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ggpmisc  

Miscellaneous Extensions to 'ggplot2'
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ggpmisc", "0.5.5")



Attach the package and use:
library("ggpmisc")
Maintained by
Pedro J. Aphalo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-30
Latest Update: 2023-08-13
Description:
Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Statistics: locate and tag peaks and valleys; label plot with the equation of a fitted polynomial or other types of models; labels with P-value, R^2 or adjusted R^2 or information criteria for fitted models; label with ANOVA table for fitted models; label with summary for fitted models. Model fit classes for which suitable methods are provided by package 'broom' and 'broom.mixed' are supported. Scales and stats to build volcano and quadrant plots based on outcomes, fold changes, p-values and false discovery rates.
How to cite:
Pedro J. Aphalo (2016). ggpmisc: Miscellaneous Extensions to 'ggplot2'. R package version 0.5.5, https://cran.r-project.org/web/packages/ggpmisc
Previous versions and publish date:
0.2.5 (2016-01-30 00:29), 0.2.6 (2016-02-25 21:22), 0.2.7 (2016-03-22 20:12), 0.2.8 (2016-05-22 09:20), 0.2.9 (2016-06-18 15:15), 0.2.10 (2016-07-30 09:30), 0.2.12 (2016-10-22 16:21), 0.2.13 (2016-11-26 12:10), 0.2.14 (2017-02-02 01:06), 0.2.15 (2017-05-14 19:30), 0.2.16 (2017-09-17 17:26), 0.2.17 (2018-05-04 18:48), 0.3.0 (2018-07-16 15:40), 0.3.1 (2019-04-02 10:30), 0.3.2 (2019-11-11 15:50), 0.3.3 (2019-12-02 00:00), 0.3.4 (2020-04-22 19:04), 0.3.5 (2020-06-01 10:10), 0.3.6 (2020-09-07 14:10), 0.3.7 (2020-11-09 10:40), 0.3.8-1 (2021-01-27 18:40), 0.3.8 (2021-01-25 06:50), 0.3.9 (2021-04-04 06:40), 0.4.0 (2021-06-03 21:50), 0.4.1 (2021-08-02 12:00), 0.4.2-1 (2021-08-15 11:00), 0.4.2 (2021-08-04 06:50), 0.4.3 (2021-09-03 10:40), 0.4.4 (2021-10-31 21:40), 0.4.5 (2021-12-11 20:30), 0.4.6 (2022-04-10 21:22), 0.4.7 (2022-06-15 12:40), 0.5.0 (2022-08-12 14:40), 0.5.1 (2022-10-16 02:23), 0.5.2 (2022-12-18 00:10), 0.5.3 (2023-06-24 20:50), 0.5.4-1 (2023-08-13 22:20), 0.5.5 (2023-11-15 10:30)
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