The Ultimate Guide to the condformat Package in R

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Explore valuable documentation and insights to make the most of the condformat package in R. Get ready to unlock the full potential of the condformat package!

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What is the condformat package?

In this section, we’ll delve into the fundamental aspects and key features of the package.

condformat is an R package that provides tools for conditional formatting in data frames. It includes functions for defining rules, applying formatting, and displaying results in various formats.

Title: Conditional Formatting in Data Frames
Description: Apply and visualize conditional formatting to data frames in R. It renders a data frame with cells formatted according to criteria defined by rules, using a tidy evaluation syntax. The table is printed either opening a web browser or within the 'RStudio' viewer if available. The conditional formatting rules allow to highlight cells matching a condition or add a gradient background to a given column. This package supports both 'HTML' and 'LaTeX' outputs in 'knitr' reports, and exporting to an 'xlsx' file.
Author: Sergio Oller Moreno [aut, cph, cre] ()
Maintainer: Sergio Oller Moreno

How to install the condformat package?

In this section, we’ll walk you through the process of installing and loading the condformat package. By following these steps, you can seamlessly add new functions, datasets, and other resources to your R environment for a more robust workflow.

# Install the {Package} package if it's not already installed
if (!require("{Package}")) {
    install.packages("{Package}")
}


# Load the {Package} package
library("{Package}")

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What package information should you know?

In this section, we’ll go over the technical aspects of the condformat package.

Key features

Datasets: Many R packages include built-in datasets that you can use to familiarize yourself with their functionalities. To identify built-in datasets. To identify the datasets for the condformat package, visit our database of R datasets.
Vignettes: R vignettes are documents that include examples for using a package. To view the list of available vignettes for the condformat package, you can visit our visit our database of R vignettes.
Citation: Citing R packages in your publications is important as it recognizes the contributions of the developers. To find citation information for the condformat package, visit our database of R package citations.

Technical details

License type: BSD_3_clause + file LICENSE. For license details, visit the Open Source Initiative website.
Compilation requirements: Some R packages include internal code that must be compiled for them to function correctly. The condformat package does not have compilation requirements.
Required dependencies: A required dependency refers to another package that is essential for the functioning of the main package. The condformat package has no required dependencies.
Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The condformat package has the following suggested dependencies: promises, shiny (>= 1.0.5), testthat (>= 1.0), vdiffr (>= 1.0.4).
External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The condformat package does not use any external sources.
Imported packages: Importing packages allows developers to leverage existing code and functionalities without having to reinvent the wheel. The condformat package has the following imported packages: dplyr (>= 0.7.7), grDevices, gridExtra (>= 2.3), gtable (>= 0.2.0), htmlTable (>= 1.9), htmltools (>= 0.3.6), knitr (>= 1.20), magrittr (>= 1.5), openxlsx (>= 4.1.5), rmarkdown (>= 1.10), rlang (>= 0.3.0), scales (>= 1.0.0), tibble (>= 1.3.4), tidyselect (>= 1.0.0).
Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The condformat package has no enhancements.

How to get help with the condformat package?

In this section, we’ll discuss a variety of available resources for getting help with the condformat package.

Key resources

The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("condformat") function to retrieve detailed information, examples, and usage instructions. Alternatively, you can use the ? operator as a shortcut.
Package website: The condformat package has a dedicated website. You can visit: https://zeehio.github.io/condformat/, https://github.com/zeehio/condformat.
Developer support: You can email Sergio Oller Moreno . For contact information, visit our R community directory.

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