#| label = "setup", #| message = FALSE, #| warning = FALSE, #| include = FALSE, #| echo = FALSE source("setup.R")
This vignette can be cited as:
citation("statsExpressions")
Here a go-to summary about statistical test carried out and the returned effect
size for each function is provided. This should be useful if one needs to find
out more information about how an argument is resolved in the underlying package
or if one wishes to browse the source code. So, for example, if you want to know
more about how one-way (between-subjects) ANOVA, you can run
?stats::oneway.test
in your R console.
Abbreviations used: CI = Confidence Interval
Here a go-to summary about statistical test carried out and the returned effect
size for each function is provided. This should be useful if one needs to find
out more information about how an argument is resolved in the underlying package
or if one wishes to browse the source code. So, for example, if you want to know
more about how one-way (between-subjects) ANOVA, you can run
?stats::oneway.test
in your R console.
centrality_description()
oneway_anova()
two_sample_test()
one_sample_test()
corr_test()
contingency_table()
meta_analysis()
See {effectsize}
's interpretation functions to check different rules/conventions
to interpret effect sizes:
https://easystats.github.io/effectsize/reference/index.html#section-interpretation
For parametric and non-parametric effect sizes: https://easystats.github.io/effectsize/articles/
For robust effect sizes: https://CRAN.R-project.org/package=WRS2/vignettes/WRS2.pdf
For Bayesian posterior estimates: https://easystats.github.io/bayestestR/articles/bayes_factors.html
If you find any bugs or have any suggestions/remarks, please file an issue on GitHub: https://github.com/IndrajeetPatil/statsExpressions/issues
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