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R for Busy People (Cohort-0)
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Installing R and RStudio1 Lesson|2 Quizzes
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The RStudio IDE1 Lesson|2 Quizzes
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Coding Basics1 Lesson|2 Quizzes
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Assignment | Workshop 11 Quiz
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Data dive: Ebola in Sierra Leone1 Lesson|2 Quizzes
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RStudio Projects1 Lesson|2 Quizzes
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Workshop 21 Lesson|1 Quiz
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Using R Markdown1 Lesson|2 Quizzes
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Data classes & structures (deprec)2 Lessons
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Workshop 31 Lesson|1 Quiz
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Select & rename1 Lesson|3 Quizzes
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Filter1 Lesson|3 Quizzes
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Workshop 41 Quiz
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Mutate1 Lesson|3 Quizzes
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Workshop 51 Lesson|1 Quiz
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Conditional mutate1 Lesson|3 Quizzes
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Group by and summarize1 Lesson|2 Quizzes
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Workshop 61 Lesson|1 Quiz
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Other grouped operations1 Lesson|2 Quizzes
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Workshop 71 Lesson|1 Quiz
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Intro to ggplot21 Lesson|2 Quizzes
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Scatter plots and smoothing1 Lesson|2 Quizzes
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Workshop 81 Lesson|1 Quiz
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Lines, scales, and labels1 Lesson|2 Quizzes
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Overview of the EpiGraphHub web platform
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Data exploration on EpiGraphHub1 Quiz
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Workshop 91 Lesson|1 Quiz
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Workshop 101 Lesson|1 Quiz
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Final project1 Lesson|1 Quiz
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Getting help1 Lesson|1 Quiz
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Quiz contributions16 Lessons
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Quiz contributions: The RStudio IDE
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Quiz contributions: Coding basics
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Quiz contributions: Data dive | Ebola in Sierra Leone
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Quiz contributions: RStudio Projects
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Quiz contributions: R Markdown
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Quiz contributions: Data classes & structures
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Quiz contributions: Select & rename
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Quiz contributions: Filter
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Quiz contributions: Mutate
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Quiz contributions: Conditional mutate
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Quiz contributions: Group by and summarize
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Quiz contributions: Other grouped operations
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Quiz contributions: Pivoting data
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Quiz contributions: Intro to ggplot2
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Quiz contributions: Scatter plots and smoothing
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Quiz contributions: Lines, scales and labels
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Quiz contributions: The RStudio IDE
Participants 76
Topic 19 of 31
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Other grouped operations
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Lesson code
Please download the zip folder below to code along with the instructor.
You need to unzip this folder to code along. Or “Extract All” on Windows. See our video explanation of this if you are unsure.
Lesson notes
The written guide below is an accompaniment to the lesson video. You may read through it if you prefer written tutorials to video content.
Topic Content
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Why when we calculate each person’s weight rank by sex we get a rank with decimals?
Good question! In this dataset, there were some cases where multiple people had a the same weight, therefore they are all tied for the same rank. In such cases, the rank() function calculates the average rank and assigns it to all of them. For example, there are 2 people weighing 115 kgs in the female… Read more »