Introduction
R for data science
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Using the exercise files
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1. What Is R?
R in context
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2. Getting Started
Installing R
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Environments for R
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Installing RStudio
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Navigating the RStudio environment
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Entering data
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Data types and structures
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Comments and headers
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Packages for R
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The tidyverse
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Piping commands with %>%
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Sample datasets
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Importing data from a spreadsheet
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3. Data Visualization
Using colors in R
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Creating bar charts
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Creating histograms
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Creating box plots
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Creating scatterplots
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Creating line charts
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Creating cluster charts
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4. Data Wrangling
Selecting cases and subgroups
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Recoding variables
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Computing new variables
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5. Data Analysis
Computing frequencies
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Computing descriptives
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Computing correlations
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Computing a linear regression
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Computing contingency tables
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Ex_Files_Learning_R.zip
(69 KB)