of observations across model specifications.

Description

Usage

Value

Arguments

See Also

Examples