This projects focusses on PCA based Statistical Visualization for multivariate large data sets. Popular methods for visualizing PCA transformations are performed in R.
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Updated
Feb 11, 2014 - R
This projects focusses on PCA based Statistical Visualization for multivariate large data sets. Popular methods for visualizing PCA transformations are performed in R.
Jackstraw Weighted Shrinkage Methods
Animated Visualizations of Popular Machine Learning Algorithms
Statistical analysis of gene expression data with multiple comparison tests in R.
Implementation of machine learning algorithms in R Programming language
R codes for common Machine Learning Algorithms
Hasil Kodingan Pengenalan Pola (R Programming) di IPB
R packages which implements most known linear regression model: pls, OLS, ridge, lasso, LAR, principal components regression...
Dorothea is a drug dataset. Chemical compounds represented by structural molecular features must be classified as active (binding to thrombin) or inactive. The dataset contained 100000 features(columns) and 800 observations(samples) in training dataset and 100000 features and 350 observations in validation dataset.
The code extracts the tables according to some configuration automatically, selects tables, filters, normalizes it, aggregates in different ways, imputes missing data and runs advanced descriptive methods. The methods used are the biplot, a method similar to PCA that allows to create an optimal representation of both the rows and columns to see …
Statistical analysis comparing metal accumulation levels in three macroinvertebrate groups
R exercises (2016)
Final project for the subject Data Mining I of my MsC.
Contrastive Principal Component Analysis (https://arxiv.org/abs/1709.06716) in R
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