The goal of ggpubr-tutorial is to introduce ggpubr to graduate students who want to learn how to make publication ready figures.
In this tutorial, I create a ma plot and a box plot using ggpubr. The tutorial can be viewed at https://www.shauritahutchins.com/ggpubr-tutorial/.
Also, the powerpoint slides are available on Canva.
ggpubr is an R package that provides easy-to-use functions for creating and customizing 'ggplot2'-based publication ready plots. These include histograms, violin plots, dot plots, MA plots, QQ plots, correlation plots, pie charts, donut charts, and more. It also provides basic statistical functions. With ggpubr, it is easy to produce professional-quality plots with just a few lines of code.
In order to rerun this code, the below should be installed:
- R v 4.1.1
- R studio
ggpubrtidyverse
Install the R packages with:
install.packages(c('ggpubr', 'tidyverse'))If you're familiar with git, you can clone this repository using git clone https://github.com/sdhutchins/ggpubr-tutorial.git.
However, if you are not comfortable with git, please download the zip archive of this tutorial at https://github.com/sdhutchins/ggpubr-tutorial/archive/refs/heads/main.zip.
R version 4.1.1 (2021-08-10)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS 13.0.1
Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] forcats_0.5.2 stringr_1.4.1 dplyr_1.0.10 purrr_0.3.5 readr_2.1.3
[6] tidyr_1.2.0 tibble_3.1.8 tidyverse_1.3.2 ggpubr_0.4.0 ggplot2_3.3.6
loaded via a namespace (and not attached):
[1] tidyselect_1.1.2 xfun_0.34 haven_2.5.1 gargle_1.2.1
[5] carData_3.0-5 colorspace_2.0-3 vctrs_0.4.1 generics_0.1.3
[9] htmltools_0.5.3 yaml_2.3.6 utf8_1.2.2 rlang_1.0.6
[13] pillar_1.8.1 glue_1.6.2 withr_2.5.0 DBI_1.1.3
[17] dbplyr_2.2.1 readxl_1.4.1 modelr_0.1.9 lifecycle_1.0.3
[21] munsell_0.5.0 ggsignif_0.6.4 gtable_0.3.1 cellranger_1.1.0
[25] rvest_1.0.3 evaluate_0.17 knitr_1.40 tzdb_0.3.0
[29] fastmap_1.1.0 fansi_1.0.3 broom_1.0.1 scales_1.2.1
[33] backports_1.4.1 googlesheets4_1.0.1 jsonlite_1.8.3 abind_1.4-5
[37] fs_1.5.2 hms_1.1.2 digest_0.6.30 stringi_1.7.8
[41] rstatix_0.7.0 grid_4.1.1 cli_3.4.1 tools_4.1.1
[45] magrittr_2.0.3 crayon_1.5.2 car_3.1-0 pkgconfig_2.0.3
[49] ellipsis_0.3.2 xml2_1.3.3 reprex_2.0.2 lubridate_1.8.0
[53] googledrive_2.0.0 httr_1.4.4 assertthat_0.2.1 rmarkdown_2.17
[57] rstudioapi_0.14 R6_2.5.1 compiler_4.1.1