LEADER 00000cam a2200493 i 4500 
001    ocn852681998 
003    OCoLC 
005    20160606071834.0 
008    130709s2014    njuab    b    001 0 eng   
010    2013027407 
020    9780321888037|q(alk. paper) 
020    0321888030|q(alk. paper) 
035    (OCoLC)852681998|z(OCoLC)824734077|z(OCoLC)869191662 
040    DLC|beng|erda|cDLC|dOCLCO|dYDXCP|dUKMGB|dPUL|dGK8|dOKU
       |dUPM|dOCLCF|dCDX|dZCU|dOCLCQ|dBKL|dUtOrBLW 
042    pcc 
049    BKLA 
082 00 005.13|223 
099    005.133|aR|aL 
100 1  Lander, Jared P. 
245 10 R for everyone :|badvanced analytics and graphics /|cby 
       Jared P. Lander. 
264  1 Upper Saddle River, New Jersey :|bAddison-Wesley,|c[2014] 
300    xxi, 432 pages :|billustrations, maps ;|c24 cm. 
336    text|btxt|2rdacontent 
337    unmediated|bn|2rdamedia 
338    volume|bnc|2rdacarrier 
490 1  Addison Wesley data and analytics series 
504    Includes bibliographical references and indexes. 
505 0  Machine generated contents note: 1. Getting R -- 1.1. 
       Downloading R -- 1.2.R Version -- 1.3.32-bit versus 64-bit
       -- 1.4. Installing -- 1.5. Revolution R Community Edition 
       -- 1.6. Conclusion -- 2. The R Environment -- 2.1.Command 
       Line Interface -- 2.2. RStudio -- 2.3. Revolution 
       Analytics RPE -- 2.4. Conclusion -- 3.R Packages -- 3.1. 
       Installing Packages -- 3.2. Loading Packages -- 3.3. 
       Building a Package -- 3.4. Conclusion -- 4. Basics of R --
       4.1. Basic Math -- 4.2. Variables -- 4.3. Data Types -- 
       4.4. Vectors -- 4.5. Calling Functions -- 4.6. Function 
       Documentation -- 4.7. Missing Data -- 4.8. Conclusion -- 
       5. Advanced Data Structures -- 5.1.data.frames -- 5.2. 
       Lists -- 5.3. Matrices -- 5.4. Arrays -- 5.5. Conclusion -
       - 6. Reading Data into R -- 6.1. Reading CSVs -- 6.2. 
       Excel Data -- 6.3. Reading from Databases -- 6.4. Data 
       from Other Statistical Tools -- 6.5.R Binary Files -- 6.6.
       Data Included with R -- 6.7. Extract Data from Web Sites -
       - 6.8. Conclusion -- 7. Statistical Graphics -- 7.1. Base 
       Graphics -- 7.2.ggplot2 -- 7.3. Conclusion -- 8. Writing R
       Functions -- 8.1. Hello, World! -- 8.2. Function Arguments
       -- 8.3. Return Values -- 8.4.do. call -- 8.5. Conclusion -
       - 9. Control Statements -- 9.1. If and else -- 9.2.switch 
       -- 9.3.ifelse -- 9.4.Compound Tests -- 9.5. Conclusion -- 
       10. Loops, the Un-R Way to Iterate -- 10.1. For Loops -- 
       10.2. While Loops -- 10.3. Controlling Loops -- 10.4. 
       Conclusion -- 11. Group Manipulation -- 11.1. Apply Family
       -- 11.2.aggregate -- 11.3.plyr -- 11.4.data.table -- 11.5.
       Conclusion -- 12. Data Reshaping -- 12.1.cbind and rbind -
       - 12.2. Joins -- 12.3.reshape2 -- 12.4. Conclusion -- 13. 
       Manipulating Strings -- 13.1.paste -- 13.2.sprintf -- 
       13.3. Extracting Text -- 13.4. Regular Expressions -- 
       13.5. Conclusion -- 14. Probability Distributions -- 14.1.
       Normal Distribution -- 14.2. Binomial Distribution -- 
       14.3. Poisson Distribution -- 14.4. Other Distributions --
       14.5. Conclusion -- 15. Basic Statistics -- 15.1. Summary 
       Statistics -- 15.2. Correlation and Covariance -- 15.3.T-
       Tests -- 15.4. ANOVA -- 15.5. Conclusion -- 16. Linear 
       Models -- 16.1. Simple Linear Regression -- 16.2. Multiple
       Regression -- 16.3. Conclusion -- 17. Generalized Linear 
       Models -- 17.1. Logistic Regression -- 17.2. Poisson 
       Regression -- 17.3. Other Generalized Linear Models -- 
       17.4. Survival Analysis -- 17.5. Conclusion -- 18. Model 
       Diagnostics -- 18.1. Residuals -- 18.2.Comparing Models --
       18.3. Cross-Validation -- 18.4. Bootstrap -- 18.5. 
       Stepwise Variable Selection -- 18.6. Conclusion -- 19. 
       Regularization and Shrinkage -- 19.1. Elastic Net -- 19.2.
       Bayesian Shrinkage -- 19.3. Conclusion -- 20. Nonlinear 
       Models -- 20.1. Nonlinear Least Squares -- 20.2. Splines -
       - 20.3. Generalized Additive Models -- 20.4. Decision 
       Trees -- 20.5. Random Forests -- 20.6. Conclusion -- 21. 
       Time Series and Autocorrelation -- 21.1. Autoregressive 
       Moving Average -- 21.2. VAR -- 21.3. GARCH -- 21.4. 
       Conclusion -- 22. Clustering -- 22.1.K-means -- 22.2. PAM 
       -- 22.3. Hierarchical Clustering -- 22.4. Conclusion -- 
       23. Reproducibility, Reports and Slide Shows with knitr --
       23.1. Installing LATEX Program -- 23.2. LATEX Primer -- 
       23.3. Using knitr with LATEX -- 23.4. Markdown Tips -- 
       23.5. Using knitr and Markdown -- 23.6.pandoc -- 23.7. 
       Conclusion -- 24. Building R Packages -- 24.1. Folder 
       Structure -- 24.2. Package Files -- 24.3. Package 
       Documentation -- 24.4. Checking, Building and Installing -
       - 24.5. Submitting to CRAN -- 24.6.C++ Code -- 24.7. 
       Conclusion -- A. Real-Life Resources -- A.1. Meetups -- 
       A.2. Stackoverflow -- A.3. Twitter -- A.4. Conferences -- 
       A.5. Web Sites -- A.6. Documents -- A.7. Books -- A.8. 
       Conclusion -- B. Glossary. 
650  0 R (Computer program language) 
650  0 Scripting languages (Computer science) 
650  0 Statistics|xData processing. 
650  0 Statistics|xGraphic methods|xData processing. 
650  0 Computer simulation. 
650  7 Computer simulation.|2fast|0(OCoLC)fst00872518 
650  7 R (Computer program language)|2fast|0(OCoLC)fst01086207 
650  7 Scripting languages (Computer science)|2fast
       |0(OCoLC)fst01741005 
650  7 Statistics|xData processing.|2fast|0(OCoLC)fst01132113 
650  7 Statistics|xGraphic methods|xData processing.|2fast
       |0(OCoLC)fst01132119 
830  0 Addison-Wesley data and analytics series. 
947    JIS 
948    MARS 
994    C0|bBKL