R statistical programming related stuff
Learn how to calculate row means in R, whether you’re analyzing every 5th column, applying conditions, or using dplyr for precise numeric column calculations. Explore the power of R for tailored row averaging.
Row Means in R: Calculating Row Averages with Ease Read More »
Unlock the power of Fisher’s Exact Test in R and find associations in your categorical data. Dive into interpretation, post-hoc analysis, and data visualization. Discover how to go beyond statistics and turn insights into actions.
Fisher’s Exact Test in R: How to Interpret & do Post Hoc Analysis Read More »
Learn to calculate Cronbach’s Alpha in R for assessing internal consistency. Explore manual methods and convenient packages like psych and performance.
Cronbach’s Alpha in R: How to Assess Internal Consistency Read More »
Cross-tabulation in R: Explore diverse methods for analyzing categorical data. Learn basic and advanced techniques using functions like table(), dplyr, and sjPlot. Enhance your data analysis skills now!
Cross-Tabulation in R: Creating & Interpreting Contingency Tables Read More »
Explore how to sum rows in R using dplyr’s powerful functions and enhance your data analysis. Sum across specific rows and based on conditions.
How to Sum Rows in R: Master Summing Specific Rows with dplyr Read More »
In this post, you will learn how to efficiently determine if a file is empty in R using the file.info() and file.size() functions. We will explore practical examples and scenarios, including reading multiple files. Mastering these techniques empowers streamlined file validation for effective data processing and analysis.
How to Check if a File is Empty in R: Practical Examples Read More »
Unlock the potential of Modulo in R with practical applications. Explore data segmentation, odd/even checks, day filtering, and optimized iterations for streamlined coding efficiency.
Modulo in R: Practical Example using the %% Operator Read More »
Learn how to check the R version in RStudio and ensure reproducibility. Discover the best method for compatibility and smooth data analysis. Follow simple steps for quick access to version details.
Check R Version in RStudio: A Quick and Simple Tutorial Read More »
Z test in R is a crucial statistical tool for hypothesis testing. This comprehensive guide covers one-sample and two-sample Z tests, providing practical examples utilizing base R and the BSDA package.
Z Test in R: A Tutorial on One Sample & Two Sample Z Tests Read More »
three methods to create bins in R
Binning in R: Create Bins of Continuous Variables Read More »