Tools for summarizing/visualizing regressions and other helpful stuff

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

R package for exploratory data analysis

Facebook Data Mining

data_mining_with_r

A community-contributed tool box for managing, analyzing, and visualizing WRF Hydro (and NWM) input and output files in R.

Short tour of parallel and foreach packages, and how to think about scaling data analyses

Data and code for the Dataists R recommendation system contest

Exploratory and diagnostic machine learning tools for R

Simple text mining of journal articles from JSTOR's Data for Research service

Sparse Principal Component Analysis (SPCA) using Variable Projection

Randomized testing for R

A package that allows R developers to use Hadoop HDFS

R package to conduct univariate and bivariate wavelet analyses

🔮 Benchmarking and visualization toolkit for penalized Cox models

Tools in R to make it easier to solve the Maximal Coverage Location Problem

Black Scholes formula and greeks

Connect R to MOA for massive online data stream mining

🇬🇧 🚓 R package to pull police data from the uk police data repository 🚓 🇬🇧

Materials for the R Programming Workshop that I teach at The University of Chicago

rstudio::conf 2018 tweet explorer and FOMO reducer

CET Perceptually Uniform Colour Maps for R

Codes for the book, Learning Data Mining with R

Tools for interacting with the General Lake Model (GLM) in R

R Reference Card

Fast, tidy functions for mcmc diagnostics and summaries, built with data.table

Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.

Project work for Coursera Statistics with R Specialization offered by Duke University