R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
grafify
View on CRAN: Click
here
Download and install grafify package within the R console
Install from CRAN:
install.packages("grafify")
Install from Github:
library("remotes")
install_github("cran/grafify") Install by package version:
library("remotes")
install_version("grafify", "5.1.0") Attach the package and use:
library("grafify")
Maintained by
Avinash R Shenoy
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-20
Latest Update: 2025-03-10
Description:
Easily explore data by plotting graphs with a few lines of code. Use these ggplot() wrappers to quickly draw graphs of scatter/dots with box-whiskers, violins or SD error bars, data distributions, before-after graphs, factorial ANOVA and more. Customise graphs in many ways, for example, by choosing from colour blind-friendly palettes (12 discreet, 3 continuous and 2 divergent palettes). Use the simple code for ANOVA as ordinary (lm()) or mixed-effects linear models (lmer()), including randomised-block or repeated-measures designs, and fit non-linear outcomes as a generalised additive model (gam) using mgcv(). Obtain estimated marginal means and perform post-hoc comparisons on fitted models (via emmeans()). Also includes small datasets for practising code and teaching basics before users move on to more complex designs. See vignettes for details on usage . Citation: .
How to cite:
Avinash R Shenoy (2022). grafify: Easy Graphs for Data Visualisation and Linear Models for ANOVA. R package version 5.1.0, https://cran.r-project.org/web/packages/grafify. Accessed 04 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:45), 2.0.0 (2022-01-20 09:22), 2.1.0 (2022-01-28 20:10), 2.2.0 (2022-03-24 09:40), 2.3.0 (2022-05-30 11:30), 3.0.0 (2022-10-23 14:15), 3.0.1 (2023-02-07 15:42), 3.2.0 (2023-04-30 00:40), 4.0.1 (2024-02-25 16:00), 4.0 (2023-10-07 13:10), 5.0.0.1 (2025-03-10 23:50), 5.0.0 (2025-03-09 21:30)
Other packages that cited grafify R package
View grafify citation profile
Other R packages that grafify depends,
imports, suggests or enhances
Complete documentation for grafify
Functions, R codes and Examples using
the grafify R package
Some associated functions: data_1w_death . data_2w_Festing . data_2w_Tdeath . data_cholesterol . data_doubling_time . data_t_pdiff . data_t_pratio . data_zooplankton . ga_anova . ga_model . get_graf_colours . graf_col_palette . graf_col_palette_default . graf_colours . graf_palettes . make_1way_data . make_1way_rb_data . make_2way_data . make_2way_rb_data . mixed_anova . mixed_anova_slopes . mixed_model . mixed_model_slopes . plot_3d_point_sd . plot_3d_scatterbar . plot_3d_scatterbox . plot_3d_scatterviolin . plot_4d_point_sd . plot_4d_scatterbar . plot_4d_scatterbox . plot_4d_scatterviolin . plot_befafter_box . plot_befafter_colours . plot_befafter_shapes . plot_density . plot_dotbar_sd . plot_dotbox . plot_dotviolin . plot_gam_predict . plot_grafify_palette . plot_histogram . plot_lm_predict . plot_logscale . plot_point_sd . plot_qq_gam . plot_qqline . plot_qqmodel . plot_scatterbar_sd . plot_scatterbox . plot_scatterviolin . plot_xy_CatGroup . plot_xy_NumGroup . posthoc_Levelwise . posthoc_Pairwise . posthoc_Trends_Levelwise . posthoc_Trends_Pairwise . posthoc_Trends_vsRef . posthoc_vsRef . scale_colour_grafify . scale_fill_grafify . simple_anova . simple_model . table_summary . table_x_reorder . theme_grafify .
Some associated R codes: data.R . ga_anova.R . ga_model.R . get_graf_colours.R . graf_colour_list.R . graf_colour_palettes_default_fun.R . graf_colour_palettes_fun.R . graf_palette_list.R . make_1way_data.R . make_1way_rb_data.R . make_2way_data.R . make_2way_rb_data.R . mixed_anova.R . mixed_anova_slopes.R . mixed_model.R . mixed_model_slopes.R . plot_3d_point_sd.R . plot_3d_scatterbar.R . plot_3d_scatterbox.R . plot_3d_scatterviolin.R . plot_4d_point_sd.R . plot_4d_scatterbar.R . plot_4d_scatterbox.R . plot_4d_scatterviolin.R . plot_befafter_box.R . plot_befafter_colours.R . plot_befafter_shapes.R . plot_density.R . plot_dotbar_sd.R . plot_dotbox.R . plot_dotviolin.R . plot_gam_predict.R . plot_grafify_palette.R . plot_histogram.R . plot_lm_predict.R . plot_logscales.R . plot_point_sd.R . plot_qq_gam.R . plot_qqline.R . plot_qqmodel.R . plot_scatterbar_sd.R . plot_scatterbox.R . plot_scatterviolin.R . plot_xy_CatGroup.R . plot_xy_NumGroup.R . posthoc_Levelwise.R . posthoc_Pairwise.R . posthoc_Trends_Levelwise.R . posthoc_Trends_Pairwise.R . posthoc_Trends_vsRef.R . posthoc_vsRef.R . scale_colour_grafify.R . scale_fill_grafify.R . simple_anova.R . simple_model.R . table_summary.R . table_x_reorder.R . theme_grafify.R . Full grafify package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
GLMMadaptive
Fits generalized linear mixed models for a single grouping factor under
maximum likelihood approxim ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Dimitris Rizopoulos (view profile)
epigraphdb
The interface package to access data from the
'EpiGraphDB' platform.
It p ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Yi Liu (view profile)
rCMA
Tool for providing access to the Java version 'CMAEvolutionStrategy' of
Nikolaus Hansen. 'CMA-ES' i ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Wolfgang Konen (view profile)
ggconf
A flexible interface for ggplot2theme potentially saving 50 of your typing. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Yasutaka Tanaka (view profile)
sValues
Implements the s-values proposed by Ed. Leamer. It provides a context-minimal approach for sensitivi ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Carlos Cinelli (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
28,083
R Packages
239,283
Dependencies
74,457
Author Associations
28,084
Publication Badges
