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: 0.7.0 Depends: R (≥ 2.10) Imports: magrittr, rlang (≥ 0.4.11), forcats, ggplot2, dplyr, tidyr, cowplot, scales, ggh4x, stringr, plotly, readr, openxlsx, purrr, fs, rstudioapi, tidytext Suggests: roxygen2 Published: 2023-06-11 DOI: 10.32614/CRAN.package.sherlock Author: Gabor Szabo [aut, cre] Maintainer: Gabor Szabo <gabor.attila.szabo at gmail.com> BugReports: https://github.com/gaboraszabo/sherlock/issues License: MIT + file LICENSE URL: https://github.com/gaboraszabo/sherlock, https://gaboraszabo.github.io/sherlock/ NeedsCompilation: no Materials: README CRAN checks: sherlock results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=sherlock to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4