R for everyone : Advanced analytics and graphics
Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone is the solution. Drawing on h...
Đã lưu trong:
| Tác giả chính: | |
|---|---|
| Định dạng: | Sách |
| Ngôn ngữ: | Undetermined |
| Được phát hành: |
Boston
Addison-Wesley
2017
|
| Những chủ đề: | |
| Các nhãn: |
Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
|
| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
|---|
| LEADER | 01834nam a2200217Ia 4500 | ||
|---|---|---|---|
| 001 | CTU_231125 | ||
| 008 | 210402s9999 xx 000 0 und d | ||
| 020 | |c 1173000 | ||
| 082 | |a 005.133 | ||
| 082 | |b L255 | ||
| 100 | |a Lander, Jared P. | ||
| 245 | 0 | |a R for everyone : | |
| 245 | 0 | |b Advanced analytics and graphics | |
| 245 | 0 | |c Jared P. Lander | |
| 260 | |a Boston | ||
| 260 | |b Addison-Wesley | ||
| 260 | |c 2017 | ||
| 520 | |a Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. | ||
| 650 | |a R (Ngôn ngữ lập trình máy tính),R (Computer program language) | ||
| 910 | |b nthai | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Cần Thơ | ||