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Mashup Score: 19How to add boxplots or density plots side-by-side a scatterplot: a single cell case study | DNA confesses Data speak - 2 month(s) ago
introduce ggside using single cell data The ggside R package provides a new way to visualize data by combining the flexibility of ggplot2 with the power of side-by-side plots. We will use a single cell dataset to demonstrate its usage. ggside allows users to create side-by-side plots of multiple variables, such as gene expression, cell type, and experimental conditions. This can be helpful for identifying patterns and trends in scRNA-seq data that would be difficult to see in individual plots.
Categories: General Medicine News, Hem/OncsTweet
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Mashup Score: 7
n n First, we need to answer some basic questions like how common is Friday the 13th? n Depending on the year, Friday the 13th can occur either once, twice, or three times. But how many times does it occur on average per year? n Using Rstats, we can make a simple function to count the numnber of Friday the 13ths using the weekday() function. We can either call this function once (e.g. how many Friday 13ths were there in 2023) or repeatedly (e.g. what’s the average number of Friday the 13ths per year
Source: github.comCategories: Critical Care, Latest HeadlinesTweet-
The answer is ~1.72 Friday the 13ths/year. Because month lengths differ, no matter which day the year begins on at least one 13th will fall on a Friday. There can be up to 3 Friday the 13ths. We can see this in Excel (left) or more using #Rstats (right) https://t.co/6mYZnan3Nm https://t.co/utPqXDqel9
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Mashup Score: 9RStudio User Guide - GitHub Copilot - 7 month(s) ago
GitHub Copilot is currently in public Preview GitHub Copilot is an “AI pair programmer that offers autocomplete-style suggestions as you code”. GitHub Copilot is available as an opt-in integration with RStudio. This feature is currently in Preview. Copilot support is expected to be generally available in RStudio desktop, RStudio server and Posit Workbench in a future release. To provide…
Source: docs.posit.coCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 6Unravelling Transparency in Coverage Data | R-bloggers - 8 month(s) ago
I have a challenge: extracting data from an enormous JSON file. The structure of the file is not ideal: it’s a mapping at the top level, which means that for most standard approaches the entire document needs to be loaded before it can be processed. It would have been so much easier if the top level structure was an array. But, alas. It’s almost as if the purveyors of the data have made it intentionally inaccessible.
Source: www.r-bloggers.comCategories: Healthcare Professionals, Latest HeadlinesTweet-
RT @atulbutte: How to read the @UnitedHealthGrp Transparency in Coverage data collection into #Rstats… https://t.co/EPcewet9SU via @rblogge…
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Mashup Score: 3Coordinate-Based Genomic Visualization Package for R - 9 month(s) ago
Coordinate-based genomic visualization package for R. It grants users the ability to programmatically produce complex, multi-paneled figures. Tailored for genomics, plotgardener allows users to visualize large complex genomic datasets and provides exquisite control over how plots are placed and arranged on a page.
Source: phanstiellab.github.ioCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 423 RStudio Tips, Tricks, and Shortcuts for Data Science — Dataquest - 9 month(s) ago
RStudio is a powerful tool for data analysis. Here are 23 tips, tricks, and shortcuts to turn you into an RStudio power user!
Source: DATAQUESTCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 275R for Data Science (2e) - 9 month(s) ago
This is the website for the 2nd edition of “R for Data Science”. This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it and visualize. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and…
Source: r4ds.hadley.nzCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 267R for Data Science (2e) - 9 month(s) ago
This is the website for the 2nd edition of “R for Data Science”. This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it and visualize. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and…
Source: r4ds.hadley.nzCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 15Top R Packages for Beautiful Table Visualization - 10 month(s) ago
The packages we will cover in this article include: knitr, kableExtra, DT, formattable, gt, gtsummary, flextable.
Source: MediumCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 12Gene Set Enrichment Analysis using RNA Sequencing Data 🧬 - 10 month(s) ago
Pathway analysis is common for RNAseq downstream analysis. I will show you step by step How to do gene set over-representation analysis and gene set enrichme…
Source: YouTubeCategories: Hem/Oncs, Latest HeadlinesTweet
RT @tangming2005: How to add boxplots or density plots side-by-side a scatterplot: a single cell case study https://t.co/hDuC7iaez2 #rstats…