CRAN/E | sherlock

sherlock

Graphical Displays for Structured Problem Solving and Diagnosis

Installation

About

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).

github.com/gaboraszabo/sherlock
gaboraszabo.github.io/sherlock/
Bug report File report

Key Metrics

Version 0.7.0
R ≥ 2.10
Published 2023-06-11 483 days ago
Needs compilation? no
License MIT
License File
CRAN checks sherlock results

Downloads

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Maintainer

Maintainer

Gabor Szabo

Authors

Gabor Szabo

aut / cre

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

sherlock archive

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