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ggpmisc
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", "0.6.1")
Attach the package and use:
library("ggpmisc")
Maintained by
Pedro J. Aphalo
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.ggpmisc . https://github.com/aphalo/ggpmisc/issues . https://docs.r4photobiology.info/ggpmisc/ . https://github.com/aphalo/ggpmisc . ggpmisc results . ggpmisc.pdf . ggpmisc_0.6.1.tar.gz . ggpmisc_0.6.1.zip . ggpmisc_0.6.1.zip . ggpmisc_0.6.1.zip . ggpmisc_0.6.1.tgz . ggpmisc_0.6.1.tgz . ggpmisc_0.6.1.tgz . ggpmisc_0.6.1.tgz . ggpmisc_0.6.1.tgz . ggpmisc_0.6.1.tgz . ggpmisc archive . https://CRAN.R-project.org/package=ggpmisc .
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 0.6.1, https://cran.r-project.org/web/packages/ggpmisc. Accessed 01 Apr. 2025.
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), 0.5.6 (2024-05-07 21:20), 0.6.0 (2024-06-28 02:10)
Other packages that cited ggpmisc R package
View ggpmisc citation profile
Other R packages that ggpmisc depends,
imports, suggests or enhances
Complete documentation for ggpmisc
Functions, R codes and Examples using
the ggpmisc R package
Some associated functions: FC_format . FC_name . coef.lmodel2 . confint.lmodel2 . fail_safe_formula . find_peaks . ggpmisc-ggproto . ggpmisc-package . keep_tidy . moved-to-gginnards . outcome2factor . predict.lmodel2 . reverselog_trans . scale_colour_logFC . scale_colour_outcome . scale_shape_outcome . scale_x_logFC . scale_y_Pvalue . stat_correlation . stat_fit_augment . stat_fit_deviations . stat_fit_glance . stat_fit_residuals . stat_fit_tb . stat_fit_tidy . stat_ma_eq . stat_ma_line . stat_multcomp . stat_peaks . stat_poly_eq . stat_poly_line . stat_quant_band . stat_quant_eq . stat_quant_line . swap_xy . symmetric_limits . use_label . xy_outcomes2factor .
Some associated R codes: ggpmisc.R . keep-tidy.R . lmodel2-util.R . moved-to-gginnards.R . stat-correlation.R . stat-fit-broom-tb.R . stat-fit-broom.R . stat-fit-deviations.R . stat-fit-residuals.R . stat-ma-eq.R . stat-ma-line.R . stat-multcomp.R . stat-peaks.R . stat-poly-eq.R . stat-poly-line.R . stat-quant-eq.R . use-label.R . utilities.R . Full ggpmisc package functions and examples
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