Join our Community Groups and get customized solutions Join Now! Watch Tutorials Youtube

RStudio: Learn Descriptive Statistics (Guide)

Understand your data with RStudio. Our guide covers key descriptive statistics for insights and decision-making.

Your Essential Guide to Descriptive Statistics is an all-encompassing resource meticulously crafted to empower data analysts and statisticians. This guide serves as a detailed roadmap, illuminating the path to unraveling the full potential of RStudio for conducting descriptive statistical analysis. Brace yourself for a captivating expedition as we delve into the labyrinthine complexities of RStudio's formidable arsenal: the formidable tidyverse, dplyr, psych, describe, and summary functions.

RStudio Documentation: Your Essential Guide to Descriptive Statistics

Descriptive Statistics

Functions

  • The 'sapply' function documentation in the base package provides information on applying a function to each element of a list or vector: Read More
    The 'sd' function documentation in the stats package offers details on calculating the standard deviation of a numeric vector or matrix: Read More
  • Learn about the 'median' function in the base package, which calculates the median of a numeric vector or matrix: Read More 
  • Discover the 'mean' function in the base package, which allows you to compute the arithmetic mean of a numeric vector or matrix: The 'summary' function documentation in the base package provides insights into generating summary statistics for objects in R: Read More
  • Learn about the 'table' function in the base package, used to create frequency tables and cross-tabulations in R: Read More 
  • The 'Normal' function documentation in the stats package provides information on generating random samples from a normal distribution. Read More
  • The 'sample' function documentation in the base package explains how to generate random samples from specified vectors. Read More

Packages

  • Explore the 'psyh' package manual, a comprehensive resource for performing psychological data analysis in R: Download
  • The 'tidyverse' package offers powerful and user-friendly R packages for data manipulation, visualization, and analysis. Learn more about it here: Download
  • Discover the 'dplyr' package, a key component of the tidyverse, providing a grammar of data manipulation to help you work with data frames efficiently: Download
  • The 'plyr' package documentation outlines a set of tools for splitting, applying, and combining data in R: Download

About the Author

Ph.D. Scholar | Certified Data Analyst | Blogger | Completed 5000+ data projects | Passionate about unravelling insights through data.

Post a Comment

RStudiodataLab Chatbot
Have A Question?We will reply within minutes
Hello, how can we help you?
Start chat...
Cookie Consent
We serve cookies on this site to analyze traffic, remember your preferences, and optimize your experience.
Oops!
It seems there is something wrong with your internet connection. Please connect to the internet and start browsing again.