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Category: Tutorial

ThuRsday Tutorial: Introduction to Correlation in R

Posted on February 29, 2024 by Cody Micah Carmichael MPH, CPH

    Correlation is a statistical measure that describes the extent to which two variables change together. In epidemiological data analysis, understanding correlation helps in identifying relationships between variables. This

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R, Tutorial Correlation, R Tutorial, Tutorials Leave a comment

Epi Explained: Understanding Correlation

Posted on February 28, 2024 by Cody Micah Carmichael MPH, CPH

Correlation is a fundamental statistical concept that measures the strength and direction of a relationship between two quantitative variables. This article will demystify correlation for beginners, providing a comprehensive understanding

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Epi Explained, Tutorial Correlation, EpiExplained Leave a comment

Exploratory Data Analysis in R

Posted on November 26, 2022 by Cody Micah Carmichael MPH, CPH

In this post, we’ll cover how to do basic Exploratory Data Analysis in R, as well as how to create some interactive visualizations.

R, Tutorial NumericData, R Tutorial, Tutorials, XDA Leave a comment

How to Read Excel Files in R (CSV and XLSX)

Posted on August 1, 2022 by Cody Micah Carmichael MPH, CPH

In this article, we will cover how to read in simple CSV files into RStudio, as well as how to use R to work with more complex XSLX files.

R, Tutorial CSV, Excel, R Tutorial, Tutorials, XLSX Leave a comment

How to Install Python and a Python IDE

Posted on April 22, 2022 by Cody Micah Carmichael MPH, CPH

Python has quickly gained traction as a competitor and companion to R in the world of data analysis. As such, being able to use this immensely versatile language is quickly

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Python, Tutorial Install, PyCharm, Python Tutorial Leave a comment

How To Install R and RStudio

Posted on April 15, 2022 by Cody Micah Carmichael MPH, CPH

In this article, we will take a look at how to install R and RStudio, as well as how to configure RStudio so it better meets your needs.

R, Tutorial R Tutorial, RStudio, Tutorials Leave a comment
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Recent Posts

  • CPH Focus: Evidence-Based Approaches to Public Health : Regression Analysis : Logistic Regression July 29, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health : Regression Analysis : Linear Regression July 24, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health : Regression Analysis : Survival Analysis July 22, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health : Hypothesis Testing : Parametric and Non-parametric Tests July 17, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health : Hypothesis Testing : Type I and Type II errors July 15, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health : Hypothesis Testing : Null and Alternative Hypotheses July 10, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health: Biostatistics – Probability: Probability Distributions June 12, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health: Biostatistics – Probability: Basic Probability Concepts June 10, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health: Biostatistics – Inferential Statistics: p-Values and Statistical Significance June 5, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health: Biostatistics – Inferential Statistics: Confidence Intervals June 3, 2025

Recent Posts

  • CPH Focus: Evidence-Based Approaches to Public Health : Regression Analysis : Logistic Regression
  • CPH Focus: Evidence-Based Approaches to Public Health : Regression Analysis : Linear Regression
  • CPH Focus: Evidence-Based Approaches to Public Health : Regression Analysis : Survival Analysis
  • CPH Focus: Evidence-Based Approaches to Public Health : Hypothesis Testing : Parametric and Non-parametric Tests
  • CPH Focus: Evidence-Based Approaches to Public Health : Hypothesis Testing : Type I and Type II errors

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