sherlock: Graphical Displays to Aid Structured Problem Solving and Diagnosis

Powerful graphical displays and statistical tools for structured problem solving and diagnosis. The functions of the 'sherlock' package are especially useful for applying the process of elimination as a problem diagnosis technique. The 'sherlock' package was designed to seamlessly work with the 'tidyverse' set of packages and provides a collection of graphical displays built on top of the 'ggplot' and 'plotly' packages, such as different kinds of small multiple plots as well as helper functions such as adding reference lines, normalizing observations, reading in data or saving analysis results in an Excel file. References: David Hartshorne (2019, ISBN: 978-1-5272-5139-7). Stefan H. Steiner, R. Jock MacKay (2005, ISBN: 0873896467).

Version: 0.5.1
Depends: R (≥ 2.10)
Imports: magrittr, rlang (≥ 0.4.11), forcats, ggplot2, dplyr, cowplot, scales, ggh4x, stringr, plotly, readr, openxlsx
Suggests: roxygen2
Published: 2022-11-17
Author: Gabor Szabo [aut, cre]
Maintainer: Gabor Szabo <gabor.attila.szabo at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: sherlock results


Reference manual: sherlock.pdf


Package source: sherlock_0.5.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sherlock_0.5.1.tgz, r-oldrel (arm64): sherlock_0.5.1.tgz, r-release (x86_64): sherlock_0.5.1.tgz, r-oldrel (x86_64): sherlock_0.5.1.tgz


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