| DC Field | Value | Language |
| dc.contributor.author | . Zuur, Alain F | - |
| dc.contributor.author | Ieno, Elena N. | - |
| dc.date.accessioned | 2021-04-19T06:45:10Z | - |
| dc.date.available | 2021-04-19T06:45:10Z | - |
| dc.date.issued | 2009 | - |
| dc.identifier.isbn | 978-0-387-93837-0 | - |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/70 | - |
| dc.description | This book uses mainly life science data. Nevertheless, whatever your area of
study and whatever your data, the procedures presented will apply. Scientists in
all fields need to import data, massage data, make graphs, and, finally, perform
analyses. The R commands will be very similar in every case. A 200-page book
does not offer a great deal of scope for presenting a variety of dataset types,
and, in our experience, widely divergent examples confuse the reader. The
optimal approach may be to use a single dataset to demonstrate all techniques,
but this does not make many people happy. Therefore, we have used ecologi-
cal datasets (e.g., involving plants, marine benthos, fish, birds) and epidemio-
logical datasets. | en_US |
| dc.description.abstract | The Absolute R Beginner
For whom was this book written?
Since 2000, we have taught statistics to over 5000 life scientists. This sounds a
lot, and indeed it is, but with some classes of 200 undergraduate students,
numbers accumulate rapidly (although some courses have involved as few as
6 students). Most of our teaching has been done in Europe, but we have also
conducted courses in South America, Central America, the Middle East, and
New Zealand. Of course teaching at universities and research organisations
means that our students may be from almost anywhere in the world. Partici-
pants have included undergraduates, but most have been MSc students, post-
graduate students, post-docs, or senior scientists, along with some consultants
and nonacademics.
This experience has given us an informed awareness of the typical life
scientist’s knowledge of statistics. The word ‘‘typical’’ may be misleading, as
those scientists enrolling in a statistics course are likely to be those who are
unfamiliar with the topic or have become rusty. In general, we have worked
with people who, at some stage in their education or career, have completed a
statistics course covering such topics as mean, variance, t-test, Chi-square test,
and hypothesis testing, and perhaps including half an hour devoted to linear
regression | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.subject | Guide to R | en_US |
| dc.subject | R | en_US |
| dc.title | A Beginner’s Guide to R | en_US |
| Appears in Collections: | ARTS & SCIENCE
|