📣 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! 🔍 🔭 🚀
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.
Struggling with weird variable names in R? make.names to the rescue! This function wrangles your names into R-approved format (letters, numbers, periods, underscores). Bonus: set unique = TRUE for no duplicates! Try it on funky characters & data frames! 🪄 Master make.names and become an R name-wrangling pro! #DataScience#R#RStats#RProgramming #Coding#Programming
In base R, we can filter rows where a column is between two values using bracket notation or the subset() function along with logical operators like >=, <=, &, and !. The key is creating a logical test that checks if values are within our desired range.
For example, to filter rows where the column "value" is between 5 and 8
Learn how to set a data frame column as the index for faster data access and streamlined operations.
In R, utilize the setDT() function from #datatable or column_to_rownames() from #tibble to seamlessly set your desired column as the index. Try it out with your datasets and experience the boost in productivity!
Unleash Excel date power in R! Convert formats to proper dates effortlessly. With as.Date() & convertToDateTime(), transform data for smoother analysis. Dive into R, empower your data journey! Try it yourself & elevate your analysis game!
🌟 Join Pfizer's exclusive webinar covering their journey from SAS to R with Natalia Andriychuk from Pfizer. Discover how they're shaping the future with community-driven development.
Compare traditional lm() with robust rlm() using a dataset. Blue vs. red residuals visually unveil how each model handles outliers. Dive in, experiment with your data, and empower your coding journey! 💻
🚀 Unleash the power of regression in R! 🔍 Follow this quick guide: load data, visualize with a scatter plot, fit a power regression model using nls, add visual flair, and embrace uncertainty with prediction intervals. Ready to code? Dive in! 💻✨