Search Results for "multivariate analysis"

hctsa is a Matlab software package for running highly comparative time-series analysis. It extracts thousands of time-series features from a collection of univariate time series and includes a range of tools for visualizing and analyzing the resulting time-series feature matrix.

pandas-profiling generates profile reports from a pandas DataFrame. The pandas df.describe() function is handy yet a little basic for exploratory data analysis. pandas-profiling extends pandas DataFrame with df.profile_report(), which automatically generates a standardized univariate and multivariate report for data understanding. High correlation warnings, based on different correlation metrics (Spearman, Pearson, Kendall, Cramér’s V, Phik). Most common categories (uppercase, lowercase, separator), scripts (Latin, Cyrillic) and blocks (ASCII, Cyrilic). ...

HCS Analyzer is an open source software dedicated to High Content Screening data processing and analysis.

This Java software includes algorithms of combinatorical optimization for the NP-hard offline ship lock scheduling problem. Solutions and performed computations can be displayed graphically. Besides, there is a framework for generating test instances and running these in parallel, as well as R/JGR code for statistical evaluation. Some tools for estimating the quality of calculated solutions will be further improved. Initially the software was developed within a project of TU Berlin regarding...

ViStream (http://davis.wpi.edu/xmdv/downloads/) is a tool for the visual analysis of multivariate streaming data. It supports a number of computational data analysis methods and provides numerous visualizations and interactions for exploring dynamic data.

LAMBDA is a MatLab toolkit that performs multivariate autoregressive first-order data analysis. LAMBDA estimates community interactions using matrix algebra. The target audience is scientists with long-term ecological data.