Research Misconduct and Integrity

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>> YOUR LINK HERE: ___ http://youtube.com/watch?v=An7nPLJ0fsg

Provides steps for handling missing data using mice (multivariate imputation by chained equations) package. • R code: https://goo.gl/kUzRin • Data file: https://goo.gl/aksd3E • More ML videos: https://goo.gl/WHHqWP • To install mice, use following codes: • install.packages( devtools ) • devtools::install_github(repo = stefvanbuuren/mice ) • handling missing values is an important step related to analyzing big data or working in data science field. • R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.

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