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An Introduction to Data Analysis Using R: A Guide for Natural Scientists (Hardcover)
Loot Price: R2,659
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An Introduction to Data Analysis Using R: A Guide for Natural Scientists (Hardcover)
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This book is a compact, example-based statistics textbook that
closely follows contemporary curricula taught in large parts of the
world. It is a user-friendly textbook without unnecessary frills,
but instead filled with real-world examples, practical tips, online
exercises, resources, and references to extensions, all on a level
that is commonly taught at introductory postgraduate and levels.
Several features clearly distinguish this book from what is
currently available on the market. On the one hand, a lot of the
easier textbooks available are lengthy, covering a wide range of
topics that are not necessarily taught at university, some
including methods that are now rarely used, particularly in the
private sector. Further, most texts assume familiarity with
statistical software already, and lack a gentle introduction to the
specific software that is used. On the other hand, the more
specialized textbooks are well outside the reach of most of today's
students, even at postgraduate level, again often assuming a high
level of statistical programming skills. This book aims to fill
that gap, which, while in its core a traditional printed book, will
come with a wealth of online teaching material for lecturers and
students. The authors make use of R, quite simply the most used
statistics software in science. The content structure is peculiar
in the sense that statistical skills are introduced at the same
time as software (programming) skills in R. This poses a challenge
for students and their lecturers but seems by far the best way of
teaching from the author's experience. By a careful, but
concurrent, step by step introduction to both statistical
principles and software skills, this text guides the student in an
unprecedented way. A color coding system is used to keep the two
content matters apart.
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