Tutorial on how to plot multiple Kernel Density estimates of two dimensional data in the same plot
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Updated
Mar 18, 2020 - Jupyter Notebook
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)
Shiny Application for Exploring Multivariate COVID-19 Data
An R package to generate multivariate t-distributed random numbers
Multivariate Data Visualization using Glyphs
An R Package for Reactive Calibrated Axes PCA Biplots
Data analysis project to analyze user and system CPU Utilization time of the computer activity in the Delve lab of the University of Toronto
A Tidy Interface for Simulating Multivariate Data
Library for visualizing multivariate, temporal data in both Leaflet and Mapbox.
Multivariate independent comparison of observations.
Are cupcakes empirically different than muffins? Let's find out!
Research compendium for "Using the right tool for the job: understanding the difference between unsupervised and supervised analyses of multivariate ecological data."
Java Parallel Coordinates Visualization Tool, to visualize multidimensional/multivariate CSV data with Java Swing.
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.
Visual Knowledge Discovery tools for interactively visualizing, exploring, and identifying complex n-D data patterns in multivariate CSV data, to visualize machine learning classifier models.
Usage examples for the micompr R package
Multivariate independent comparison of observations
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.
A grid for modelling, analyse, map and visualise multidimensional and multivariate data
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