図書

Use R!

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Use R!

資料種別
図書
著者
series editors, Robert Gentleman, Kurt Hornik, Giovanni Parmigiani
出版者
Springer
出版年
-
資料形態
ページ数・大きさ等
-
NDC
-
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目次

  • Solving differential equations in R

  • XML and web technologies for data sciences with R

  • Applied spatial data analysis with R

  • Modeling dose-response microarray data in early drug development experiments using R

  • Numerical ecology with R

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資料種別
図書
タイトル
著者・編者
series editors, Robert Gentleman, Kurt Hornik, Giovanni Parmigiani
出版事項
出版地(国名コード)
us
対象利用者
一般
関連情報
Solving differential equations in R
XML and web technologies for data sciences with R
Applied spatial data analysis with R
Modeling dose-response microarray data in early drug development experiments using R
Numerical ecology with R
ggplot2 : elegant graphics for data analysis
Graphical models with R
Analysis of phylogenetics and evolution with R
Bayesian computation with R
Analysis of phylogenetics and evolution with R
Functional and phylogenetic ecology in R
Data manipulation with R
Computerized adaptive and multistage testing with R : using packages catR and mstR
Introducing Monte Carlo methods with R
Seamless R and C++ integration with Rcpp
Data mining with Rattle and R : the art of excavating data for knowledge discovery
Modern psychometrics with R
Learn ggplot2 using shiny App
Analysis of integrated and cointegrated time series with R
Chemometrics with R : multivariate data analysis in the natural sciences and life sciences
Bayesian networks in R : with applications in systems biology
Bayesian computation with R
R for marketing research and analytics
Behavioral research data analysis with R
Bioconductor case studies
Wavelet methods in statistics with R
Modern optimization with R
Analysis of integrated and cointegrated time series with R
Semiparametric regression with R
Elements of copula modeling with R
Nonlinear regression with R
Business analytics for managers
A primer of ecology with R
Applied statistical genetics with R : for population-based association studies
Epidemics : models and data using R
Heart rate variability analysis with the R package RHRV
Statistical analysis of network data with R
Mixture and hidden Markov models with R
R through Excel : a spreadsheet interface for statistics, data analysis, and graphics
Applied spatial data analysis with R
Applied survival analysis using R
Meta-analysis with R
A beginner's guide to R
Simulation and inference for stochastic processes with YUIMA : a comprehensive R framework for SDEs and other stochastic processes
Primer to analysis of genomic data using R
Multistate Analysis of Life Histories with R
A user's guide to network analysis in R
R for marketing research and analytics
Functional data analysis with R and MATLAB
Biostatistics with R : an introduction to statistics through biological data
Magnetic resonance brain imaging : modeling and data analysis using R
Political analysis using R
Bayesian cost-effectiveness analysis with the R package BCEA
Lattice : multivatiate data visualization with R
Forest analytics with R : an introduction
R by example
Quality control with R : an ISO standards approach
Six sigma with R : statistical engineering for process improvement
Ggplot2 : elegant graphics for data analysis
Sound analysis and synthesis with R
Modeling psychophysical data in R
Introduction to probability simulation and Gibbs sampling with R
Introductory time series with R
Numerical ecology with R
Statistical analysis of network data with R
Statistical methods for environmental epidemiology with R : a case study in air pollution and health
An introduction to applied multivariate analysis with R
Data wrangling with R
Analyzing Compositional Data with R
Morphometrics with R
Competing risks and multistate models with R
Interactive and dynamic graphics for data analysis : with R and GGobi
Dynamic linear models with R
Applied econometrics with R
Audit analytics : data science for the accounting profession
Chemometrics with R : multivariate data analysis in the natural sciences and life sciences
Discrete choice analysis with R
An introduction to data analysis in R : hands-on coding, data mining, visualization and statistics from scratch
Retirement Income Recipes in R : From Ruin Probabilities to Intelligent Drawdowns
Random Forests with R
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国立情報学研究所 : CiNii Research