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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", "4.0.1")
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
https://grafify.shenoylab.com/ . 10.32614/CRAN.package.grafify . https://github.com/ashenoy-cmbi/grafify . grafify citation info . grafify results . grafify.pdf . grafify_5.0.0.1.tar.gz . grafify_5.0.0.1.zip . grafify_5.0.0.1.zip . grafify_5.0.0.1.zip . grafify_5.0.0.1.tgz . grafify_5.0.0.1.tgz . grafify_5.0.0.1.tgz . grafify_5.0.0.1.tgz . grafify_5.0.0.1.tgz . grafify_5.0.0.1.tgz . grafify archive . https://CRAN.R-project.org/package=grafify .
First Published: 2022-01-20
Latest Update: 2024-02-25
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 4.0.1, https://cran.r-project.org/web/packages/grafify. Accessed 29 Mar. 2025.
Previous versions and publish date:
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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
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