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R for dummies /

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Xehetasun bibliografikoak
Egile Nagusiak:	De Vries, Andrie (Egilea), Meys, Joris (Egilea)
Formatua:	Baliabide elektronikoa eBook
Hizkuntza:	ingelesa
Argitaratua:	Hoboken, New Jersey : John Wiley & Sons, Inc., 2015.
Edizioa:	Second edition.
Saila:	--For dummies.
Gaiak:	R (Computer program language) Electronic books.
Sarrera elektronikoa:	An electronic book accessible through the World Wide Web; click to view
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak

R high performance programming : overcome performance difficulties in R with a range of exciting techniques and solutions /
nork: Lim, Aloysius, et al.
Argitaratua: (2015)

Instant heat maps in R how-to learn how to design heat maps in R to enhance your data analysis /
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The essential R reference
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R data visualization cookbook : over 80 recipes to analyze data and create stunning visualizations with R /
nork: Gohil, Atmajitsinh
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Understanding and applying basic statistical methods using R /
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Beginning R the statistical programming language /
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Argitaratua: (2012)

Learning data mining with R : develop key skills and techniques with R to create and customize data mining algorithms /
nork: Makhabel, Bater
Argitaratua: (2015)

Probability with applications in R /
nork: Dobrow, Robert P.
Argitaratua: (2014)

An introduction to bootstrap methods with applications to R /
nork: Chernick, Michael R., et al.
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The art of R programming a tour of statistical software design /
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R for data science : learn and explore the fundamentals of data science with R /
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R graphs cookbook : over 70 recipes for building and customizing publication-quality visualization of powerful and stunning R graphs /
nork: Abedin, Jaynal, et al.
Argitaratua: (2014)

A course in statistics with R /
nork: Tattar, Prabhanjan, 1979-, et al.
Argitaratua: (2016)

R graphs cookbook detailed hands-on recipes for creating the most useful types of graphs in R-- starting from the simplest versions to more advanced applications /
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Argitaratua: (2011)

R statistical application development by example beginner's guide
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Statistical analysis with R beginner's guide /
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Argitaratua: (2010)

Big data analytics with R and Hadoop /
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Argitaratua: (2013)

Data manipulation with R : perform group-wise data manipulation and deal with large datasets using R efficiently and effectively /
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Argitaratua: (2014)

Statistics : an introduction using R /
nork: Crawley, Michael J.
Argitaratua: (2015)

Statistics : an introduction using R /
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Using R for statistics /
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Bioinformatics with R cookbook : over 90 practical recipes for computational biologists to model and handle real-life data using R /
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Biostatistical design and analysis using R a practical guide /
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Introduction to stochastic processes with R /
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Argitaratua: (2016)

Learning RStudio for R statistical computing learn to effectively perform R development, statistical analysis, and reporting with the most popular R IDE /
nork: Van der Loo, Mark P. J.
Argitaratua: (2012)

R object-oriented programming : a practical guide to help you learn and understand the programming techniques necessary to exploit the full power of R /
nork: Black, Kelly
Argitaratua: (2014)

Statistical hypothesis testing with SAS and R /
nork: Taeger, Dirk
Argitaratua: (2014)

Discovering statistics using R /
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Argitaratua: (2012)

R and data mining examples and case studies /
nork: Zhao, Yanchang
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Business analytics and data mining with R
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Argitaratua: (2013)

Basic data analysis for time series with R /
nork: Derryberry, DeWayne R.
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Nonlinear parameter optimization using R tools /
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Guidebook to R graphics using Microsoft Windows
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Data mining applications with R /
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Introduction to R for quantitative finance /
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Data mining algorithms : explained using R /
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An introduction to analysis of financial data with R /
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Adaptive tests of significance using permutations of residuals with R and SAS
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Statistical methods for hospital monitoring with R
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C++ for dummies /
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