ggh4x: Hacks for 'ggplot2'

Canonical link: https://rscholar.com/pkg/ggh4x

Teun van den Brand • View description and downloads View dependencies GitHub project

2021 Published

0.2.8 Version

0 Citations

1 Authors

Referenced by ⇅	Year
ggcoverage: Visualize Genome Coverage with Various Annotations (Version 0.7.1)	2022
epiCleanr: A Tidy Solution for Epidemiological Data (Version 0.2.0)	2023
BiostatsUHNplus: Nested Data Summary, Adverse Events and REDCap (Version 0.0.10)	2023
LMMstar: Repeated Measurement Models for Discrete Times (Version 1.1.0)	2021
MiscMetabar: Miscellaneous Functions for Metabarcoding Analysis (Version 0.10.1)	2024
QurvE: Robust and User-Friendly Analysis of Growth and Fluorescence Curves (Version 1.1.1)	2023
SCpubr: Generate Publication Ready Visualizations of Single Cell Transcriptomics Data (Version 2.0.2)	2022
coveffectsplot: Produce Forest Plots to Visualize Covariate Effects (Version 1.0.5)	2018
deeptime: Plotting Tools for Anyone Working in Deep Time (Version 2.1.0)	2021
esci: Estimation Statistics with Confidence Intervals (Version 1.0.5)	2024
estimators: Parameter Estimation (Version 0.8.5)	2024
ggfixest: Dedicated 'ggplot2' Methods for 'fixest' Objects (Version 0.1.0)	2023
ggpicrust2: Make 'PICRUSt2' Output Analysis and Visualization Easier (Version 1.7.3)	2023
ggquickeda: Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary Tables (Version 0.3.1)	2018
ggseqplot: Render Sequence Plots using 'ggplot2' (Version 0.8.4)	2022
microdiluteR: Analysis of Broth Microdilution Assays (Version 1.0.1)	2024
nichetools: Complementary Package to 'nicheROVER' and 'SIBER' (Version 0.3.2)	2024
plutor: Useful Functions for Visualization (Version 0.1.0)	2023
priorsense: Prior Diagnostics and Sensitivity Analysis (Version 1.0.3)	2024
robustlmm: Robust Linear Mixed Effects Models (Version 3.3-1)	2013
sherlock: Graphical Displays for Structured Problem Solving and Diagnosis (Version 0.7.0)	2022

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.