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Report writing for data science in R

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Computers - Lectures, monographs
Report writing for data science in R

Report writing for data science in R

Roger D. Peng

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Որքա՞ն է ձեզ դուր եկել այս գիրքը:

Ինչպիսի՞ն է բեռնված ֆայլի որակը:

Բեռնեք գիրքը` գնահատելու դրա որակը

Ինչպիսի՞ն է բեռնված ֆայլերի որակը:

This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever.

Կատեգորիաներ:

Computers - Lectures, monographs

Տարի:

2016

Հրատարակչություն:

Leanpub

Լեզու:

english

Ֆայլ:

EPUB, 3.28 MB

IPFS:

,

english, 2016

Կարդալ Առցանց

Փոխարկումը դեպի կատարվում է

Փոխարկումը դեպի ձախողվել է

Ձեզ կարող է հետաքրքրել

Roger D Peng — Exploratory Data Analysis with R

Brian Caffo — Statistical Inference for Data Science - A Companion to the Coursera Statistical Inference Course

Roger D. Peng — Exploratory data analysis with R

Roger D. Peng, Sean Kross, Brooke Anderson — Mastering software development in R

Victor Eijkhout — The computer science of TeX and LaTeX

it-ebooks — the practice of reproducible research

Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez — Data Science in Education Using R

Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez [Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez] — Data Science in Education Using R

Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez — Data Science in Education Using R

Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez [Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez] — Data Science in Education Using R

Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez — Data Science in Education Using R

Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez [Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez] — Data Science in Education Using R

Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez — Data Science in Education Using R

Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez — Data Science in Education Using R

Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez — Data Science in Education Using R

Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez — Data Science in Education Using R

Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez — Data Science in Education Using R

Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez — Data Science in Education Using R

Ryan A. Estrellado & Emily A. Freer & Jesse Mostipak & Joshua M. Rosenberg & Isabella C. Velásquez — Data Science in Education Using R

Roger D. Peng — Report Writing for Data Science in R (2019 Update)

Roger D. Peng — Report Writing for Data Science in R

Roger D. Peng — Report writing for data science in R

Michael Freeman, Joel Ross — Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R

Christopher Gandrud (Author) — Reproducible Research with R and RStudio

Christopher Gandrud — Reproducible Research with R and RStudio

Ryan A. Estrellado, Emily A. Freer, Jesse Mostipak, Joshua M. Rosenberg, Isabella C. Velásquez — Data Science in Education Using R

Yihui Xie — R Markdown Cookbook (Chapman & Hall/CRC The R Series)

Deniz, Fatma;Kitzes, Justin;Turek, Daniel — The practice of reproducible research: case studies and lessons from the data-intensive sciences

Justin Kitzes (editor) — The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences

Yihui Xie; Christophe Dervieux; Emily Riederer — R Markdown Cookbook (Chapman & Hall/CRC The R Series)

TOM. ALBY — Data Science in Practice

Yihui Xie — bookdown: Authoring Books and Technical Documents with R Markdown

Leisch, Friedrich; Peng, Roger D.; Stodden, Victoria — Implementing Reproducible Research

Yihui Xie, Amber Thomas, Alison Presmanes Hill — blogdown: Creating Websites with R Markdown

Victoria Stodden; Friedrich Leisch; Roger D Peng — Implementing Reproducible Research

Christopher Gandrud — Reproducible Research with R and RStudio

Nicholas J. Horton, Ken Kleinman — Using R and RStudio for Data Management, Statistical Analysis and Graphics

Nicholas J Horton; Ken Kleinman — Using R and RStudio for data management, statistical analysis, and graphics

Thomas Mailund — Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

Thomas Mailund — Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

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