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R Crash Course for Biologists An introduction to
R for bioinformatics and biostatistics (Coding
and Quantitative Biology)
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R Crash Course for Biologists An introduction to
R for bioinformatics and biostatistics (Coding
and Quantitative Biology)
6
Description
This book is written for biologists, from
undergraduate students to seasoned
professionals, who wish to develop coding skills
for the management, visualization and analysis
of biological data. Coding and quantitative
skills are critical for all areas of biological
inquiry, yet many biology programs do not
emphasize training in math, statistics, and
computer science. This book tries to demystify
coding in R, using a hands-on tutorial style
without too much technical jargon. As such, it
should be useful to current students, recent
graduates, and working professionals who have not
received formal training in mathematics and
computer science at the university level. After
completing this book you will know the
fundamentals of R programming, flow control (if
statements and for loops), and you will be able
to create reproducible reports that feature your
own, embedded custom R functions, and
high-quality, professional visualizations. You'll
also learn how to work with relational data using
regular expressions and dplyr pipes -- two
powerful tools for data management. This is the
first book in a series that includes R STATS
Crash Course for Biologists (2013) and R
Machine Learning Crash Course for Biologists
(2014).