A Practical Guide to Data Analysis Using R

Master Single-Cell RNA-seq Analysis from Scratch Using R, Python, and Cloud Tools — Master QC, Clustering and Annotation

A complete guide to carrying out complex survey analysis using R
As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields.

A Complete Course on Time Series Forecasting using Machine Learning and Recursive Neural Networks with Projects

Boosting Your Workflow with Generative AI: A Practical, Example-Driven Approach

Statistical Tools for Nonlinear Regression, (Second Edition), presents methods for analyzing data using parametric nonlinear regression models. The new edition has been expanded to include binomial, multinomial and Poisson non-linear models. Using examples from experiments in agronomy and biochemistry, it shows how to apply these methods. It concentrates on presenting the methods in an intuitive way rather than developing the theoretical backgrounds.