Introductory Statistics with R (Record no. 425794)
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| fixed length control field | 04247nam a22005535i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOKNUMBER | |
| International Standard Book Number | 9780387790541 |
| -- | 978-0-387-79054-1 |
| 024 7# - | |
| -- | 10.1007/978-0-387-79054-1 |
| -- | doi |
| 040 ## - | |
| -- | ISI Library, Kolkata |
| 050 #4 - | |
| -- | QA273.A1-274.9 |
| 050 #4 - | |
| -- | QA274-274.9 |
| 072 #7 - | |
| -- | PBT |
| -- | bicssc |
| 072 #7 - | |
| -- | MAT029000 |
| -- | bisacsh |
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| -- | PBT |
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| -- | PBWL |
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| 082 04 - DEWEYDECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.2 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Dalgaard, Peter. |
| Relator code | aut |
| -- | http://id.loc.gov/vocabulary/relators/aut |
| 245 10 - TITLE STATEMENT | |
| Title | Introductory Statistics with R |
| Medium | [electronic resource] / |
| Statement of responsibility, etc | by Peter Dalgaard. |
| 942 ## - ADDED ENTRY ELEMENTS(KOHA) | |
| Koha item type | E-BOOKS |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| -- | author. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS | |
| Place of production, publication, distribution, manufacture | New York, NY : |
| Name of producer, publisher, distributor, manufacturer | Springer New York, |
| Date of production, publication, distribution, manufacture | 2008. |
| 300 ## - | |
| -- | XVI, 364 p. |
| -- | online resource. |
| 336 ## - CONTENT TYPE | |
| Content Type Term | text |
| Content Type Code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media Type Term | computer |
| Media Type Code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier Type Term | online resource |
| Carrier Type Code | cr |
| Source | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 490 1# - | |
| -- | Statistics and Computing, |
| -- | 1431-8784 |
| 505 0# - | |
| -- | Basics -- The R environment -- Probability and distributions -- Descriptive statistics and graphics -- One- and two-sample tests -- Regression and correlation -- Analysis of variance and the Kruskal–Wallis test -- Tabular data -- Power and the computation of sample size -- Advanced data handling -- Multiple regression -- Linear models -- Logistic regression -- Survival analysis -- Rates and Poisson regression -- Nonlinear curve fitting. |
| 520 ## - | |
| -- | R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis and methodological development. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. A supplementary R package can be downloaded and contains the data sets. The statistical methodology includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last six chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, survival analysis, Poisson regression, and nonlinear regression. In the second edition, the text and code have been updated to R version 2.6.2. The last two methodological chapters are new, as is a chapter on advanced data handling. The introductory chapter has been extended and reorganized as two chapters. Exercises have been revised and answers are now provided in an Appendix. Peter Dalgaard is associate professor at the Department of Biostatistics at the University of Copenhagen and has extensive experience in teaching within the PhD curriculum at the Faculty of Health Sciences. He has been a member of the R Core Team since 1997. |
| 650 #0 - | |
| -- | Distribution (Probability theory. |
| 650 #0 - | |
| -- | Mathematical statistics. |
| 650 #0 - | |
| -- | Bioinformatics. |
| 650 #0 - | |
| -- | Biology |
| -- | Data processing. |
| 650 14 - | |
| -- | Probability Theory and Stochastic Processes. |
| -- | http://scigraph.springernature.com/things/product-market-codes/M27004 |
| 650 24 - | |
| -- | Statistics and Computing/Statistics Programs. |
| -- | http://scigraph.springernature.com/things/product-market-codes/S12008 |
| 650 24 - | |
| -- | Bioinformatics. |
| -- | http://scigraph.springernature.com/things/product-market-codes/L15001 |
| 650 24 - | |
| -- | Computer Appl. in Life Sciences. |
| -- | http://scigraph.springernature.com/things/product-market-codes/L17004 |
| 710 2# - | |
| -- | SpringerLink (Online service) |
| 773 0# - | |
| -- | Springer eBooks |
| 776 08 - | |
| -- | Printed edition: |
| -- | 9780387570655 |
| 776 08 - | |
| -- | Printed edition: |
| -- | 9780387790534 |
| 830 #0 - | |
| -- | Statistics and Computing, |
| -- | 1431-8784 |
| 856 40 - | |
| -- | https://doi.org/10.1007/978-0-387-79054-1 |
| 912 ## - | |
| -- | ZDB-2-SMA |
| 950 ## - | |
| -- | Mathematics and Statistics (Springer-11649) |
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