Search or browse below, or give the glossary a read!
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- Base R Plotting
- R Lab for Beginners
- R Markdown 101
- Why Use Literate Statistical Programming?
- Regex 101
- Natural Language Processing with NLTK
- ggplot overview
- Data Combining in R
- What is SQL?
- Code Readability
- Mapping Environmental Exposures
- Customizing ggplot2 Visualizations With ggThemeAssist
- Python Lab for Beginners
- Null Hypothesis Statistical Testing (NHST)
- Ordinary Linear Regression in R
- Comparing Parts of Speech with NLTK
- Date Pairing in R
- Swirl: Learn R in R
- Cloud Tools for the Unconvinced
- User Groups at CHOP
- R 4 Beginners Chapter 1 - Introduction and Installation
- R 4 Beginners Chapter 2 - Coding Basics
- R 4 Beginners Chapter 3 - Data Visualization with ggplot2
- R 4 Beginners Chapter 4 - Data Visualization with ggplot2, Part II
- R 4 Beginners Chapter 5 - Data Transformation
- R 4 Beginners Chapter 6 - Reproducible Programming
- R 4 Beginners Chapter 7 - Reading Tabular Data
- How do I collapse data from several columns into one?
- Using the REDCap API
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- R Lab for Beginners
- Distributed Humaning
- High Performance Computing
- Regex 101
- Excel, if you must...
- Natural Language Processing with NLTK
- ggplot overview
- What is SQL?
- What is an API?
- Intro to the Linux Command Line
- Customizing ggplot2 Visualizations With ggThemeAssist
- Python Lab for Beginners
- My File is Over There: File Paths for Data Scientists
- Comparing Parts of Speech with NLTK
- Swirl: Learn R in R
- Feasibility Analysis Using Arcus Cohort Discovery
- Arcus Annotations: Harvesting Data from Text Notes
- Arcus Annotations and RDoC
- Arcus Annotations and cTAKES
- The Spreadsheet Betrayal
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- Cartesian Result Sets
- Flat File Data Storage
- R Lab for Beginners
- Data Dictionaries
- Interrogating the Data Until it Confesses
- Recording Consent
- Clinical Data at CHOP
- Excel, if you must...
- Data Combining in R
- Getting to one row
- Arcus Clinical Cohorts
- Social Justice and Data Science
- Python Lab for Beginners
- REDCap Free Text Collection
- REDCap Field Types
- REDCap Free Text Collection
- REDCap Data Collection Overview
- REDCap: PHI and Permissions
- REDCap Race and Ethnicity Data Collection
- Collecting Sex and Gender Data
- Best Practices for REDCap Variables and Instruments
- Clinical Data in R
- Data Preparation
- Date Pairing in R
- Descriptive Statistics: The Bullet
- Tiny Munge
- Do Patterns in Missing Data Matter?
- Variable Types
- Swirl: Learn R in R
- Why Archivists and Librarians?
- Meet the Arcus Library Science Team
- Arcus Annotations: Harvesting Data from Text Notes
- Arcus Annotations and RDoC
- Arcus Annotations and cTAKES
- The Spreadsheet Betrayal
- The U.S. Census Bureau and Child Health
- The REDCap API and Windows
- Using the REDCap API
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- Interrogating the Data Until it Confesses
- Understanding Pearson's r
- The p Value Controversy
- Linear Algebra, a Geometric Approach
- Null Hypothesis Statistical Testing (NHST)
- Ordinary Linear Regression in R
- Descriptive Statistics: The Bullet
- Do Patterns in Missing Data Matter?
- Variable Types
- Statistics Chapter 1: Measures of Central Tendency and Dispersion
- The Argument Against Aggregation
- Arcus Annotations: Harvesting Data from Text Notes
- Arcus Annotations and RDoC
- Arcus Annotations and cTAKES
- The Spreadsheet Betrayal
- Understanding Interactions in Linear Models
- There’s an equation in this paper! Now what?