Handbook of statistical analyses using R (Record no. 102345)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04661nam a22001817a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781482204582 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.50285 HOT |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Hothorn, Torsten |
| -- | Everitt, Brain S |
| 245 ## - TITLE STATEMENT | |
| Title | Handbook of statistical analyses using R |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 3 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New York |
| Name of publisher, distributor, etc. | CRC Press |
| Date of publication, distribution, etc. | 2014 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxiv,421p. |
| Other physical details | 23cm; Soft |
| 500 ## - GENERAL NOTE | |
| General note | Alpha 1040/02 Jan 15<br/>Rs.4023/-<br/> |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Table of Contents<br/><br/>Introduction <br/>Density Estimation <br/>Analysis Using R <br/>Summary of Findings <br/>Final Comments<br/><br/>Recursive Partitioning <br/>Introduction <br/>Recursive Partitioning <br/>Analysis Using R <br/>Summary of Findings<br/>Final Comments <br/><br/>Scatterplot Smoothers and Additive Models <br/>Introduction <br/>Scatterplot Smoothers and Generalised Additive Models <br/>Analysis Using R <br/>Summary of Findings<br/>Final Comments<br/><br/>Survival Analysis <br/>Introduction <br/>Survival Analysis <br/>Analysis Using R <br/>Summary of Findings<br/>Final Comments <br/><br/>Quantile Regression<br/>Introduction <br/>Quantile Regression <br/>Analysis Using R <br/>Summary of Findings <br/>Final Comments <br/><br/>Analysing Longitudinal Data I <br/>Introduction <br/>Analysing Longitudinal Data <br/>Linear Mixed Effects Models <br/>Analysis Using R <br/>Prediction of Random Effects <br/>The Problem of Dropouts <br/>Summary of Findings <br/>Final Comments<br/><br/>Analysing Longitudinal Data II <br/>Introduction <br/>Methods for Non-Normal Distributions <br/>Analysis Using R: GEE <br/>Analysis Using R: Random Effects <br/>Summary of Findings <br/>Final Comments <br/><br/>Simultaneous Inference and Multiple Comparisons <br/>Introduction <br/>Simultaneous Inference and Multiple Comparisons <br/>Analysis Using R <br/>Summary of Findings <br/>Final Comments<br/><br/>Missing Values<br/>Introduction <br/>The Problems of Missing Data <br/>Dealing with Missing Values <br/>Imputing Missing Values <br/>Analyzing Multiply Imputed Data <br/>Analysis Using R <br/>Summary of Findings <br/>Final Comments<br/><br/>Meta-Analysis <br/>Introduction <br/>Systematic Reviews and Meta-Analysis <br/>Statistics of Meta-Analysis <br/>Analysis Using R <br/>Meta-Regression <br/>Publication Bias <br/>Summary of Findings <br/>Final Comments <br/><br/>Bayesian Inference <br/>Introduction <br/>Bayesian Inference <br/>Analysis Using R <br/>Summary of Findings <br/>Final Comments <br/><br/>Principal Component Analysis <br/>Introduction <br/>Principal Component Analysis <br/>Analysis Using R <br/>Summary of Findings <br/>Final Comments<br/><br/>Multidimensional Scaling <br/>Introduction <br/>Multidimensional Scaling <br/>Analysis Using R <br/>Summary of Findings <br/>Final Comments <br/><br/>Cluster Analysis <br/>Introduction <br/>Cluster Analysis <br/>Analysis Using R <br/>Summary of Findings <br/>Final Comments<br/><br/>Bibliography<br/><br/>Index |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Features<br/><br/>Presents straightforward descriptions of how to use R and interpret the results<br/>Gives an introduction to R for novices, covering basic concepts and common data manipulation techniques<br/>Shows how to obtain informative graphical output by applying the appropriate R functions<br/>Includes more examples and exercises that encourage hands-on practice with R<br/>Offers the data, R code, and lecture slides in the HSAUR3 package available from CRAN<br/>Summary<br/><br/>Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis.<br/><br/>New to the Third Edition<br/><br/>Three new chapters on quantile regression, missing values, and Bayesian inference<br/>Extra material in the logistic regression chapter that describes a regression model for ordered categorical response variables<br/>Additional exercises<br/>More detailed explanations of R code<br/>New section in each chapter summarizing the results of the analyses<br/>Updated version of the HSAUR package (HSAUR3), which includes some slides that can be used in introductory statistics courses<br/>Whether you’re a data analyst, scientist, or student, this handbook shows you how to easily use R to effectively evaluate your data. With numerous real-world examples, it emphasizes the practical application and interpretation of results. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Mathematical Statistics |
| -- | Data processing handbook |
| -- | R computer Program Language |
| -- | R computer Programing Language |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GSB Collection | 02/01/2015 | 1 | 519.50285 HOT | B1872 | 07/08/2018 | 14/09/2017 | 06/01/2015 | Books |