Introducing xda: R package for exploratory data analysis

This R package contains several tools to perform initial exploratory analysis on any input dataset. It includes custom functions for plotting the data as well as performing different kinds of analyses such as univariate, bivariate and multivariate investigation which is the first step of any predictive modeling pipeline. This package can be used to get … More Introducing xda: R package for exploratory data analysis

Curated list of R tutorials for Data Science

Here is topic wise list of R tutorials for Data Science, Time Series Analysis, Natural Language Processing and Machine Learning. This list also serves as a reference guide for several common data analysis tasks. You can also find this list on GitHub where it is updated regularly. The R Language Awesome-R Repository on GitHub R … More Curated list of R tutorials for Data Science

Codes for common Data Frame operations in R

Listed below are codes for some data frame operations that are good to have at your fingertips: Create an empty data.frame Sort a dataframe by column(s) Merge/Join data frames (inner, outer, left, right) Drop data frame columns by name Remove rows with NAs in data.frame Quickly reading very large tables as dataframes in R Drop … More Codes for common Data Frame operations in R

ggplot2 Version of Figures in “Lattice: Multivariate Data Visualization with R” (Part 1)

Originally posted on Learning R:
The data visualization package lattice is part of the base R distribution, and like ggplot2 is built on Grid graphics engine. Deepayan Sarkar’s (the developer of lattice) book Lattice: Multivariate Data Visualization with R gives a detailed overview of how the package works. All the figures and code used to…