Graphical Displays for Structured Problem Solving and Diagnosis
Create Project Folder
Draw Cartesian Small Multiples Plot
Draw Categorical Scatter Plot
Draw horizontal reference line
Draw Interaction Plot
Draw Multivari Plot
Draw Multivari Plot for Counts
Draw Pareto Chart
Draw Grouped Pareto Chart
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
Normalize observations
Pipe operator
Plot Tukey-Duckworth Paired Test
Plot Tukey-Duckworth Test
Save Analysis
Sherlock Color Palettes
Sherlock Fill Color Palettes
Select Low-High Units
Select Low-High Units
Theme Sherlock
Tidy eval helpers
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).
Useful links