Statistics : an introduction using R / Michael J. Crawley.
Material type:
TextPublication details: Chichester : John Wiley, c2015.Edition: 2nd edDescription: xiii, 339 p. : illustrations ; 25 cmISBN: - 9781118941096 (pbk.)
- 000SA.055 23 C911
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.055 C911 (Browse shelf(Opens below)) | Available | 136625 | |||
| Books | ISI Library, Kolkata | 000SA.055 C911 (Browse shelf(Opens below)) | Available | 136624 |
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| 000SA.055 C227 Quality control with R : | 000SA.055 C512 Computational statistics in the earth sciences : | 000SA.055 C911 Statistics : an introduction using R / | 000SA.055 C911 Statistics : an introduction using R / | 000SA.055 D411 R student companion / | 000SA.055 Ef27 Computer age statistical inference : | 000SA.055 F463 Basics of matrix algebra for statistics with R / |
Includes bibliographical references and index.
1. Fundamentals --
2. Dataframes --
3. Central tendency --
4. Variance --
5. Single samples --
6. Two samples --
7. Regression --
8. Analysis of variance --
9. Analysis of covariance --
10. Multiple regression --
11. Contrasts --
12. Other response variables --
13. Count data --
14. Proportion data --
15. Binary response variable --
16. Death and failure data --
Appendix: Essentials of the R language --
References --
Further reading --
Index.
The book covers the full range of statistical techniques likely to be needed to analyse the data from research projects, including elementary material like t––tests and chi––squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling.
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