Data Analysis

An Introduction to the Harrell“verse”: Predictive Modeling using the Hmisc and rms Packages

This is post is to introduce members of the Cincinnati Children’s Hospital Medical Center R Users Group (CCHMC-RUG) to some of the functionality provided by Frank Harrell’s Hmisc and rms packages for data description and predictive modeling. For those of you who have worked with these packages before, hopefully we will cover something new. Dr. Harrell is the founding chair of the Department of Biostatistics at Vanderbilt University (until 2017), Fellow of the American Statistical Association, and a member of the R Foundation.

Introduction to the Statistical Analysis of Microbiome Data in R

This post is also from the Introduction to Metagenomics Summer Workshop and provides a quick introduction to some common analytic methods used to analyze microbiome data. I thought it might be of interest to a broader audience so decided to post it here. The goal of this session is to provide you with a high-level introduction to some common analytic methods used to analyze microbiome data. It will also serve to introduce you several popular R packages developed specifically for microbiome data analysis.