lehuynh

Le-Huynh Truc-Ly’s R Code and Templates

lehuynh is an R package comprising a collection of miscellaneous R functions and templates that I find particularly useful.

This package includes:

• Functions for graphics, data importation, data transformation, and general utilities.
• Templates 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")

This package is also accessible for download via Zenodo with the DOI 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.