introNAs

data

<p>the percent data that should be randomly assigned as missing</p>

percent

<p>Function for testing missing value imputation algorithms</p>

An open-source implementation of latent variable methods and multivariate modeling tools. The focus is on exploratory analyses using dimensionality reduction methods including low dimensional embedding, classical multivariate statistical tools, and tools for enhanced interpretation of machine learning methods (i.e. intelligible models to provide important information for end-users).   Target domains include extension to dedicated applications e.g. for manufacturing process modeling, spectroscopic analyses, and data mining.

introNAs: Introduce NA's into a Dataframe

Description

Usage

Arguments

Details

Examples