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R Primer

frequently encountered by new users of this statistical software. This new edition adds coverage of R Studio and reproducible research.;

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R Primer Chapman HallCRC The R Series

frequently encountered by new users of this statistical software. This new edition adds coverage of R Studio and reproducible research.;

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Reproducible Research with R and R Studio

All the Tools for Gathering and Analyzing Data and Presenting Results Reproducible Research with R and RStudio;

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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;

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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;

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Bayesian Networks

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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R In Finance And Economics

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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Introduction to Mathematics for Economics with R

through foundational topics in linear algebra, calculus, and optimization. The book is organized in order of increasing difficulty, beginning with;

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Learning RStudio for R Statistical Computing

A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with;

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R for Conservation and Development Projects

Simple English format Foundation sections on inference and evidence, and data integration in project management Exploration of R usage;

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R for Conservation and Development Projects

Simple English format Foundation sections on inference and evidence, and data integration in project management Exploration of R usage;

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Using R for Data Analysis in Social Sciences

substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist;

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An Introduction to the Advanced Theory and Practice of Nonparametric Econometrics

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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Getting Started with R

, 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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Experimental Design for Laboratory Biologists

, 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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Experimental Design for Laboratory Biologists

, 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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The Special Educator's Book Of Lists

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 Social Science Data with R

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 Social Science Data with R

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

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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R Markdown

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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R Markdown

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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Geospatial Health Data

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

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

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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