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10% KEDVEZMÉNY?
- A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
- Kiadói listaár GBP 165.00
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78 828 Ft (75 075 Ft + 5% áfa)
Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.
- Kedvezmény(ek) 10% (cc. 7 883 Ft off)
- Kedvezményes ár 70 946 Ft (67 568 Ft + 5% áfa)
Iratkozzon fel most és részesüljön kedvezőbb árainkból!
Feliratkozom
78 828 Ft
Beszerezhetőség
A kiadónál véglegesen elfogyott, nem rendelhető. Érdemes újra keresni a címmel, hátha van újabb kiadás.
Why don't you give exact delivery time?
A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.
A termék adatai:
- Kiadás sorszáma 1
- Kiadó Chapman and Hall
- Megjelenés dátuma 2020. július 29.
- ISBN 9780367182557
- Kötéstípus Keménykötés
- Terjedelem364 oldal
- Méret 254x178 mm
- Súly 830 g
- Nyelv angol
- Illusztrációk 114 Illustrations, color 0
Kategóriák
Rövid leírás:
This book teaches how to use the R for data analysis. It focuses on how to use R to flexibly explore and analyse data to efficiently and reliably extract information. Using this book, the reader will become confident and reasonably independent in the use of R when faced with new challenges.
TöbbHosszú leírás:
Learning a computer language like R can be either frustrating, fun, or boring. Having fun requires challenges that wake up the learner?s curiosity but also provide an emotional reward on overcoming them. This book is designed so that it includes smaller and bigger challenges, in what I call playgrounds, in the hope that all readers will enjoy their path to R fluency. Fluency in the use of a language is a skill that is acquired through practice and exploration. Although rarely mentioned separately, fluency in a computer programming language involves both writing and reading. The parallels between natural and computer languages are many, but differences are also important. For students and professionals in the biological sciences, humanities, and many applied fields, recognizing the parallels between R and natural languages should help them feel at home with R. The approach I use is similar to that of a travel guide, encouraging exploration and describing the available alternatives and how to reach them. The intention is to guide the reader through the R landscape of 2020 and beyond.
Features
- R as it is currently used
- Few prescriptive rules?mostly the author?s preferences together with alternatives
- Explanation of the R grammar emphasizing the "R way of doing things"
- Tutoring for "programming in the small" using scripts
- The grammar of graphics and the grammar of data described as grammars
- Examples of data exchange between R and the foreign world using common file formats
- Coaching for becoming an independent R user, capable of both writing original code and solving future challenges
What makes this book different from others:
- Tries to break the ice and help readers from all disciplines feel at home with R
- Does not make assumptions about what the reader will use R for
- Attempts to do only one thing well: guide readers into becoming fluent in the R language
Pedro J. Aphalo is a PhD graduate from the University of Edinburgh, and is currently a lecturer at the University of Helsinki. A plant biologist and agriculture scientist with a passion for data, electronics, computers, and photography, in addition to plants, Dr. Aphalo has been a user of R for 25 years. He first organized an R course for MSc students 18 years ago, and is the author of 13 R packages currently in CRAN.
"...There is a rare kind of scientific book which manages to fulfil the requirements of the reader simultaneously for fun and knowledge. Learn R: As a Language by Pedro J. Aphalo is definitely one of the best representatives of such work...the style of the language is very simple and easy for absorbing knowledge... Also, special icons are used in the book to highlight whether given information is general, advanced, or important, and this method really works for simplifying understanding...In conclusion, Learn R: As a Language is a great book for beginners, which delivers information in a joyful and interesting way. And I expect that reading the three books, recommended by the author at the very end, should be the next necessary step to having more fun with R."
- Gia Jgarkava, ISCB News, December 2020 Több
Tartalomjegyzék:
1. R: the language and the program
2. The R language: ?words? and ?sentences?
3. The R language: ?paragraphs? and ?essays?
4. The R language: Statistics
5. The R language: adding new ?words?
6. New grammars of data
7. Grammar of graphics
8. Data import and export
9. Bibliography
10. General index
11. Index of R names by category
12. Alphabetic index of R names
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