Color Palette

Custom Color Palette Retrieval

mStat_get_palette Function

Choosing the right color palette is essential for creating visually appealing and informative data visualizations. The mStat_get_palette() function in MicrobiomeStat allows users to easily access and utilize a variety of color palettes, especially those inspired by and sourced from the scientific publication realm, through the ggsci package.

Overview

mStat_get_palette() is tailored for users who need predefined or custom color palettes for their data visualizations in R. It offers an extensive selection from the ggsci package, known for its scientific journal-inspired palettes, as well as the flexibility to specify custom color sets.

Functionality:

• Access predefined palettes like 'npg', 'aaas', 'nejm', 'lancet', 'jama', 'jco', and 'ucscgb' from the ggsci package.

• Provide a vector of custom color codes.

• Return a default palette in case of NULL input or unrecognized palette names.

Usage

# Default palette
mStat_get_palette()

# Predefined `ggsci` palette: 'nejm'
mStat_get_palette("nejm")

# Custom color vector
mStat_get_palette(c("#123456", "#654321"))

Parameters

• palette: A character string for predefined palettes or a vector of color codes. If NULL or unrecognized, a default palette is used.

Details

Here's a glimpse into the functioning of mStat_get_palette():

• It first checks if the palette parameter is NULL, a character string, or a vector.

• For a character string, it verifies if the name matches one of the predefined palettes in the ggsci database.

• If a match is found, the corresponding palette is returned.

• For a vector input, the vector itself is returned as the palette.

• In case of NULL or an unrecognized input, a default set of colors is provided.

Applications

This function is highly beneficial for:

• Enhancing the visual appeal of data plots in scientific publications.

• Customizing color schemes to match specific publication or presentation themes.

• Ensuring consistency and accuracy of color representation in multiple visualizations.

Visual Representation

• npg

• lancet

• aaas

• nejm

• jama

• jco

• ucscgb