Other packages > Find by keyword >

sherlock  

Graphical Displays for Structured Problem Solving and Diagnosis
View on CRAN: Click here


Download and install sherlock package within the R console
Install from CRAN:
install.packages("sherlock")

Install from Github:
library("remotes")
install_github("cran/sherlock")

Install by package version:
library("remotes")
install_version("sherlock", "0.7.0")



Attach the package and use:
library("sherlock")
Maintained by
Gabor Szabo
[Scholar Profile | Author Map]
First Published: 2022-11-17
Latest Update: 2023-06-11
Description:
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).
How to cite:
Gabor Szabo (2022). sherlock: Graphical Displays for Structured Problem Solving and Diagnosis. R package version 0.7.0, https://cran.r-project.org/web/packages/sherlock. Accessed 22 Apr. 2025.
Previous versions and publish date:
0.5.1 (2022-11-17 15:10), 0.6.0 (2023-02-10 14:20)
Other packages that cited sherlock R package
View sherlock citation profile
Other R packages that sherlock depends, imports, suggests or enhances
Complete documentation for sherlock
Functions, R codes and Examples using the sherlock R package
Some associated functions: create_project_folder . draw_cartesian_small_multiples . draw_categorical_scatterplot . draw_horizontal_reference_line . draw_interaction_plot . draw_multivari_plot . draw_multivari_plot_count . draw_pareto_chart . draw_pareto_chart_grouped . draw_polar_small_multiples . draw_process_behavior_chart . draw_small_multiples_line_plot . draw_timeseries_scatterplot . draw_vertical_reference_line . draw_youden_plot . load_file . load_files . multi_vari_data . multi_vari_data_2 . normalize_observations . pipe . plot_tukey_duckworth_paired_test . plot_tukey_duckworth_test . polar_small_multiples_data . save_analysis . scale_color_sherlock . scale_fill_sherlock . select_low_high_units . select_low_high_units_manual . small_multiples_data . theme_sherlock . tidyeval . timeseries_scatterplot_data . youden_plot_data . youden_plot_data_2 . 
Some associated R codes: create_project_folder.R . draw_cartesian_small_multiples.R . draw_categorical_scatterplot.R . draw_horizontal_reference_line.R . draw_interaction_plot.R . draw_multivari_plot.R . draw_multivari_plot_count.R . draw_pareto_chart.R . draw_pareto_chart_grouped.R . draw_polar_small_multiples.R . draw_process_behavior_chart.R . draw_small_multiples_line_plot.R . draw_timeseries_scatterplot.R . draw_vertical_reference_line.R . draw_youden_plot.R . globals.R . load_file.R . load_files.R . multivari_data.R . multivari_data_2.R . normalize_observations.R . plot_tukey_duckworth_paired_test.R . plot_tukey_duckworth_test.R . polar_small_multiples_data.R . save_analysis.R . scale_color_sherlock.R . scale_fill_sherlock.R . select_low_high_units.R . select_low_high_units_manual.R . small_multiples_data.R . theme_sherlock.R . timeseries_scatterplot_data.R . utils-pipe.R . utils-tidy-eval.R . youden_plot_data.R . youden_plot_data_2.R .  Full sherlock package functions and examples
Downloads during the last 30 days
03/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/20Downloads for sherlock2468101214161820TrendBars

Today's Hot Picks in Authors and Packages

ino  
Initialization of Numerical Optimization
Analysis of the initialization for numerical optimization of real-valued functions, including likel ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
GWPR.light  
Geographically Weighted Panel Regression
Geographically weighted panel regression is grounded in a branch of spatial statistics. Using geogra ...
Download / Learn more Package Citations See dependency  
Qest  
Quantile-Based Estimator
Quantile-based estimators (Q-estimators) can be used to fit any parametric distribution, using its q ...
Download / Learn more Package Citations See dependency  
optimStrat  
Choosing the Sample Strategy
Intended to assist in the choice of the sampling strategy to implement in a survey. ...
Download / Learn more Package Citations See dependency  
phylosamp  
Sample Size Calculations for Molecular and Phylogenetic Studies
Implements novel tools for estimating sample sizes needed for phylogenetic studies, including studi ...
Download / Learn more Package Citations See dependency  

24,098

R Packages

207,311

Dependencies

65,069

Author Associations

24,099

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA