Data analysis for the life sciences with R
CALL NO : QH323.5 I68d 2017
IMPRINT : Boca Raton, Fla. : CRC Press, c2017
This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.
- While statistics textbooks focus on mathematics, this book focuses on using a computer to perform data analysis
- Focuses on the practical challenges faced by data analysts in the life sciences and introduces mathematics as a tool that can help us achieve scientific goals
- All sections of this book are reproducible as they were produced by R markdown documents that include R code used to produce the figures, tables and results shown in the book