R (Computer program language)
概要
| 作品: | 107 作品在 68 項出版品 68 種語言 | |
|---|---|---|
書目資訊
Two-way analysis of variance[electronic resource] :statistical tests and graphics using R /
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Biostatistics with R[electronic resource] :an introduction to statistics through biological data /
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Hidden Markov models for time series[electronic resource] :an introduction using R /
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Introduction to scientific programming and simulation using R[electronic resource] /
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Combinatorial pattern matching algorithms in computational biology using Perl and R[electronic resource] /
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SAS and R[electronic resource] :data management, statistical analysis, and graphics /
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Statistical data analysis explained[electronic resource] :applied environmental statistics with R /
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Introduction to data analysis with R for forensic scientists[electronic resource] /
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Statistics for linguistics with R [electronic resource]:a practical introduction /
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Contingency table analysis[electronic resource] :methods and implementation using R /
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Introduction to data analysis and graphical presentation in biostatistics with R[electronic resource] :statistics in the large /
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Doing Bayesian data analysis[electronic resource] :a tutorial with R, JAGS, and stan /
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Adaptive tests of significance using permutations of residuals with R and SAS[electronic resource] /
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Nonparametric hypothesis testing[electronic resource] :rank and permutation methods with applications in R /
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Modern industrial statistics[electronic resource] :with applications in R, MINITAB and JMP /
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Humanities data in R[electronic resource] :exploring networks, geospatial data, images, and text /
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Statistical analysis and data display[electronic resource] :an intermediate course with examples in R /
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Geochemical modelling of igneous processes - principles and recipes in R language[electronic resource] :bringing the power of R to a geochemical community /
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Bayesian data analysis in ecology using linear models withR, Bugs, and Stan[electronic resource] /
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Introduction to nonparametric statistics for the biological sciences using R[electronic resource] /
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Automated trading with R[electronic resource] :quantitative research and platform development /
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Working with the American community survey in R[electronic resource] :a guide to using the acs package /
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Learning social media analytics with R :transform data from social media platforms into actionable insights /
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Introduction to deep learning using R :a step-by-step guide to learning and implementing deep learning models using R /
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An introduction to data analysis using aggregation functions in R[electronic resource] /
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Introduction to statistics and data analysis[electronic resource] :with exercises, solutions and applications in R /
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Joint models for longitudinal and time-to-event data[electronic resource] :with applications in R /
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Using R and RStudio for data management, statistical analysis, and graphics[electronic resource] /
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Comparative approaches to using R and Python for statistical data analysis[electronic resource] /
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Marketing data science :modeling techniques in predictive analytics with R and Python /
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Statistical analysis of questionnaires[electronic resource] :a unified approach based on R and Stata /
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Financial analytics with R[electronic resource] :building a laptop laboratory for data science /
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Applied social network analysis with R[electronic resource] :emerging research and opportunities /
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Supervised machine learning[electronic resource] :optimization framework and applications with SAS and R /
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