This is tadaatoolbox version 0.12.0
(semver(ish)).
It contains helpers for data analysis and presentation focused on undergrad psychology, the target audience being students at University of Bremen.
Please consider this as a teaching project and be careful if you intend to use it for production use.
To see what’s new, see NEWS.md.
Also, since this project is still in the 0.x.y
version, you should expect the API to change at any time. Once we reach 1.0.0
, API changes will be rolled out more slowly and include depracation warnings. In the meantime, the package is available on CRAN primarily for convenience, because its target audience is likely not familiar with GitHub or devtools
.
Install the current development version from GitHub (recommended):
if (!("devtools" %in% installed.packages())){
install.packages("devtools")
}
devtools::install_github("tadaadata/tadaatoolbox")
Or install the most recent stable version from CRAN:
install.packages("tadaatoolbox")
Please do! I have no idea where I’m going with this. Feel free to open issues.
See the included vignette for a demonstration: browseVignettes("tadaatoolbox")
or view the current version in this repository the pkgdown
ed version of this repo.
tadaa_aov
: For aov
with included partial \(\eta^2\) and Cohen’s f.tadaa_kruskal
: A wrapper for kruskal.test
tidied and optionally pixiedust
ed.tadaa_t.test
: For t.test
with automatic homogenity of variance detection, effect size and power.tadaa_wilcoxon
: A wrapper for wilcox.test
tidied and optionally pixiedust
ed.tadaa_normtest
lets you do tests for normality (4 methods) over multiple variables.tadaa_pairwise_t
, tadaa_pairwise_gh
and tadaa_pairwise_tukey
for various pairwise procedures.modus
: A simple function to extract the mode of a frequency tablenom_chisqu
: Simple wrapper for chisq.test
that produces a single value.nom_phi
: Simple wrapper for vcd::assocstats
to extract phi.nom_v
: Simple wrapper for vcd::assocstats
to extract Cramer’s V.nom_c
: Simple wrapper for vcd::assocstats
to extract the contingency coefficient c.nom_lambda
: Simple wrapper for ryouready::nom.lambda
to extract appropriate lambda.ord_gamma
: Simple wrapper for ryouready::ord.gamma
.ord_somers_d
: Simple wrapper for ryouready::ord.somers.d
.generate_recodes
: To produce recode assignments for car::recode
for evenly sequenced clusters.interval_labels
: To produce labels for clusters created by cut
.tadaa_likertize
: Reduce a range of values to n
classes (methodologically wonky).delet_na
: Customizable way to drop NA
observations from a dataset.drop_labels
: If you subset a labelled
dataset, you might end up with labels that have no values with them. This function will drop the now unused labels
.pval_string
: Shamalessly adapted from pixiedust::pvalString
, this will format a p-value as a character string in common p < 0.001
notation and so on. The difference from the pixiedust
version is that this function will also print p < 0.05
.mean_ci_t
: Returns a data.frame
with y
(mean
), ymin
and ymax
for the CI bounds.
confint_t
: For the underlying function to get the CI width. Returns a single value.confint_norm
: Similar, but baes on normal distribution. Returns a single value.mean_ci_sem
: Standard error and CI, you guessed it, in one table.I rely on these awesome package for all the things this package does, so you might want to consider checking them out.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.