Tidy data (This is an informal and code heavy version of the full tidy data paper. Please refer to that for more details.) Data tidying It is often said that 80% of data analysis is spent on the cleaning and preparing data. And it’s not just a first step, but it must be repeated many times over the course of analysis as new problems come to light or new data is collected. To get a handle on the pr
An Introduction to emojifont package Guangchuang Yu Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University guangchuangyu@gmail.com 2021-04-20 emojifont: using emoji font in R The emojifont package is designed to bring emoji font to R users and is created for users that are impatient and relutant to learn. The package is very simple, pack some emoji fonts (curre
Clustering with the Leiden Algorithm in R This package allows calling the Leiden algorithm for clustering on an igraph object from R. See the Python and Java implementations for more details: https://github.com/CWTSLeiden/networkanalysis https://github.com/vtraag/leidenalg Install This package requires the ‘leidenalg’ and ‘igraph’ modules for python (2) to be installed on your system. For example:
Overview ggdag extends the powerful dagitty package to work in the context of the tidyverse. It uses dagitty’s algorithms for analyzing structural causal graphs to produce tidy results, which can then be used in ggplot2 and ggraph and manipulated with other tools from the tidyverse, like dplyr. Creating Directed Acyclic Graphs If you already use dagitty, ggdag can tidy your DAG directly. library(d
Get started with roxygen2 Documentation is one of the most important aspects of good code. Without it, users won’t know how to use your package, and are unlikely to do so. Documentation is also useful for you in the future (so you remember what the heck you were thinking!), and for other developers working on your package. The goal of roxygen2 is to make documenting your code as easy as possible.
Laying out multiple plots on a page Baptiste Auguié 2019-07-13 An individual ggplot object contains multiple pieces – axes, plot panel(s), titles, legends –, and their layout is defined and enforced via the gtable package, itself built around the lower-level grid package. Plots themselves become graphical objects, which can be arranged on a page using e.g. the gridExtra or egg packages, which prov
Documenting functions This vignette introduces the basics of roxygen2 for documenting functions. See vignette("rd-other") for documenting other types of objects and vignette("reuse") for reusing documentation across topics. Basics A roxygen block is a sequence of lines starting with #' (optionally preceded by white space). The first lines of the block is called the introduction and forms the title
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