Abstract R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in ...

Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

This course covers: What are GLMs? When should we use them? How GLM works. Categorical data analysis, including contingency table analysis, measures of association, tests of independence, tests of ...

UPDATE: Thanks to community (i.e. your!) participation, this R piece is going to be part of the "Names You Need to Know" feature in a December issue of Forbes Magazine. We're looking for ...

Longitudinal panel data examples are used to illustrate estimation methods for individual growth curve models. These examples constitute one of the basic multilevel analysis settings, and they are ...

As an example of competing risk analysis in R, we analyze data from 35 patients with acute leukaemia who underwent HSCT. We estimate the cumulative risk of relapse and TRM.

What Are Data Analysis Skills? Quantitative and Qualitative Examples Combining quantitative and qualitative data skills allows you to make informed, balanced decisions by understanding both the ...

Quantitative analysis (QA) seeks to understand behavior by using mathematical and statistical modeling, measurement, and research.