Package: effectclass 0.1.5

Thierry Onkelinx

effectclass: Classification and Visualisation of Effects

Classify effects by comparing the confidence intervals with thresholds.

Authors:Thierry Onkelinx [aut, cre], Research Institute for Nature and Forest [cph, fnd]

# Install 'effectclass' in R:

install.packages('effectclass', repos = c('https://inbo.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Last updated from:a7aa52cd9b. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	167
source / vignettes	OK	244
linux-release-x86_64	OK	136
macos-release-arm64	OK	108
macos-oldrel-arm64	OK	151
windows-devel	OK	211
windows-release	OK	111
windows-oldrel	OK	123
wasm-release	OK	137

Thierry Onkelinx

Last update: 2023-10-27
Started: 2020-01-04

Thierry Onkelinx

Last update: 2023-10-27
Started: 2020-01-04

Help page	Topics
Add a point symbol with classification to a 'plotly' object	add_classification
Add a fan plot to a 'plotly' object	add_fan
Logarithmic breaks for changes	change_breaks
Display logarithmic changes as percentage	change_labels
Return a standardised set of labels for the classification	class_labels
Classify Effects by Comparing the Confidence Intervals with a Reference and Thresholds	classification
Use a Lower Scale Classification	coarse_classification
Format an Estimate and Confidence Interval as Text	format_ci
Check If an Object Is a Valid Effectclass Object	is_effectclass
Create 'plotly'references Returns a list shapes you can pass to the 'shapes' argument of 'plotly::layout()'	reference_shape
Create 'plotly'reference text Returns a list text you can pass to the 'annotations' argument of 'plotly::layout()'	reference_text
Remove the sign of a classification	remove_sign
A scale for effect points	scale_effect
Display points with classified effect	stat_effect
Display a fan plot	StatFan stat_fan
Flatten Lists	unlist