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frequently encountered by new users of this statistical software. This new edition adds coverage of R Studio and reproducible research.;
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All the Tools for Gathering and Analyzing Data and Presenting Results Reproducible Research with R and RStudio;
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Provides researchers with a reproducible research workflow for using R/RStudio to make the entire researchprocess reproducible; from data;
Vergelijkbare producten zoals Reproducible Research with R and RStudio
Provides researchers with a reproducible research workflow for using R/RStudio to make the entire researchprocess reproducible; from data;
Vergelijkbare producten zoals Reproducible Research with R and RStudio
Explains the material step-by-step starting from meaningful examples Steps detailed with R code in the spirit of reproducible research Real;
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This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics;
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through foundational topics in linear algebra, calculus, and optimization. The book is organized in order of increasing difficulty, beginning with;
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A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with;
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Simple English format Foundation sections on inference and evidence, and data integration in project management Exploration of R usage;
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Simple English format Foundation sections on inference and evidence, and data integration in project management Exploration of R usage;
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substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist;
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Practice (2007). The open source R platform for statistical computing and graphics is used throughout in conjunction with the R package np. Recent;
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, physical, social, and engineering sciences. Getting Started with R is now the go-to introductory guide for biologists wanting to learn how to use R;
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, with low bias, high precision, and widely applicable results. With specific examples from research using both cell cultures and model organisms;
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, with low bias, high precision, and widely applicable results. With specific examples from research using both cell cultures and model organisms;
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This unique time-saving resource for the special education teacher provides 192 reproducible lists brimming with useful facts that cover;
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quantitative research and data every student needs. Gradually introducing applied statistics and the language and functionality of R and R Studio;
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quantitative research and data every student needs. Gradually introducing applied statistics and the language and functionality of R and R Studio;
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Machine Learning with R, tidyverse, and mlr teaches readers how to gain valuable insights from their data using the powerful R programming;
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with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown. J.J;
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with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown. J.J;
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geographic and temporal patterns, identify risk factors, and measure inequalities. Geospatial Health Data: Modeling and Visualization with R-INLA and;
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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment;
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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment;
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