R Dev Day @ SIP 2024 This year Shiny in Production hosted an “R Dev Day” split over the two days before the pre-conference workshops. R Dev Days are a new initiative of the R Contribution Working Group, providing an opportunity for R ...

Need to learn how to create a volcano plot in R and visualize differential gene expression effectively?Creating a volcano plot in R is essential for any researcher working with bioinformatics and RNA-Seq data. It allows you to easily identify which genes are upregulated or downregulated with significant changes between ...

Table of Contents Introduction Understanding the Basics Working with subset() Function Advanced Techniques Best Practices Your Turn FAQs References Introduction Data manipulation is a cornerstone of R programming, and selecting specific col...

Shanghai Composite does not seem to be at an ideal point for entry. Source code:

Introduction to Logical Operators Logical operators are fundamental building blocks in C programming that allow us to make decisions and control program flow based on multiple conditions. These operators work with Boolean values (true/false) an...

Introduction Data manipulation is a crucial skill in R programming, and subsetting data frames is one of the most common operations you’ll perform. This comprehensive guide will walk you through four powerful methods to subset data frames in R,...

Introduction Social network analysis examines individual entities and their relationships among them. The data is represented as a “graph” where individual entities are referred to as “nodes” and their relationships between them as “edges. A primary area of study in SNA is the analysis of interconnectivity of nodes, called ”communities” ...

Meltwater in crevasses in Greenland – CC-BY-NC by NASA’s Marshall Space Flight Center Day 11 of 30DayMapChallenge: « Arctic » (previously). We’ll use the Greenland 5 km DEM, Ice Thickness, and Bedrock Elevation Grids (J. Bamber 2001) from J. L. Bamber, Layberry, and Gogineni (2001) and Layberry and Bamber (2001). Download here (after registration). Data The ...

The tilde operator (~) is a fundamental component of R programming, especially in statistical modeling and data analysis. This comprehensive guide will help you master its usage, from basic concepts to advanced applications. Introduction The ti...

Many algorithms supporting AI and machine learning depend on the notion of embeddings. Data sets are mapped to or embedded in high-dimensional Euclidean vector spaces. Then, various mathematical strategies are employed to reduce data size by map...

This post describes a particular use-case for Python in Excel and how it was solved using the R package Reticulate 1.39.0 (https://cran.r-project.org/web/packages/reticulate/index.html) along with the ExcelRAddIn (https://github.com/Adam-Gladstone/Office365AddIns). A while back I read an interesting post on LinkedIn that ...

Reposted from the original at https://blog.stephenturner.us/p/python-cli-click-cookiecutter. ---In the spirit of Learning in Public, I wanted an excuse to explore (1) click for creating command line interfaces, (2) Cookiec...

Methods for comparing spatial patterns in raster data This is the fifth part of a blog post series on comparing spatial patterns in raster data. More information about the whole series can be found in part one. This blog post focuses ...

Gradient boosting with any regression algorithm in Python and R package mlsauce. Part4, Time series forecasting

The world of development is evolving rapidly, and artificial intelligence (AI) is playing an increasingly crucial role in developers’ daily lives. With the rise of AI tools, R developers can now automate repetitive tasks, speed up their workflow...

Introduction Linux, an open-source operating system known for its stability and flexibility, relies heavily on efficient process management. For beginners venturing into the world of Linux, understanding processes and mastering related commands...