📣 Exciting news, everyone! 🌟 Make sure to head over to this weeks blog "What's new in R 4.4.0?" by Russ Hyde, and dive into the world of the latest R release📊🔬💻
Discover some of the amazing new features that this version has to offer! 🔍 🔭 🚀
Master data manipulation in R by dropping unnecessary columns from data frames using simple methods like the $ operator, subset() function, and dplyr package's select() function.
Try these techniques on your own datasets for efficient data cleaning and analysis!
Today's topic is: Identifying Common Rows Between Data Frames in R
In data analysis, comparing datasets is crucial. A common task is checking if rows from one data frame exist in another. I have had to do this myself many times.
Today I discuss the following:
1️⃣ The merge() Function
2️⃣ The %in% Operator
For a step-by-step guide and examples, check out the full blog post.
I had previously discussed how to drop those pesky NA records from your data.frame but now, what if you actually want to inspect them? That is what I cover in today's post.
Need to Find Rows with a Specific Value (Anywhere!) in R?
Ever have a large R data table where you need rows containing a specific value, but you're not sure which column it's in? We've all been there! Here's a quick guide to tackle this using both dplyr and base R functionalities.
Estimating the degrees of freedom 'k' and the non-centrality 'ncp' parameters of the chi-square distribution from just a vector of numbers? I think I am there. Here is a post the work I did over the last couple of days:
@ramikrispin I think this is it. The Mega Test Scrip creates 1000 different combinations of the rchisq() data and runs it all using different approachs
I decided to make a blog post out of a problem I worked on a day or two ago and thankfully I was also pointed to another solution from @embiggenData which worked well too.
Looking to do some data filtering in base R? Well then of course I have a post for you! Many times people in a corporate environment are strapped from installing packages or it is cumbersome to get it done, this is why I like to focus on base R solutions.