Package: supernova 3.0.2

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_3.0.2.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'))

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

On CRAN:

Conda:

7.71 score 62 stars 3 packages 172 scripts 1.3k downloads 14 exports 13 dependencies

Last updated from:2a712320d0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK161
source / vignettesOK215
linux-release-x86_64OK165
macos-release-arm64OK169
macos-oldrel-arm64OK154
windows-develOK102
windows-releaseOK123
windows-oldrelOK119
wasm-releaseOK121

Exports:as_numberautoplot.pairwisedrop_termequationgenerate_modelsis_numberlistwise_deletenumberpairwisepairwise_bonferronipairwise_tpairwise_tukeysupernovavariables

Dependencies:cligluelifecyclemagrittrpillarpkgconfigpurrrrlangstringistringrtibbleutf8vctrs

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