| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000045991537 | |
| 005 | 20190723164534 | |
| 008 | 190723s2014 flua bf 001 0 eng d | |
| 010 | ▼a 2014498897 | |
| 020 | ▼a 9781482204582 ▼q paperback : acid-free paper | |
| 020 | ▼a 1482204584 ▼q paperback : acid-free paper | |
| 035 | ▼a (KERIS)REF000017737059 | |
| 040 | ▼a YDXCP ▼b eng ▼c YDXCP ▼e rda ▼d BTCTA ▼d BDX ▼d IPL ▼d P4A ▼d OCLCQ ▼d OCLCF ▼d UAB ▼d CDX ▼d DLC ▼d 211009 | |
| 050 | 0 0 | ▼a QA276.45.R3 ▼b H68 2014 |
| 082 | 0 4 | ▼a 519.50285/5133 ▼2 23 |
| 084 | ▼a 519.50285 ▼2 DDCK | |
| 090 | ▼a 519.50285 ▼b E93h3 | |
| 100 | 1 | ▼a Hothorn, Torsten. |
| 245 | 1 2 | ▼a A handbook of statistical analyses using R / ▼c Torsten Hothorn, Universität Zürich, Zürich, Switzerland, Brian S. Everitt, Professor Emeritus, King's College, London, UK. |
| 250 | ▼a 3rd ed. | |
| 260 | ▼a Boca Raton : ▼b CRC Press, Taylor & Francis Group, ▼c 2014. | |
| 300 | ▼a xxix, 421 p. : ▼b ill. ; ▼c 24 cm. | |
| 500 | ▼a "A Chapman & Hall book"--Cover. | |
| 500 | ▼a Previous editions cataloged under main entry for Brian S. Everitt. | |
| 504 | ▼a Includes bibliographical references (p. 399-414) and index. | |
| 505 | 0 | ▼a An introduction to R -- Data analysis using graphical displays -- Simple inference -- Conditional inference -- Analysis of variance -- Simple and multiple linear regression -- Logistic repression and generalised linear models -- Density estimation -- Recursive partitioning -- Scatterplot smoothers and addictive models -- Survival analysis -- Quantile regression -- Analyzing longitudinal data I -- Analyzing longitudinal data II -- Simultaneous inference and multiple comparisons -- Missing values -- Meta-analysis -- Bayesian interference -- Principal component analysis -- Multidimensional scaling -- Cluster analysis. |
| 650 | 0 | ▼a Mathematical statistics ▼x Data processing ▼v Handbooks, manuals, etc. |
| 650 | 0 | ▼a R (Computer program language) ▼v Handbooks, manuals, etc. |
| 700 | 1 | ▼a Everitt, Brian. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 519.50285 E93h3 | 등록번호 121249685 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
목차
Section Section Description Page Number Preface to Third Edition p. xi Preface to Second Edition p. xiii Preface to First Edition p. xv 1 An Introduction to R p. 1 1.1 What is R? p. 1 1.2 Installing R p. 2 1.3 Help and Documentation p. 4 1.4 Data Objects in R p. 5 1.5 Data Import and Export p. 9 1.6 Basic Data Manipulation p. 11 1.7 Computing with Data p. 14 1.8 Organizing an Analysis p. 20 1.9 Summary of Findings p. 21 1.10 Final Comments p. 23 2 Data Analysis Using Graphical Displays p. 25 2.1 Introduction p. 25 2.2 Initial Data Analysis p. 27 2.3 Analysis Using R p. 29 2.4 Summary of Findings p. 40 2.5 Final Comments p. 41 3 Simple Inference p. 47 3.1 Introduction p. 47 3.2 Statistical Tests p. 51 3.3 Analysis Using R p. 55 3.4 Summary of Findings p. 65 3.5 Final Comments p. 66 4 Conditional Inference p. 69 4.1 Introduction p. 69 4.2 Conditional Test Procedures p. 72 4.3 Analysis Using R p. 74 4.4 Summary of Findings p. 81 4.5 Final Comments p. 81 5 Analysis of Variance p. 83 5.1 Introduction p. 83 5.2 Analysis of Variance p. 86 5.3 Analysis Using R p. 87 5.4 Summary of Findings p. 98 5.5 Final Comments p. 99 6 Simple and Multiple Linear Regression p. 101 6.1 Introduction p. 101 6.2 Simple Linear Regression p. 103 6.3 Multiple Linear Regression p. 104 6.4 Analysis Using R p. 107 6.5 Summary of Findings p. 118 6.6 Final Comments p. 119 7 Logistic Regression and Generalized Linear Models p. 121 7.1 Introduction p. 121 7.2 Logistic Regression and Generalized Linear Models p. 124 7.3 Analysis Using R p. 127 7.4 Summary of Findings p. 145 7.5 Final Comments p. 147 8 Density Estimation p. 149 8.1 Introduction p. 149 5.1 Density Estimation p. 151 8.1 Analysis Using R p. 156 8.2 Summary of Findings p. 164 8.3 Final Comments p. 165 9 Recursive Partitioning p. 171 9.1 Introduction p. 171 9.2 Recursive Partitioning p. 174 9.3 Analysis Using R p. 175 9.4 Summary of Findings p. 186 9.5 Final Comments p. 186 10 Scatterplot Smoothers and Additive Models p. 187 10.1 Introduction p. 187 10.2 Scatterplot Smoothers and Generalized Additive Models p. 191 10.3 Analysis Using R p. 196 10.4 Summary of Findings p. 205 10.5 Final Comments p. 206 11 Survival Analysis p. 209 11.1 Introduction p. 209 11.2 Survival Analysis p. 210 11.3 Analysis Using R p. 216 11.4 Summary of Findings p. 223 11.5 Final Comments p. 224 12 Quantile Regression p. 227 12.1 Introduction p. 227 12.2 Quantile Regression p. 228 12.3 Analysis Using R p. 230 12.4 Summary of Findings p. 241 12.5 Final Comments p. 242 13 Analyzing Longitudinal Data I p. 243 13.1 Introduction p. 243 13.2 Analyzing Longitudinal Data p. 246 13.3 Linear Mixed Effects Models p. 247 13.4 Analysis Using R p. 249 13.5 Prediction of Random Effects p. 253 13.6 The Problem of Dropouts p. 253 13.7 Summary of Findings p. 256 13.8 Final Comments p. 258 14 Analyzing Longitudinal Data II p. 261 14.1 Introduction p. 261 14.2 Methods for Non-normal Distributions p. 263 14.3 Analysis Using R: GEE p. 268 14.4 Analysis Using R: Random Effects p. 277 14.5 Summary of Findings p. 280 14.6 Final Comments p. 280 15 Simultaneous Inference and Multiple Comparisons p. 283 15.1 Introduction p. 283 15.2 Simultaneous Inference and Multiple Comparisons p. 286 15.3 Analysis Using R p. 287 15.4 Summary of Findings p. 294 15.5 Final Comments p. 295 16 Missing Values p. 297 16.1 Introduction p. 297 16.2 The Problems of Missing Data p. 298 16.3 Dealing With Missing Values p. 299 16.4 Imputing Missing Values p. 300 16.5 Analyzing Multiply Imputed Data p. 301 16.6 Analysis Using R p. 303 16.6 Summary of Findings p. 311 16.6 Final Comments p. 311 17 Meta-Analysis p. 313 17.1 Introduction p. 313 17.2 Systematic Reviews and Meta-Analysis p. 315 17.3 Statistics of Meta-Analysis p. 317 17.4 Analysis Using R p. 319 17.1 Meta-Regression p. 322 17.1 Publication Bias p. 323 17.2 Summary of Findings p. 325 17.3 Final Comments p. 325 18 Bayesian Inference p. 331 18.1 Introduction p. 331 18.2 Bayesian Inference p. 333 18.1 Analysis Using R p. 337 18.1 Summary of Findings p. 344 18.2 Final Comments p. 344 19 Principal Component Analysis p. 347 19.1 Introduction p. 347 19.2 Principal Component Analysis p. 347 19.3 Analysis Using R p. 350 19.4 Summary of Findings p. 357 19.5 Final Comments p. 357 20 Multidimensional Scaling p. 361 20.1 Introduction p. 361 20.2 Multidimensional Scaling p. 361 20.3 Analysis Using R p. 367 20.4 Summary of Findings p. 372 20.5 Final Comments p. 373 21 Cluster Analysis p. 377 21.1 Introduction p. 377 21.2 Cluster Analysis p. 380 21.3 Analysis Using R p. 387 21.4 Summary of Findings p. 394 23.1 Final Comments p. 397 Bibliography p. 399 Index p. 415
