R (Computer program language)
概要
| 作品: | 358 作品在 189 項出版品 189 種語言 | |
|---|---|---|
書目資訊
A Beginner's guide to GLM and GLMM with R : = a frequentist and Bayesian perspective for ecologists /
by:
(書目-語言資料,印刷品)
Automated data collection with R : = a practical guide to Web scraping and text mining /
by:
(書目-語言資料,印刷品)
Nonparametric hypothesis testing = rank and permutation methods with applications in R /
by:
(書目-電子資源)
From experimental network to meta-analysis = methods and applications with R for agronomic and environmental sciences /
by:
(書目-電子資源)
Learn business analytics in six steps using SAS and R = a practical, step-by-step guide to learning business analytics /
by:
(書目-電子資源)
Introduction to deep learning using R = a step-by-step guide to learning and implementing deep learning models using R /
by:
(書目-電子資源)
Business case analysis with R = simulation tutorials to support complex business decisions /
by:
(書目-電子資源)
Learn R for applied statistics = with data visualizations, regressions, and statistics /
by:
(書目-電子資源)
Data science in R : = a case studies approach to computational reasoning and problem solving /
by:
(書目-語言資料,印刷品)
Introduction to statistics and data analysis = with exercises, solutions and applications in R /
by:
(書目-電子資源)
Big data analytics with R : = utilize R to uncover hidden patterns in your big data /
by:
(書目-語言資料,印刷品)
Advanced analytics in power BI with R and Python = ingesting, transforming, visualizing /
by:
(書目-電子資源)
Statistical methods for environmental epidemiology with R = a case study in air pollution and health /
by:
(書目-語言資料,印刷品)
Permutation tests for stochastic ordering and ANOVA = theory and applications with R /
by:
(書目-語言資料,印刷品)
Multivariate nonparametric methods with R = an approach based on spatial signs and ranks /
by:
(書目-語言資料,印刷品)
Introduction to data analysis and graphical presentation in biostatistics with R = statistics in the large /
by:
(書目-電子資源)
An introduction to R for quantitative economics = graphing, simulating and computing /
by:
(書目-電子資源)
Statistical analysis of questionnaires : = a unified approach based on R and Stata /
by:
(書目-語言資料,印刷品)
Functional programming in R = advanced statistical programming for data science, analysis and finance /
by:
(書目-電子資源)
Corpus linguistics and statistics with R = introduction to quantitative methods in linguistics /
by:
(書目-電子資源)
Applied analytics through case studies using SAS and R = implementing predictive models and machine learning techniques /
by:
(書目-電子資源)
Advanced R statistical programming and data models = analysis, machine learning, and visualization /
by:
(書目-電子資源)
Pricing export credit = a concise framework with examples and implementation code in R /
by:
(書目-電子資源)
Beginning data science in R 4 = data analysis, visualization, and modelling for the data scientist /
by:
(書目-電子資源)
Essentials of Excel VBA, Python, and R.. Volume II,. Financial derivatives, risk management and machine learning
by:
(書目-電子資源)
Data visualization for social and policy research = a step-by-step approach using R and Python /
by:
(書目-電子資源)
Practical time series analysis : = prediction with statistics and machine learning /
by:
(書目-語言資料,印刷品)
Regression-based normative data for psychological assessment = a hands-on approach using R /
by:
(書目-電子資源)
Applied multiple imputation = advantages, pitfalls, new developments and applications in R /
by:
(書目-電子資源)
Quantile regression for cross-sectional and time series data = applications in energy markets using R /
by:
(書目-電子資源)
A course on small area estimation and mixed models = methods, theory and applications in R /
by:
(書目-電子資源)
Measuring productivity in education and not-for-profits = with tools and examples in R /
by:
(書目-電子資源)
Extending Power BI with Python and R : = ingest, transform, enrich and visualize data using the power of analytic languages /
by:
(書目-語言資料,印刷品)
Pro data visualization using R and Javascript = analyze and visualize key data on the web /
by:
(書目-電子資源)
Kernel methods for machine learning with Math and R = 100 exercises for building logic /
by:
(書目-電子資源)
Practical business analytics using R and Python = solve business problems using a data-driven approach /
by:
(書目-電子資源)
Functional programming in R 4 = advanced statistical programming for data science, analysis, and finance /
by:
(書目-電子資源)
R crash course for biologists : = an introduction to R for bioinformatics and biostatistics /
by:
(書目-語言資料,印刷品)
Applied linear regression for business analytics with R = a practical guide to data science with case studies /
by:
(書目-電子資源)
更多
較少的
主題