Category
dplyr
dplyr is a package for data manipulation which has easy-to-use functions for performing exploratory data analysis and manipulation.
22
articles
R Project
Python
Advanced Modeling
9 years ago
R for Publication: Lesson 6, Part 2 – Linear Mixed Effects Models
Page Piccinini
Advanced Modeling
9 years ago
R for Publication: Lesson 6, Part 1 – Linear Mixed Effects Models
Page Piccinini
Regression Models
9 years ago
R for Publication by Page Piccinini: Lesson 5 – Analysis of Variance (ANOVA)
Page Piccinini
Visualizing Data
9 years ago
Visualizing obesity across United States by using data from Wikipedia
DataScience+
Regression Models
9 years ago
R for Publication by Page Piccinini: Lesson 4 – Multiple Regression
Page Piccinini
Regression Models
9 years ago
R for Publication by Page Piccinini: Lesson 3 – Logistic Regression
Page Piccinini
Regression Models
9 years ago
R for Publication by Page Piccinini: Lesson 2 – Linear Regression
Page Piccinini
Introduction
9 years ago
R for Publication by Page Piccinini: Lesson 1 – R Basics
Page Piccinini
Introduction
9 years ago
R for Publication by Page Piccinini: Lesson 0 – Introduction and Set-up
Page Piccinini
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Categories
Introduction
Getting Data
Data Management
Visualizing Data
Basic Statistics
Regression Models
Advanced Modeling
Programming
