Data analysis project to analyze user and system CPU Utilization time of the computer activity in the Delve lab of the University of Toronto
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Updated
Apr 10, 2017 - SAS
Data analysis project to analyze user and system CPU Utilization time of the computer activity in the Delve lab of the University of Toronto
Usage examples for the micompr R package
Multivariate independent comparison of observations
R package consisting of functions and tools to facilitate the use of traditional time series and machine learning models to generate forecasts on univariate or multvariate data. Different backtesting scenarios are available to identify the best performing models.
Tutorial on how to plot multiple Kernel Density estimates of two dimensional data in the same plot
R package, creation of customizable biplots, both in two and three dimensions. Tested in Windows 7 and Mac OS X 10.9.5.
Tutorial showcasing the cerUB package for R (github.com/Andros-Spica/cerUB)
MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
An R package to generate multivariate t-distributed random numbers
Research compendium for "Using the right tool for the job: understanding the difference between unsupervised and supervised analyses of multivariate ecological data."
Shiny Application for Exploring Multivariate COVID-19 Data
A grid for modelling, analyse, map and visualise multidimensional and multivariate data
Library for visualizing multivariate, temporal data in both Leaflet and Mapbox.
Bayesian bi-clustering of categorical data
Multivariate Data Visualization using Glyphs
R package for fitting joint models to time-to-event data and multivariate longitudinal data
Are cupcakes empirically different than muffins? Let's find out!
A Tidy Interface for Simulating Multivariate Data
Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.
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