100+ Items that are about the Concept R (Computer program language)
Context
Context of R (Computer program language)Subject of
 A beginner's guide to GLM and GLMM with R : a frequentist and Bayesian perspective for ecologists
 A beginner's guide to data exploration and visualisation with R
 A first course in statistical programming with R
 A modern approach to regression with R
 A primer in biological data analysis and visualization using R
 A primer of ecology with R
 A survivor's guide to R : an introduction for the uninitiated and the unnerved
 A user's guide to business analytics
 Adaptive design theory and implementation using SAS and R
 Adaptive tests of significance using permutations of residuals with R and SAS
 Advanced R
 Advanced R : data programming and the cloud
 Advanced R programming, Part I
 Advanced data mining projects with R
 An R AND Splus companion to multivariate analysis
 An R and SPlus companion to applied regression
 An introduction to analysis of financial data with R
 An introduction to analysis of financial data with R
 An introduction to applied multivariate analysis with R
 An introduction to bootstrap methods with applications to R
 An introduction to data analysis using aggregation functions in R
 An introduction to statistical learning : with applications in R
 An introduction to statistical learning : with applications in R
 Analysis of integrated and cointegrated time series with R
 Analysis of phylogenetics and evolution with R
 Analysis of phylogenetics and evolution with R
 Analyzing compositional data with R
 Analyzing linguistic data : a practical introduction to statistics using R
 Applied Econometrics with R
 Applied biclustering methods for big and high dimensional data using R
 Applied data mining for business analytics
 Applied hierarchical modeling in ecology : analysis of distribution, abundance and species richness in R and BUGS, Volume 1, Prelude and static models
 Applied spatial data analysis with R
 Applied spatial data analysis with R
 Applied statistical genetics with R : for populationbased association studies
 Applied statistics using SPSS, STATISTICA, MATLAB and R
 Automated data collection with R : a practical guide to Web scraping and text mining
 Barebones R : a brief introductory guide
 Basic data analysis for time series with R
 Bayesian computation with R
 Bayesian data analysis in ecology using linear models with R, BUGS, and Stan
 Bayesian essentials with R
 Bayesian networks in R : with applications in systems biology
 Beginner's guide to spatial, temporal, and spatialtemporal ecological data analysis with RINLA, volume 1, Using GLM and GLMM
 Beginner's guide to zeroinflated models with R
 Beginning R : an introduction to statistical programming
 Beginning R : the statistical programming language : programming & software development
 Behavioral research data analysis with R
 Benchmarking with DEA, SFA, and R
 Big Data analytics with R and Hadoop : set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics
 Big data analytics with R : utilize R to uncover hidden patterns in your big data
 Bioconductor case studies
 Bioconductor case studies
 Bioinformatics and computational biology solutions using R and Bioconductor
 Bioinformatics with R cookbook : over 90 practical recipes for computational biologists to model and handle reallife data using R
 Biostatistical design and analysis using R : a practical guide
 Biostatistics and computerbased analysis of health data using the R software
 Biostatistics with R : an introduction to statistics through biological data
 Biostatistics with R : an introduction to statistics through biological data
 Building a recommendation system with R : learn the art of building robust and powerful recommendation engines using R
 Building interactive graphs with ggplot2 and Shiny
 Chemometrics with R : multivariate data analysis in the natural sciences and life Sciences
 Clinical trial data analysis using R
 Combinatorial pattern matching algorithms in computational biology using Perl and R
 Combinatorial pattern matching algorithms in computational biology using Perl and R
 Competing risks and multistate models with R
 Complex surveys : a guide to analysis using R
 Computational actuarial science with R
 Computational finance : an introductory course with R
 Computational statistics : an introduction to R
 Contingency table analysis : methods and implementation using R
 Customer and business analytics : applied data mining for business decision making using R
 Data analysis and graphics using R : an examplebased approach
 Data analysis for the life sciences with R
 Data analysis with R : load, wrangle, and analyze your data using the world's most powerful statistical programming language
 Data manipulation With R
 Data manipulation with R : efficiently perform data manipulation using the splitapplycombine strategy in R
 Data manipulation with R : perform groupwise data manipulation and deal with large datasets using R efficiently and effectively
 Data mining algorithms : explained using R
 Data mining and business analytics with R
 Data mining applications with R
 Data mining with R : learning with case studies
 Data mining with Rattle and R : the art of excavating data for knowledge discovery
 Data science in R : a case studies approach to computational reasoning and problem solving
 Data science with Microsoft Azure and R
 Data science with Python and R
 Data visualisation with R : 100 examples
 Data visualization in R with ggplot2 : creating effective and attractive data visualizations
 Deep dive into statistical modeling with R
 Deep learning with R
 Developing financial analysis tools
 Discovering statistics using R
 Displaying time series, spatial, and spacetime data with R
 Dynamic linear models with R
 Easy, reproducible report with R
 Ecological models and data in R
 Efficient R optimization
 Efficient R programming : a practical guide to smarter programming
 Efficient data processing with R
 EnvStats : an R package for environmental statistics
 Environmental and ecological statistics with R
 Environmental and ecological statistics with R
 Event history analysis with R
 Expert data wrangling with R : streamline your work with tidyr, dplyr, and ggvis
 Financial analytics with R : building a laptop laboratory for data science
 Forest analytics with R : an introduction
 Functional data analysis with R and MATLAB
 Functional programming in R : advanced statistical programming for data science, analysis and finance
 Fundamentals of R programming and statistical analysis
 Getting started with Greenplum for big data analytics : a handson guide on how to execute an analytics project from conceptualization to operationalization using Greenplum
 Getting started with R : an introduction for biologists
 Getting started with R : an introduction for biologists
 Getting started with R : an introduction for biologists
 Getting started with R for data science
 Getting started with machine learning with R
 Ggplot2 : elegant graphics for data analysis
 Graphical data analysis with R
 Graphical models with R
 Graphical models with R
 Graphing data with R : an introduction
 Great R, Level 1
 Growth curve analysis and visualization using R
 Guide to programming and algorithms using R
 Guidebook to R graphics using Microsoft Windows
 Handson intermediate econometrics using R : templates for extending dozens of practical examples
 Handson matrix algebra using R : active and motivated learning with applications
 Health science statistics using R and R Commander
 Heavy lifting using R libraries
 Hidden Markov models for time series : an introduction using R
 Instant heat maps in R howto : learn how to design heat maps in R to enhance your data analysis
 Interactive and dynamic graphics for data analysis : with R and GGobi
 Introducing Monte Carlo methods with R
 Introduction to R for business intelligence : learn how to leverage the power of R for business intelligence
 Introduction to R for quantitative finance : solve a diverse range of problems with R, one of the most powerful tools for quantitative finance
 Introduction to R programming
 Introduction to Shiny : learn how to build interactive web apps with R, Shiny, and reactive programming
 Introduction to data analysis and graphical presentation in biostatistics with R : statistics in the large
 Introduction to data science with R : manipulating, visualizing, and modeling data with the R language
 Introduction to image processing using R : learning by examples
 Introduction to probability with R
 Introduction to scientific programming and simulation using R
 Introduction to scientific programming and simulation with R
 Introduction to stochastic processes with R
 Introductory adaptive trial designs : a practical guide with R
 Introductory fisheries analyses with R
 Introductory time series with R
 Joint models for longitudinal and timetoevent data : with applications in R
 Lattice : multivariate data visualization with R
 Learning Bayesian models with R : become an expert in Bayesian machine learning methods using R and apply them to solve realworld big data problems
 Learning R for data visualization
 Learning R programming : become an efficient data scientist with R
 Learning RStudio for R statistical computing : learn to effectively perform R development, statistical analysis, and reporting with the most popular R IDE
 Learning analytics in R with SNA, LSA, and MPIA
 Learning data mining with R
 Learning data mining with R : develop key skills and techniques with R to create and customize data mining algorithms
 Learning path : R : complete machine learning and deep learning solutions
 Learning path : R : data cleaning and preprocessing
 Learning path : R : data extraction, transformation, and loading
 Learning path : R : mastering the ggplot2 library
 Learning path : R : powerful data analysis with R
 Learning path : R : realworld data mining with R
 Learning path : R programming
 Learning path : data science with R
 Learning path : data visualization with R
 Learning path : intermediate data science with R
 Learning path : introduction to data science with R
 Learning path : stepbystep programming with Python and R
 Learning predictive analytics with Python : gain practical insights into predictive modelling by implementing predictive analytics algorithms on public datasets with Python
 Learning predictive analytics with R : get to grips with key data visualization and predictive analytic skills using R
 Learning probabilistic graphical models in R : familiarize yourself with probabilistic graphical models through realworld problems and illustrative code examples in R
 Learning quantitative finance with R : implement machine learning, timeseries analysis, algorithmic trading and more
 Learning shiny : make the most of R's dynamic capabilities and create web applications with Shiny
 Learning social media analytics with R : transform data from social media platforms into actionable insights
 Learning to program with R
 Linear mixedeffects models using R : a stepbystep approach
 Machine learning and data science : an introduction to statistical learning methods with R
 Machine learning using advanced algorithms and visualization in R
 Machine learning with R : discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R
 Machine learning with R cookbook : explore over 110 recipes to analyze data and build predictive models with the simple and easytouse R code
 Making your case : using R for program evaluation
 Marketing data science : modeling techniques in predictive analytics with R and Python
 Mastering R for quantitative finance : use R to optimize your trading strategy and build up your own risk management system
 Mastering R programming
 Mastering RStudio : develop, communicate, and collaborate with R : harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizations
 Mastering data analysis with R
 Mastering data analysis with R : gain clear insights into your data and solve realworld data science problems with Rfrom data munging to modeling and visualization
 Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x
 Mastering machine learning with R : master machine learning techniques with R to deliver insights for complex projects
 Mastering parallel programming with R : master the robust features of R parallel programming to accelerate your data science computations
 Mastering predictive analytics with R : master the craft of predictive modeling by developing strategy, intuition, and a solid foundation in essential concepts
 Mastering scientific computing with R : employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment
 Mastering social media mining with R : extract valuable data from social media sites and make better business decisions using R
 Mastering text mining with R : master texttaming techniques and build effective textprocessing applications with R
 Mixed effects models and extensions in ecology with R
 Modeling psychophysical data in R
 Modeling techniques in predictive analytics : business problems and solutions with R
 Modern industrial statistics : with applications in R, MINITAB and JMP
 Modern optimization with R
 Morphometrics with R
 Multilevel modeling using R
 Multiple comparisons using R
 Multiple decrement models in insurance : an introduction using R
 Multistate analysis of life histories with R
 Multivariate nonparametric methods with R : an approach based on spatial signs and ranks
 Multivariate statistical quality control using R
 Multivariate time series analysis : with R and financial applications
 Nonlinear parameter optimization using R tools
 Nonlinear regression with R
 Nonparametric hypothesis testing : rank and permutation methods with applications in R
 Nonparametric statistical methods using R
 Numerical analysis using R : solutions to ODEs and PDEs
 Numerical ecology with R
 Option pricing and estimation of financial models with R
 Parallel computing for data science : with examples in R, C++ and CUDA
 Permutation tests for stochastic ordering and ANOVA : theory and applications with R
 Practical data science cookbook : 89 handson recipes to help you complete realworld data science projects in R and Python
 Practical data science cookbook : practical recipes on data preprocessing, analysis and visualization using R and Python
 Practical machine learning cookbook : resolving and offering solutions to your machine learning problems with R
 Practical predictive analytics : back to the future with R, Spark, and more!
 Probability with applications in R
 Programming Graphical User Interfaces In R
 Programming graphical user interfaces in R
 Programming languages for data science (Julia, Scala, Python, and R)
 Psychologie statistique avec R
 Qualitative comparative analysis with R : a user's guide
 Quantitative corpus linguistics with R : a practical introduction
 R : data analysis and visualization
 R : mining spatial, text, web, and social media data : create and customize data mioning algorithms : a course in three modules
 R : predictive analysis : master the art of predictive modeling
 R : recipes for analysis, visualization and machine learning : get savvy with R language and actualize projects aimed at analysis, visualization and machine learning
 R : unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules
 R Deep learning essentials : build automatic classification and prediction models using unsupervised learning
 R Graph essentials : use R's powerful graphing capabilities to design and create professionallevel graphics
 R Graphs cookbook : over 70 recipes for building and customizing publicationquality visualizations of powerful and stunning R graphs
 R Statistical Application Development by Example Beginner's Guide
 R and MATLAB
 R and data mining : examples and case studies
 R by example : concepts to code
 R cookbook
 R data analysis cookbook : over 80 recipes to help you breeze through your data analysis projects using R
 R data analysis solution : analyzing timeseries and social media data, and more
 R data analysis solutions : machine learning techniques
 R data mining blueprints : learn about data mining with realworld datasets
 R data mining projects
 R data science essentials : learn the essence of data science and visualization using R in no time at all
 R data structures and algorithms : increase speed and performance of your applications with efficient data structures and algorithms
 R data visualization : basic plots, maps, and pie charts
 R data visualization : word cloud and 3D plots
 R data visualization cookbook : over 80 recipes to analyze data and create stunning visualizations with R
 R deep learning cooking : solve complex neural net problems with TensorFlow, H2O and MXNet
 R for Microsoft Excel users : making the transition for statistical analysis
 R for SAS and SPSS users
 R for Stata users
 R for business analytics
 R for cloud computing : an approach for data scientists
 R for cloud computing : an approach for data scientists
 R for data science
 R for data science : import, tidy, transform, visualize, and model data
 R for data science cookbook : over 100 handson recipes to effectively solve realworld data problems using the most popular R packages and techniques
 R for data science solutions
 R for dummies
 R for everyone : advanced analytics and graphics
 R for programmers : mastering the tools
 R graph essentials
 R graphics
 R graphics
 R graphics
 R graphs cookbook
 R graphs cookbook : detailed handson recipes for creating the most useful types of graphs in Rstarting from the simplest versions to more advanced applications
 R high performance programming : overcome performance difficulties in R with a range of exciting techniques and solutions
 R in action : data analysis and graphics with R
 R machine learning by example : understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated realworld problems successfully
 R machine learning essentials : gain quick access to the machine learning concepts and practical applications using the R development environment
 R machine learning solution
 R objectoriented programming : a practical guide to help you learn and understand the programming techniques necessary to exploit the full power R
 R packages
 R programming
 R programming LiveLessons
 R programming LiveLessons : fundamentals to advanced
 R programming for bioinformatics
 R quick syntax reference
 R through Excel : a spreadsheet interface for statistics, data analysis, and graphics
 RStudio for R statistical computing cookbook : over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature
 Reproducible research and reports with R Markdown : how to streamline your reporting workflow in R
 Reproducible research with R and RStudio
 Régression avec R
 Réseaux bayésiens avec R
 SAS and R : data management, statistical analysis, and graphics
 Sams teach yourself R in 24 hours
 Seamless R and C++ integration with Rcpp
 Sensory data analysis by example with R
 Simulation for data science with R : harness actionable insights from your data with computational statistics and simulations using R
 Six sigma with R : statistical engineering for process improvement
 Software for data analysis : programming with R
 Solving differential equations in R
 Spatial analytics with ArcGIS : use the spatial statistics tools provided by ArcGIS and build your own to perform complex geographic analysis
 Spatial and spatiotemporal Bayesian models with RINLA
 Speaking 'R' : the language of data science
 Statistical analysis of financial data in R
 Statistical analysis of network data with R
 Statistical analysis of questionnaires : a unified approach based on R and Stata
 Statistical analysis with R
 Statistical analysis with R : beginner's guide : take control of your data and produce superior statistical analyses with R
 Statistical application development with R and Python : power of statistics using R and Python
 Statistical computing with R
 Statistical data analysis explained : applied environmental statistics with R
 Statistical hypothesis testing with SAS and R
 Statistical methods for environmental epidemiology with R : a case study in air pollution and health
 Statistical modelling in R
 Statistical programming With SAS/IML software
 Statistics : an introduction using R
 Statistics and data analysis for microarrays using R and Bioconductor
 Statistics and data with R : an applied approach through examples
 Statistics and data with R : an applied approach through examples
 Statistics for ecologists using R and Excel : data collection, exploration, analysis and presentation
 Statistics for linguistics with R : a practical introduction
 Statistics for machine learning : build supervised, unsupervised, and reinforcement learning models using both Python and R
 Statistics in toxicology using R
 System dynamics modeling with R
 Séries temporelles avec R : Méthodes et cas
 Text analysis with R for students of literature
 The R book
 The R book
 The R book
 The art of R programming : tour of statistical software design
 The book of R : a first course in programming and statistics
 The new statistics with R : an introduction for biologists
 Time series analysis : with applications in R
 Twoway analysis of variance : statistical tests and graphics using R
 Understanding SQL and R : learn how to do data analysis and visualization with SQL and R
 Understanding and applying basic statistical methods using R
 Understanding complexity by clustering data with maching learning and R
 Understanding statistics using R
 Unsupervised learning with R : work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data
 Using R and Hadoop for statistical computation at scale
 Using R for Numerical Analysis in Science and Engineering
 Using R for big data with Spark : handson data analytics in the Cloud using Spark, AWS, SparkR, and more
 Using R for statistics
 Using R with multivariate statistics
 Wavelet methods in statistics with R
 Web Application Development with R using Shiny
 Web application development with R using Shiny : integrate the power of R with the simplicity of Shiny to deliver cuttingedge analytics over the Web
 Writing great R code
 XML and web technologies for data sciences with R
 Zero inflated models and generalized linear mixed models with R
 ggplot2 essentials : explore the full range of ggplot2 plotting capabilities to create meaningful and spectacular graphs
Embed (Experimental)
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.deakin.edu.au/resource/nDejPoRiaw/" typeof="Intangible http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.deakin.edu.au/resource/nDejPoRiaw/">R (Computer program language)</a></span>  <span property="offers" typeOf="Offer"><span property="offeredBy" typeof="Library ll:Library" resource="http://link.library.deakin.edu.au/#Deakin%20University%20Library"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.deakin.edu.au/">Deakin University Library</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data  Experimental
Data Citation of the Concept R (Computer program language)
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.deakin.edu.au/resource/nDejPoRiaw/" typeof="Intangible http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.deakin.edu.au/resource/nDejPoRiaw/">R (Computer program language)</a></span>  <span property="offers" typeOf="Offer"><span property="offeredBy" typeof="Library ll:Library" resource="http://link.library.deakin.edu.au/#Deakin%20University%20Library"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.deakin.edu.au/">Deakin University Library</a></span></span></span></span></div>
Structured data from the Bibframe namespace is licensed under the
Creative
Commons Attribution 4.0 International License by
Deakin University Library.
Additional terms may apply to data associated with third party namespaces.
R (Computer program language)
 Local Identifier
 http://link.library.deakin.edu.au/resource/nDejPoRiaw/
 Network Identifier
 http://library.link/resource/nDejPoRiaw/
Resource Description Namespaces
 http://bibfra.me/vocab/lite/
 http://bibfra.me/vocab/marc/
 http://bibfra.me/vocab/marcext/
 http://bibfra.me/vocab/relation/
 http://creativecommons.org/ns#
 http://library.link/vocab/
 http://ogp.me/
 http://purl.org/dc/terms/
 http://schema.org/
 http://www.w3.org/1999/02/22rdfsyntaxns#
 http://www.w3.org/2000/01/rdfschema#
Network Analysis
 Inbound Links

346 1 Total346 In Library based on 1 Link Type
 Outbound Links

136 2 Total1 To Library based on 1 Link Type135 To Network based on 1 Link Type
 Shared Resources

109 1 Total109 Inbound and 1 Outbound
Shared in Network  135 Libraries
As of 20171212 at 19:25
 http://albioncollege.library.link/resource/nDejPoRiaw
 http://almacollege.library.link/resource/nDejPoRiaw
 http://andrews.library.link/resource/nDejPoRiaw
 http://aadl.library.link/resource/nDejPoRiaw
 http://link.anythinklibraries.org/resource/nDejPoRiaw
 http://aquinas.library.link/resource/nDejPoRiaw
 http://link.arapahoelibraries.org/resource/nDejPoRiaw
 http://link.afpls.org/resource/nDejPoRiaw
 http://link.library.austintexas.gov/resource/nDejPoRiaw
 http://baldwin.library.link/resource/nDejPoRiaw
 http://link.balibrary.org/resource/nDejPoRiaw
 http://link.billericalibrary.org/resource/nDejPoRiaw
 http://link.mybpl.org/resource/nDejPoRiaw
 http://boonecounty.library.link/resource/nDejPoRiaw
 http://link.bu.edu/resource/nDejPoRiaw
 http://link.lib.byu.edu/resource/nDejPoRiaw
 http://link.calgarylibrary.ca/resource/nDejPoRiaw
 http://calvincollege.library.link/resource/nDejPoRiaw
 http://canton.library.link/resource/nDejPoRiaw
 http://link.library.canton.ma.us/resource/nDejPoRiaw
 http://cadl.library.link/resource/nDejPoRiaw
 http://link.crlibrary.org/resource/nDejPoRiaw
 http://cmich.library.link/resource/nDejPoRiaw
 http://link.cvlga.org/resource/nDejPoRiaw
 http://link.ccrls.org/resource/nDejPoRiaw
 http://link.stirling.wa.gov.au/resource/nDejPoRiaw
 http://link.westminster.gov.uk/resource/nDejPoRiaw
 http://clayton.library.link/resource/nDejPoRiaw
 http://link.cpl.org/resource/nDejPoRiaw
 http://link.clevnet.org/resource/nDejPoRiaw
 http://link.cphlibrary.org/resource/nDejPoRiaw
 http://ccs.library.link/resource/nDejPoRiaw
 http://link.crandalllibrary.org/resource/nDejPoRiaw
 http://link.dallaslibrary.org/resource/nDejPoRiaw
 http://link.library.deakin.edu.au/resource/nDejPoRiaw
 http://link.delawarelibrary.org/resource/nDejPoRiaw
 http://link.denverlibrary.org/resource/nDejPoRiaw
 http://link.dmpl.org/resource/nDejPoRiaw
 http://link.dcl.org/resource/nDejPoRiaw
 http://localhost:8000/resource/nDejPoRiaw
 http://emich.library.link/resource/nDejPoRiaw
 http://link.epl.ca/resource/nDejPoRiaw
 http://engineerradcc.library.link/resource/nDejPoRiaw
 http://link.library.eui.eu/resource/nDejPoRiaw
 http://link.evpl.org/resource/nDejPoRiaw
 http://farmington.library.link/resource/nDejPoRiaw
 http://link.forsythpl.org/resource/nDejPoRiaw
 http://link.friscolibrary.com/resource/nDejPoRiaw
 http://link.gpld.org/resource/nDejPoRiaw
 http://grandrapidscc.library.link/resource/nDejPoRiaw
 http://grandrapids.library.link/resource/nDejPoRiaw
 http://gvsu.library.link/resource/nDejPoRiaw
 http://link.gpl.org/resource/nDejPoRiaw
 http://gwinnettpl.library.link/resource/nDejPoRiaw
 http://link.hpl.ca/resource/nDejPoRiaw
 http://link.hcpl.net/resource/nDejPoRiaw
 http://link.haverhillpl.org/resource/nDejPoRiaw
 http://hopecollege.library.link/resource/nDejPoRiaw
 http://link.houstonlibrary.org/resource/nDejPoRiaw
 http://hume.library.link/resource/nDejPoRiaw
 http://link.itascalibrary.org/resource/nDejPoRiaw
 http://link.jericholibrary.org/resource/nDejPoRiaw
 http://joliet.library.link/resource/nDejPoRiaw
 http://link.westfordlibrary.org/resource/nDejPoRiaw
 http://kalamazoocollege.library.link/resource/nDejPoRiaw
 http://kalamazoo.library.link/resource/nDejPoRiaw
 http://link.kdl.org/resource/nDejPoRiaw
 http://kettering.library.link/resource/nDejPoRiaw
 http://lssu.library.link/resource/nDejPoRiaw
 http://link.lvccld.org/resource/nDejPoRiaw
 http://link.lplks.org/resource/nDejPoRiaw
 http://loc.library.link/resource/nDejPoRiaw
 http://link.lincc.org/resource/nDejPoRiaw
 http://link.lbhf.gov.uk/resource/nDejPoRiaw
 http://link.magiclibraries.info/resource/nDejPoRiaw
 http://link.massey.ac.nz/resource/nDejPoRiaw
 http://link.matamatapiako.kotui.org.nz/resource/nDejPoRiaw
 http://link.mcl.org/resource/nDejPoRiaw
 http://link.mvlc.org/resource/nDejPoRiaw
 http://msu.library.link/resource/nDejPoRiaw
 http://mtu.library.link/resource/nDejPoRiaw
 http://link.mountlaurellibrary.org/resource/nDejPoRiaw
 http://link.multcolib.org/resource/nDejPoRiaw
 http://link.napalibrary.org/resource/nDejPoRiaw
 http://link.napervillelib.org/resource/nDejPoRiaw
 http://link.nelson.kotui.org.nz/resource/nDejPoRiaw
 http://link.library.garlandtx.gov/resource/nDejPoRiaw
 http://novi.library.link/resource/nDejPoRiaw
 http://oaklanduniversity.library.link/resource/nDejPoRiaw
 http://link.orl.bc.ca/resource/nDejPoRiaw
 http://link.ocln.org/resource/nDejPoRiaw
 http://olc.library.link/resource/nDejPoRiaw
 http://pekinpl.library.link/resource/nDejPoRiaw
 http://peterwhite.library.link/resource/nDejPoRiaw
 http://plainfieldpublic.library.link/resource/nDejPoRiaw
 http://portage.library.link/resource/nDejPoRiaw
 http://link.livebrary.com/resource/nDejPoRiaw
 http://saginaw.library.link/resource/nDejPoRiaw
 http://link.rcls.org/resource/nDejPoRiaw
 http://redford.library.link/resource/nDejPoRiaw
 http://redondobeach.library.link/resource/nDejPoRiaw
 http://link.lib.rpi.edu/resource/nDejPoRiaw
 http://link.saclibrary.org/resource/nDejPoRiaw
 http://link.sailsinc.org/resource/nDejPoRiaw
 http://link.slcolibrary.org/resource/nDejPoRiaw
 http://link.sfpl.org/resource/nDejPoRiaw
 http://link.smcl.org/resource/nDejPoRiaw
 http://link.snoisle.org/resource/nDejPoRiaw
 http://springarbor.library.link/resource/nDejPoRiaw
 http://link.stcharleslibrary.org/resource/nDejPoRiaw
 http://sterling.library.link/resource/nDejPoRiaw
 http://swan.library.link/resource/nDejPoRiaw
 http://link.tauranga.kotui.org.nz/resource/nDejPoRiaw
 http://threerivers.library.link/resource/nDejPoRiaw
 http://link.tscpl.org/resource/nDejPoRiaw
 http://link.tulsalibrary.org/resource/nDejPoRiaw
 http://link.tynglib.org/resource/nDejPoRiaw
 http://udmercy.library.link/resource/nDejPoRiaw
 http://link.liverpool.ac.uk/resource/nDejPoRiaw
 http://link.lib.umanitoba.ca/resource/nDejPoRiaw
 http://umichdearborn.library.link/resource/nDejPoRiaw
 http://link.library.missouri.edu/resource/nDejPoRiaw
 http://link.libraries.ou.edu/resource/nDejPoRiaw
 http://link.vpl.ca/resource/nDejPoRiaw
 http://link.vaughanpl.info/resource/nDejPoRiaw
 http://link.wakegov.com/resource/nDejPoRiaw
 http://link.wccls.org/resource/nDejPoRiaw
 http://link.library.waubonsee.edu/resource/nDejPoRiaw
 http://waynestate.library.link/resource/nDejPoRiaw
 http://link.westchesterlibraries.org/resource/nDejPoRiaw
 http://wmich.library.link/resource/nDejPoRiaw
 http://link.westlakelibrary.org/resource/nDejPoRiaw
 http://link.wfpl.net/resource/nDejPoRiaw
 http://link.worthingtonlibraries.org/resource/nDejPoRiaw
 http://link.yumalibrary.org/resource/nDejPoRiaw
Processing Feedback ...