| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000045897111 | |
| 005 | 20170303110916 | |
| 008 | 170302s2017 flu b 001 0 eng d | |
| 010 | ▼a 2016035574 | |
| 020 | ▼a 9781498763653 (hardback : alk. paper) | |
| 020 | ▼z 9781498763660 (E-book) | |
| 035 | ▼a (KERIS)REF000018140426 | |
| 040 | ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d 211009 | |
| 050 | 0 0 | ▼a QA76.73.R3 ▼b C68 2017 |
| 082 | 0 0 | ▼a 005.3028/7 ▼2 23 |
| 084 | ▼a 005.30287 ▼2 DDCK | |
| 090 | ▼a 005.30287 ▼b C851t | |
| 100 | 1 | ▼a Cotton, Richard. |
| 245 | 1 0 | ▼a Testing R code / ▼c Richard Cotton. |
| 260 | ▼a Boca Raton, Florida : ▼b CRC Press, Taylor & Francis Group, ▼c c2017. | |
| 300 | ▼a xvii, 177 p. ; ▼c 24 cm. | |
| 490 | 1 | ▼a The R series |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a R (Computer program language). |
| 650 | 0 | ▼a Computer software ▼x Testing. |
| 830 | 0 | ▼a R series. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 005.30287 C851t | 등록번호 111768090 (4회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Learn how to write R code with fewer bugs.
The problem with programming is that you are always one typo away from writing something silly. Likewise with data analysis, a small mistake in your model can lead to a big mistake in your results. Combining the two disciplines means that it is all too easy for a missed minus sign to generate a false prediction that you don’t spot until it’s too late. Testing is the only way to be sure that your code, and your results, are correct.
Testing R Code teaches you how to perform development-time testing using the testthat package, allowing you to ensure that your code works as intended. The book also teaches run-time testing using the assertive package; enabling your users to correctly run your code.
After beginning with an introduction to testing in R, the book explores more advanced cases such as integrating tests into R packages; testing code that accesses databases; testing C++ code with Rcpp; and testing graphics. Each topic is explained with real-world examples, and has accompanying exercises for readers to practise their skills ? only a small amount of experience with R is needed to get started!
The problem with programming is that you are always one typo away from writing something silly. Likewise with data analysis, a small mistake in your model can lead to a big mistake in your results. Combining the two disciplines means that it is all too easy for a missed minus sign to generate a false prediction that you don’t spot until it’s too late. Testing is the only way to be sure that your code, and your results, are correct.
Testing R Code teaches you how to perform development-time testing using the testthat package, allowing you to ensure that your code works as intended. The book also teaches run-time testing using the assertive package; enabling your users to correctly run your code.
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