lehuynh

Personal R package

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lehuynh is an R package comprising a collection of miscellaneous R functions and templates that I find particularly useful. This package includes:
- Functions pertaining to graphics, data importation, data transformation, and general utilities.
- Templates designed for Exploratory Analysis, Bayesian modeling, and crafting scientific manuscripts.

Installation

lehuynh R package is available on CRAN via:

install.packages("lehuynh")

To get the latest in-development features, install the development version from GitHub:

if(!requireNamespace("devtools", quietly = TRUE)) {
 install.packages("devtools")
}
devtools::install_github("le-huynh/lehuynh")

Additionally, this package is accessible for download via Zenodo at 10.5281/zenodo.11522849.

Functions

  • ggsave_elsevier( ): Save a plot using ggplot2::ggsave( ). Plot size follows instructions of Elsevier journals
  • import_data( ): Imports multiple data files of the same format from a specified directory. The output is a named list of imported objects
  • import_excel( ): Imports an Excel file with multiple sheets and returns a named list of imported sheets
  • lehuynh_theme( ): Personal ggplot2 theme (white background, black axis, black text, etc.)
  • MinMaxScaling( ): Min-max normalization (min = 0, max = 1)
  • new_project( ): Create a project for reproducible purpose
  • ngrams_filter(): Filter and generate N-Grams from text data
  • plot_networkD3(): Plot network using NetworkD3
  • ppc_brms( ): Plot fitted versus observed values for brmsfit Objects
  • tidytuesday( ): Create a new folder for #tidytuesday challenge
  • tsi( ): Calculate TSI (Trophic state index) (Carlson, 1977)

Templates

  • draft_elsevier: Creating an Rmarkdown manuscript for Elsevier journals (example)
  • lehuynh_Bayes_brms: Basic steps to fit, check, and interpret a Bayesian model via brms package
  • lehuynh_EA: Basic steps to do Exploratory Analysis

For a comprehensive overview of the package’s functions, check out the package website at
le-huynh.github.io/lehuynh/.