図書

The R series

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The R series

Material type
図書
Author
Chambers, John M.
Publisher
CRC Press
Publication date
-
Material Format
Paper
Capacity, size, etc.
-
NDC
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Notes on use

Note (General):

Series editors: John M. Chambers, et al

Related materials as well as pre- and post-revision versions

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Paper

Material Type
図書
Publication, Distribution, etc.
Alternative Title
Chapman & Hall/CRC the R series
Place of Publication (Country Code)
us
Target Audience
一般
Note (General)
Series editors: John M. Chambers, et al
Related Material
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
Analyzing baseball data with R
Reproducible research with R and RStudio
Learning microeconometrics with R