Package: supernova 3.0.0

Adam Blake

supernova: Judd, McClelland, & Ryan Formatting for ANOVA Output

Produces ANOVA tables in the format used by Judd, McClelland, and Ryan (2017, ISBN: 978-1138819832) in their introductory textbook, Data Analysis. This includes proportional reduction in error and formatting to improve ease the transition between the book and R.

Authors:Adam Blake [cre, aut], Jeff Chrabaszcz [aut], Ji Son [aut], Jim Stigler [aut]

supernova_3.0.0.tar.gz
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supernova.pdf |supernova.html
supernova/json (API)
NEWS

# Install 'supernova' in R:
install.packages('supernova', repos = c('https://uclatall.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/uclatall/supernova/issues

On CRAN:

7.58 score 64 stars 3 packages 102 scripts 1.6k downloads 14 exports 14 dependencies

Last updated 9 months agofrom:e25c2eb2be. Checks:OK: 5 NOTE: 1 ERROR: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winERROROct 27 2024
R-4.5-linuxNOTEOct 27 2024
R-4.4-winOKOct 27 2024
R-4.4-macOKOct 27 2024
R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

Exports:as_numberautoplot.pairwisedrop_termequationgenerate_modelsis_numberlistwise_deletenumberpairwisepairwise_bonferronipairwise_tpairwise_tukeysupernovavariables

Dependencies:clifansigluelifecyclemagrittrpillarpkgconfigpurrrrlangstringistringrtibbleutf8vctrs

Readme and manuals

Help Manual

Help pageTopics
Plotting method for pairwise objects.autoplot.pairwise plot.pairwise
Drop a term from the given modeldrop_term
Print the output of 'lm()' with the fitted equation.equation
Generate a List of Models for Computing Different Types of Sums of Squaresgenerate_models generate_models.formula generate_models.lm
Remove cases with missing values.listwise_delete listwise_delete.data.frame listwise_delete.lm
'number' vectoras_number is_number number
Compute all pairwise comparisons between category levelspairwise pairwise_bonferroni pairwise_t pairwise_tukey
supernovasupernova supernova.lm supernova.lmerMod
Update a model in the environment the model was created inupdate_in_env
Extract the variables from a model formulavariables variables.formula variables.lm variables.lmerMod variables.supernova