This is tadaatoolbox version 0.11.9000 (semver).
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.

As a sideproject, I attempted to visualize the package depencencies in this document. It’s not optimal yet, but at least it’s a glimpse of the first two layers of dependencies.

# Installation

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")

# Contribution

Please do! I have no idea where I’m going with this. Feel free to open issues.

## Contributers

Contributer Role
Lukas Burk Author & Creator
Tobias Anton Author
Daniel Lüdecke Contributor

# Functionality

See the included vignette for a demonstration: browseVignettes("tadaatoolbox") or view the current version in this repository on GitHub pages.

## Tidy test output

• tadaa_aov: For aov with included partial $$\eta^2$$ and Cohen’s f.
• tadaa_kruskal: A wrapper for kruskal.test tidied and optionally pixiedusted.
• 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 pixiedusted.
• tadaa_normtest lets you do tests for normality (4 methods) over multiple variables.

## Statistical functions

• modus: A simple function to extract the mode of a frequency table
• nom_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.

### Summaries

• tadaa_nom: All the nominal stats in one table.
• tadaa_ord: All the ordinal stats in one table.

## Misc. helpers

• 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.
• labels_to_factor: If you mix and match sjPlot, haven and ggplot2, you might need to translate labels to factors, which is precisely what this functions does. Drop in data.frame with label, receive data.frame with factors.
• 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.

## Helpers for plots

### CI calculators

• 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.

### Plotting templates

• tadaa_int: Simple interaction plot template.
• tadaa_heatmap: Simple heatmap template.
• tadaa_mean_ci: Plots means with 95% confidence intervals as errorbars.

# Dependencies

I rely on these awesome package for all the things this package does, so you might want to consider checking them out.

• stats
• broom
• dplyr
• pwr
• pixiedust
• car
• ggplot2
• lazyeval
• sjmisc
• haven