図書

The R series

図書を表すアイコン

The R series

資料種別
図書
著者
Chambers, John M.
出版者
CRC Press
出版年
-
資料形態
ページ数・大きさ等
-
NDC
-
すべて見る

資料に関する注記

一般注記:

Series editors: John M. Chambers, et al

関連資料・改題前後資料

Nonparametric statistical methods using R外部サイトStatistical computing with R外部サイトDisplaying time series, spatial, and space-time data with R外部サイトBookdown : authoring books and technical documents with R Markdown外部サイトDynamic documents with R and knitr外部サイトR graphics外部サイトR and MATLAB外部サイトExtending R外部サイトStated preference methods using R外部サイトImplementing reproducible research外部サイトData science in R : a case studies approach to computational reasoning and problem solving外部サイトMultiple factor analysis by example using R外部サイトBasics of matrix algebra for statistics with R外部サイトAdvanced R外部サイトThe essentials of data science : knowledge discovery using R外部サイトGeocomputation with R外部サイトEvent history analysis with R外部サイトCustomer and business analytics : applied data mining for business decision making using R外部サイトAdvanced R外部サイトThe R primer外部サイトComputational actuarial science with R外部サイトDisplaying time series, spatial, and space-time data with R外部サイトSpatio-temporal statistics with R外部サイトPractical R for mass communication and journalism外部サイトIntroduction to scientific programming and simulation using with R外部サイトLearn R : as a language外部サイトEvent history analysis with R外部サイトSpatial sampling with R外部サイトRasch measurement theory analysis in R外部サイトR Markdown cookbook外部サイトR for political data science : a practical guide外部サイトReproducible research with R and RStudio外部サイトR Markdown : the definitive guide外部サイトDynamic documents with R and knitr外部サイトProgramming graphical user interfaces in R外部サイトReproducible finance with R : code flows and shiny apps for portfolio analysis外部サイトReproducible research with R and RStudio外部サイトAnalyzing baseball data with R外部サイトUsing R for numerical analysis in science and engineering外部サイトHandbook of educational measurement and psychometrics using R外部サイトGrowth curve analysis and visualization using R外部サイトAnalyzing baseball data with R外部サイトR graphics外部サイトSpatial microsimulation with R外部サイトStatistical computing in C++ and R外部サイトGraphical data analysis with R外部サイトTesting R code外部サイトAnalyzing sensory data with R外部サイトAdvanced R外部サイトFlexible regression and smoothing : using GAMLSS in R外部サイトParallel computing for data science : with examples in R, C++ and CUDA外部サイトUsing R for introductory statistics外部サイトIntroductory fisheries analyses with R外部サイトComputational actuarial science with R外部サイトHands-on machine learning with R外部サイトStatistical inference via data science : a ModernDive, into R and the tidyverse外部サイトUsing R for modelling and quantitative methods in fisheries外部サイトGeocomputation with R外部サイトUsing the R commander : a point-and-click interface for the R外部サイトDose-response analysis using R外部サイトStatistical inference via data science : a ModernDive, into R and the tidyverse外部サイトBehavior analysis with machine learning using R外部サイトInteractive web-based data visualization with R, plotly, and shiny外部サイトUsing R for Bayesian spatial and spatio-temporal health modeling外部サイトUsing R for modelling and quantitative methods in fisheries外部サイトLearn R : as a language外部サイトSpatial microsimulation with R外部サイトThe essentials of data science : knowledge discovery using R外部サイトAdvanced R solutions外部サイトANOVA and mixed models : a short introduction using R外部サイトSpatial data science : with applications in R外部サイトUsing R for Bayesian spatial and spatio-temporal health modeling外部サイトInteractive web-based data visualization with R, plotly, and shiny外部サイトHandbook of educational measurement and psychometrics using R外部サイトR for political data science : a practical guide外部サイトANOVA and mixed models : a short introduction using R外部サイトR for conservation and development projects : a primer for practitioners外部サイトFlexible regression and smoothing : using GAMLSS in R外部サイトAnalyzing US census data : methods, maps, and models in R外部サイトStatistical inference via data science : a ModernDive into R and the tidyverse外部サイトTidy finance with R外部サイトModern data visualization with R外部サイトReproducible research with R and RStudio外部サイトLearning microeconometrics with R外部サイト

書店で探す

目次

  • Nonparametric statistical methods using R

  • Statistical computing with R

  • Displaying time series, spatial, and space-time data with R

  • Bookdown : authoring books and technical documents with R Markdown

  • Dynamic documents with R and knitr

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資料種別
図書
タイトル
出版事項
並列タイトル等
Chapman & Hall/CRC the R series
出版地(国名コード)
us
対象利用者
一般
一般注記
Series editors: John M. Chambers, et al
関連情報
Nonparametric statistical methods using R
Statistical computing with R
Displaying time series, spatial, and space-time data with R
Bookdown : authoring books and technical documents with R Markdown
Dynamic documents with R and knitr
R graphics
R and MATLAB
Extending R
Stated preference methods using R
Implementing reproducible research
Data science in R : a case studies approach to computational reasoning and problem solving
Multiple factor analysis by example using R
Basics of matrix algebra for statistics with R
Advanced R
The essentials of data science : knowledge discovery using R
Geocomputation with R
Event history analysis with R
Customer and business analytics : applied data mining for business decision making using R
Advanced R
The R primer
Computational actuarial science with R
Displaying time series, spatial, and space-time data with R
Spatio-temporal statistics with R
Practical R for mass communication and journalism
Introduction to scientific programming and simulation using with R
Learn R : as a language
Event history analysis with R
Spatial sampling with R
Rasch measurement theory analysis in R
R Markdown cookbook
R for political data science : a practical guide
Reproducible research with R and RStudio
R Markdown : the definitive guide
Dynamic documents with R and knitr
Programming graphical user interfaces in R
Reproducible finance with R : code flows and shiny apps for portfolio analysis
Reproducible research with R and RStudio
Analyzing baseball data with R
Using R for numerical analysis in science and engineering
Handbook of educational measurement and psychometrics using R
Growth curve analysis and visualization using R
Analyzing baseball data with R
R graphics
Spatial microsimulation with R
Statistical computing in C++ and R
Graphical data analysis with R
Testing R code
Analyzing sensory data with R
Advanced R
Flexible regression and smoothing : using GAMLSS in R
Parallel computing for data science : with examples in R, C++ and CUDA
Using R for introductory statistics
Introductory fisheries analyses with R
Computational actuarial science with R
Hands-on machine learning with R
Statistical inference via data science : a ModernDive, into R and the tidyverse
Using R for modelling and quantitative methods in fisheries
Geocomputation with R
Using the R commander : a point-and-click interface for the R
Dose-response analysis using R
Statistical inference via data science : a ModernDive, into R and the tidyverse
Behavior analysis with machine learning using R
Interactive web-based data visualization with R, plotly, and shiny
Using R for Bayesian spatial and spatio-temporal health modeling
Using R for modelling and quantitative methods in fisheries
Learn R : as a language
Spatial microsimulation with R
The essentials of data science : knowledge discovery using R
Advanced R solutions
ANOVA and mixed models : a short introduction using R
Spatial data science : with applications in R
Using R for Bayesian spatial and spatio-temporal health modeling
Interactive web-based data visualization with R, plotly, and shiny
Handbook of educational measurement and psychometrics using R
R for political data science : a practical guide
ANOVA and mixed models : a short introduction using R
R for conservation and development projects : a primer for practitioners
Flexible regression and smoothing : using GAMLSS in R
Analyzing US census data : methods, maps, and models in R
Statistical inference via data science : a ModernDive into R and the tidyverse
Tidy finance with R
Modern data visualization with R
Reproducible research with R and RStudio
Learning microeconometrics with R