Read R for Medicine and Biology (Jones and Bartlett Series in Biomedical Informatics) by Paul D. Lewis Online
^ Read * R for Medicine and Biology (Jones and Bartlett Series in Biomedical Informatics) by Paul D. Lewis ↠ eBook or Kindle ePUB. R for Medicine and Biology (Jones and Bartlett Series in Biomedical Informatics) R for Medicine and Biology will provide you with a single desk reference for the R environment and its many capabilities.. R is quickly becoming the number one choice for users in the fields of biology, medicine, and bioinformatics as their main means of storing, processing, sharing, and analyzing biomedical data. Ideal for healthcare professionals, scientists, informaticists, and statistical experts, this resource will provide even the novice programmer with the tools necessary to process and a
| Title | : | R for Medicine and Biology (Jones and Bartlett Series in Biomedical Informatics) |
| Author | : | |
| Rating | : | 4.37 (831 Votes) |
| Asin | : | 0763758086 |
| Format Type | : | paperback |
| Number of Pages | : | 399 Pages |
| Publish Date | : | 2016-10-25 |
| Language | : | English |
"Very good!" according to Dave C.. I've owned a few instructional R books. This one is good. This books takes the approach of teaching by example rather than by lengthy descriptions and explanations. For instance, after you briefly read about what "tapply" does and then try the example provided in the book you will most likely understand how to use "tapply" if you don't already know. Or you can read some lengthy description of "tapply" on the web and not really understand what its saying. Lots of biomedical examples and a good sampling of advanced approaches make this. There are better books out there Poorly conceived book. The page count is misleading, with normal formatting the page count would easily be &frac1There are better books out there Charles Poorly conceived book. The page count is misleading, with normal formatting the page count would easily be ¼ of what is listed on amazon. It would be a challenge to just provide a brief introduction to the R program given that page limitation. Yet in the space available, the author tries to cover everything from a general introduction to survival analysis, fMRI data and machine learning using R. The result is that there are essentially 5 pages given to each of these fairly complex topic - not enough to be useful in any meaning. ; of what is listed on amazon. It would be a challenge to just provide a brief introduction to the R program given that page limitation. Yet in the space available, the author tries to cover everything from a general introduction to survival analysis, fMRI data and machine learning using R. The result is that there are essentially 5 pages given to each of these fairly complex topic - not enough to be useful in any meaning
R for Medicine and Biology will provide you with a single desk reference for the R environment and its many capabilities.. R is quickly becoming the number one choice for users in the fields of biology, medicine, and bioinformatics as their main means of storing, processing, sharing, and analyzing biomedical data. Ideal for healthcare professionals, scientists, informaticists, and statistical experts, this resource will provide even the novice programmer with the tools necessary to process and analyze their data using the R environment. Later chapters outline how R can be used, not just for biomedical data analysis, but also as an environment for the processing, storing, reporting, and sharing of data and results. R for Medicine and Biology is a step-by-step guide through the use of the statistical environment R, as used in a biomedical domain. The remainder of the book explores areas of R application to common domains of biomedical informatics, including imaging, statistical analysis, data mining/modeling, pathology informatics, epidemiology, clinical trials, and metadata usage. Introductory chapters guide readers in how to obtain, install, and become familiar with R and provide a clear introduction to the programming language using numerous worked examples
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