000 -LEADER |
fixed length control field |
nam a22 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
231001b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780134546926 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
005.13 |
Item number |
LAN |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Lander, Jared P. |
245 ## - TITLE STATEMENT |
Title |
R for everyone : advanced analytics and graphics |
250 ## - EDITION STATEMENT |
Edition statement |
2nd ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc |
Addison Wesley, |
Date of publication, distribution, etc |
2017 |
Place of publication, distribution, etc |
Boston : |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxiv,528 p. ; |
Other physical details |
ill., |
Dimensions |
24 cm |
365 ## - TRADE PRICE |
Price amount |
3709.88 |
Price type code |
INR |
Unit of pricing |
01 |
490 ## - SERIES STATEMENT |
Series statement |
Addison Wesley Data & Analytics Series |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes index. |
520 ## - SUMMARY, ETC. |
Summary, etc |
Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you'll need to accomplish 80 percent of modern data tasks. Lander's self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You'll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, you'll construct several complete models, both linear and nonlinear, and use some data mining techniques. By the time you're done, you won't just know how to write R programs, you'll be ready to tackle the statistical problems you care about most. COVERAGE INCLUDES • Exploring R, RStudio, and R packages • Using R for math: variable types, vectors, calling functions, and more • Exploiting data structures, including data.frames, matrices, and lists • Creating attractive, intuitive statistical graphics • Writing user-defined functions • Controlling program flow with if, ifelse, and complex checks • Improving program efficiency with group manipulations • Combining and reshaping multiple datasets • Manipulating strings using R's facilities and regular expressions • Creating normal, binomial, and Poisson probability distributions • Programming basic statistics: mean, standard deviation, and t-tests • Building linear, generalized linear, and nonlinear models • Assessing the quality of models and variable selection • Preventing overfitting, using the Elastic Net and Bayesian methods • Analyzing univariate and multivariate time series data • Grouping data via K-means and hierarchical clustering • Preparing reports, slideshows, and web pages with knitr • Building reusable R packages with devtools and Rcpp • Getting involved with the R global community. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Mathematical and statistical software |
|
Topical term or geographic name as entry element |
Statistics data processing |
|
Topical term or geographic name as entry element |
Scripting languages |
|
Topical term or geographic name as entry element |
Computer simulation |
|
Topical term or geographic name as entry element |
R packages |
|
Topical term or geographic name as entry element |
R functions |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
Books |