Package: ggtrendline 1.0.3

ggtrendline: Add Trendline and Confidence Interval to 'ggplot'

Add trendline and confidence interval of linear or nonlinear regression model and show equation to 'ggplot' as simple as possible. For a general overview of the methods used in this package, see Ritz and Streibig (2008) <doi:10.1007/978-0-387-09616-2> and Greenwell and Schubert Kabban (2014) <doi:10.32614/RJ-2014-009>.

Authors:Weiping Mei [aut, cre, cph], Guangchuang Yu [aut], Brandon M. Greenwell [aut], Jiangshan Lai [ctb], Zhendu Mao [ctb], Yu Umezawa [ctb], Jun Zeng [ctb], Jun Wang [ctb]

ggtrendline_1.0.3.tar.gz
ggtrendline_1.0.3.zip(r-4.7)ggtrendline_1.0.3.zip(r-4.6)ggtrendline_1.0.3.zip(r-4.5)
ggtrendline_1.0.3.tgz(r-4.6-any)ggtrendline_1.0.3.tgz(r-4.5-any)
ggtrendline_1.0.3.tar.gz(r-4.7-any)ggtrendline_1.0.3.tar.gz(r-4.6-any)
ggtrendline_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ggtrendline/json (API)

# Install 'ggtrendline' in R:

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

Bug tracker:https://github.com/phdmeiwp/ggtrendline/issues

On CRAN:

4.62 score 28 stars 30 scripts 244 downloads 9 exports 17 dependencies

Last updated from:95ad61ac29. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	119
source / vignettes	OK	155
linux-release-x86_64	OK	107
macos-release-arm64	OK	127
macos-oldrel-arm64	OK	188
windows-devel	OK	75
windows-release	OK	99
windows-oldrel	OK	77
wasm-release	OK	105

Exports:ggtrendline predFit SSexp2P SSexp3P SSpower2P SSpower3P stat_eq stat_rrp trendline_sum

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle R6 RColorBrewer rlang S7 scales vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Add Trendline and Confidence Interval to 'ggplot'	ggtrendline
Predictions from a Fitted Model	predFit predFit.default predFit.nls
Self-Starting Nls 'exp2P' Regression Model	SSexp2P
Self-Starting Nls 'exp3P' Regression Model	SSexp3P
Self-Starting Nls 'power2P' Regression Model	SSpower2P
Self-Starting Nls 'power3P' Regression Model	SSpower3P
Add Equation to 'ggplot'	stat_eq
Add R square and P-value to 'ggplot'	stat_rrp
Summarized Results of Each Regression Model	trendline_sum