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Topic > Multivariate Statistics

Correspondence Analysis (3 project)
Forward Search (0 project)
Latent Variable Approaches (12 project)
Linear Models (11 project)
Matrix Manipulations (6 project)
Missing Data (4 project)
Modelling Non-Gaussian Data (12 project)
Multivariate Distributions (8 project)
Principal Coordinates / Scaling Methods (2 project)
Projection Methods (10 project)
Supervised Classification and Discriminant Analysis (10 project)
Unsupervised Classification (8 project)
Visualising Multivariate Data (19 project)

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4 projects in result set.

0. RDataMining - a package for data mining - A comprehensive R Package for Data Mining, with contributions from many R users. If you have developed or will implement any data mining algorithms in R, please participate in this project to make your work available to R users worldwide.

Development Status : 1 - Planning [Filter]
Intended Audience : Developers [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Operating System : OS Independent [Filter]
Programming Language : R (Now Filtering)
Topic : Cluster Analysis (Now Filtering)
Topic : Machine Learning [Filter]
Topic : Multivariate Statistics [Filter]

Activity Percentile: 0.00

Registered: 2012-06-06 05:19

1. kOO k-spatial co-occurrence analysis - The project aims at building an R package to implement and develop a published methodology analysing data from order k (k>=2) co-occurrences of events for spatial analysis of multivariate marked processes (point and areal).
Intended Audience : Developers [Filter] Intended Audience : End Users/Desktop [Filter] License : OSI Approved : GNU General Public License (GPL) [Filter] Programming Language : Other [Filter] Programming Language : R (Now Filtering) Topic : Cluster Analysis (Now Filtering) Topic : Multivariate Statistics [Filter] Topic : Spatial Data & Statistics : Point Pattern Analysis [Filter]	Activity Percentile: 0.00 Registered: 2012-06-08 08:56

2. OOMPA - OOMPA is a suite of R packages for the analysis of gene expression (RNA), proteomics profiling , and other high throughput molecular biology data. OOMPA uses S4 classes to construct object-oriented tools with a consistent user interface.
Development Status : 5 - Production/Stable [Filter] Intended Audience : End Users/Desktop [Filter] License : OSI Approved : Artistic License [Filter] Natural Language : English [Filter] Programming Language : R (Now Filtering) Topic : Bioinformatics : Statistics [Filter] Topic : Cluster Analysis (Now Filtering) Topic : Multivariate Statistics [Filter]	Activity Percentile: 0.00 Registered: 2013-08-29 17:48

3. Cytangle - Analyze single cell mass cytometry data

Development Status : 4 - Beta [Filter]
Environment : Console (Text Based) [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : Artistic License [Filter]
Natural Language : English [Filter]
Operating System : OS Independent [Filter]
Programming Language : R (Now Filtering)
Topic : Bioinformatics : Visualization [Filter]
Topic : Cluster Analysis (Now Filtering)
Topic : Multivariate Statistics [Filter]

Activity Percentile: 0.00

Registered: 2016-10-26 12:51