Black M Symbol White M Symbol BIOL 275 Biostatistics
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  1. Labs
  2. Labs
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  • Home
  • Course Syllabus
  • Schedule
  • Lectures
  • Labs
    • Labs
    • Lab 1: Introduction to R, RStudio, and Posit Cloud
    • Lab 2: Workflow and Data Types
    • Lab 3: Importing Data into R
    • Lab 4: Graphing with ggplot
    • Lab 5: The ggplot2 Visualization Challenge
    • Lab 6: Describing Data with Summary Statistics
    • Lab 7: Analyzing proportions
    • Lab 8: Transforming Data
  • Project
    • Exploratory Data Analysis (EDA) Project
    • Datasets
    • Dryad datasets
    • EDA Project Team Formation
    • Data Readiness Check
    • How to Write an Abstract
    • SAC Application Instructions
    • SAC Poster Guidelines
  • Resources
    • Resources
    • Setting Up a Project for a Lab Activity

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  1. Labs
  2. Labs

Labs

Lab 1

Introduction to R and RStudio

Introduction to R and Posit Cloud, focusing on basic calculations, functions, and understanding R’s console output.

Lab 1

Lab 2

Workflow and Data Types

Working with data frames in R using the palmerpenguins dataset to practice data inspection, data types, and simple summaries.

Lab 2

Lab 3

Importing Data

Reading external data into R, with emphasis on file structure, missing values, and correct specification of categorical variables.

Lab 3

Lab 4

Graphing with ggplot

An introduction to creating scatterplots in R using ggplot2 and a layered approach to graphing.

Lab 4

Lab 5

ggplot2 Visualization Challenge

An introduction to creating scatterplots in R using ggplot2 and a layered approach to graphing.

Lab 5

Lab 6

Describing Data with Summary Statistics

Using descriptive statistics and graphs to summarize, compare, and interpret biological data.

Lab 6

Lab 7

Analyzing proportions

Lab 7

Lab 8

Transforming Data

Lab 8

Lab 9

Transforming Data

Lab 9

Lab 10

t-tests

Lab 10