Programming
January 1, 2016
#tips & tricks
A growing collection of practical shortcuts, lesser-known functions, and time-savers that make your R and Python workflow smoother.
All
Introduction 44
Getting Data 27
Basic Statistics 44
Data Management 42
Visualizing Data 78
Regression Models 46
Advanced Modeling 84
Programming 51
Latest R articles
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Introduction
December 18, 2015
A use of gsub, reshape2 and sqldf with healthcare data
Visualizing Data
November 23, 2015
Visualizing MLS Player Salaries with ggplot2
Visualizing Data
November 6, 2015
Adding Text to R Plot
Introduction
November 2, 2015
Working with the Data Frame in R
Data Management
September 12, 2015
Using the apply family of Functions in R
Data Management
August 20, 2015
Data Manipulation with dplyr
Data Management
August 16, 2015
Managing Longitudinal Data: Conversion Between the Wide and the Long
Visualizing Data
August 11, 2015