Category
tidyverse
The tidyverse is a collection of R packages designed for data science. According to the author Hadley Wickham, all packages included in the tidyverse share an underlying design philosophy, grammar, and data structures.
12
articles
R Project
Python
Basic Statistics
3 years ago
An R alternative to pairs for -omics QC
Nicholas Carruthers
Data Management
4 years ago
How to carry column metadata in pivot_longer
Nicholas Carruthers
Introduction
5 years ago
Merging Datasets with Tidyverse
Anisa Dhana
Data Management
5 years ago
How to create multiple variables with a single line of code in R
Anisa Dhana
Visualizing Data
5 years ago
Using heatmap to simplify the data visualization in R
Anisa Dhana
Data Management
6 years ago
Converting data from long to wide simplified: tidyverse package
Anisa Dhana
Data Management
6 years ago
Tidying Video Game Metadata: A Case Study
Arvid Kingl
Data Management
6 years ago
How to manage missing values in the longitudinal data with tidyverse
Anisa Dhana
Introduction
6 years ago
Spread, Gather, Separate, and Unite variables and datasets in R
Anisa Dhana
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Categories
Introduction
Getting Data
Data Management
Visualizing Data
Basic Statistics
Regression Models
Advanced Modeling
Programming