bugs_long

Tidy version of the "Bugs" dataset.

datasets

Utilities for producing dataframes with rich details for the
most common types of statistical approaches and tests: parametric,
nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation
analyses, contingency table analyses, and meta-analyses. The functions
are pipe-friendly and provide a consistent syntax to work with tidy
data. These dataframes additionally contain expressions with
statistical details, and can be used in graphing packages. This
package also forms the statistical processing backend for
'ggstatsplot'. References: Patil (2021) <doi:10.21105/joss.03236>.

Indrajeet Patil

statsExpressions

Tidy Dataframes and Expressions with Statistical Details

bugs_long function

A data frame with 372 rows and 6 variables<ul>
<li>subject. Dummy identity number for each participant.</li>
<li>gender. Participant's gender (Female, Male).</li>
<li>region. Region of the world the participant was from.</li>
<li>education. Level of education.</li>
<li>condition. Condition of the experiment the participant gave rating
for (LDLF: low freighteningness and low disgustingness; LFHD: low
freighteningness and high disgustingness; HFHD: high freighteningness
and low disgustingness; HFHD: high freighteningness and high
disgustingness).</li>
<li>desire. The desire to kill an arthropod was indicated on a scale from
0 to 10.</li>
</ul>

bugs_long: Tidy version of the "Bugs" dataset.

Description

Usage

Arguments

Format

Details

References

Examples