Télécharger Learning RStudio for R Statistical Computing (English Edition) PDF

Titre	Learning RStudio for R Statistical Computing (English Edition)
Nom de fichier	learning-rstudio-for_aLOxa.pdf
	learning-rstudio-for_UDQ1y.mp3
Une longueur de temps	56 min 02 seconds
Classification	Opus 192 kHz
Publié	3 years 8 months 11 days ago
Taille	1,384 KiloByte
Nombre de pages	208 Pages

Learning RStudio for R Statistical Computing (English Edition)

Catégorie: Santé, Forme et Diététique, Humour, Sciences, Techniques et Médecine
Auteur: Alessandra Hazard, Colm Toibin
Éditeur: Sandra Brown, Cara Dee
Publié: 2017-12-28
Écrivain: Graham T. Allison
Langue: Chinois, Anglais, Hollandais, Croate
Format: pdf, Livre audio

tools - IDE alternatives for R programming (RStudio ... - Rbox - This package is a collection of several packages to run R via Atom editor. Use below for more IDEs: RKWard - an easy to use and easily extensible IDE/GUI for R Tinn-R - Tinn-R Editor - GUI for R Language and Environment. R AnalyticFlow - data analysis software that utilizes the R environment for statistical computing. Rgedit - a text ...

Download the RStudio IDE - RStudio - RStudio is a set of integrated tools designed to help you be more productive with R. It includes a console, syntax-highlighting editor that supports direct code execution, and a variety of robust tools for plotting, viewing history, debugging and managing your workspace.

Statistical Learning | edX - Computing is done in R. There are lectures devoted to R, giving tutorials from the ground up, and progressing with more detailed sessions that implement the techniques in each chapter. The lectures cover all the material in An Introduction to Statistical Learning, with Applications in R by James, Witten, Hastie and Tibshirani (Springer, 2013 ...

1 Introduction | R for Data Science - 1 Introduction. Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. The goal of “R for Data Science” is to help you learn the most important tools in R that will allow you to do data science.

Correlation Analyses in R - Easy Guides - Wiki - STHDA - This chapter contains articles for computing and visualizing correlation analyses in R. Recall that, correlation analysis is used to investigate the association between two or more variables. A simple example, is to evaluate whether there is a link between maternal age and child’s weight at birth.

Beautiful dendrogram visualizations in R: 5+ must known ... - x: an object of the type produced by hclust(); labels: A character vector of labels for the leaves of the default value is row names. if labels = FALSE, no labels are drawn.; hang: The fraction of the plot height by which labels should hang below the rest of the plot.A negative value will cause the labels to hang down from 0. main, sub, xlab, ylab: character strings for title.

SPSS - Wikipedia - SPSS Statistics is a software package used for interactive, or batched, statistical produced by SPSS Inc., it was acquired by IBM in 2009. Current versions (post 2015) have the brand name: IBM SPSS Statistics. The software name originally stood for Statistical Package for the Social Sciences (SPSS), reflecting the original market, then later changed to Statistical Product and ...

CRAN: Contributed Documentation - Contributed Documentation. Note: The CRAN area for contributed documentation is frozen and no longer actively maintained. English--- Other Languages. Manuals, tutorials, etc. provided by users of R. The R core team does not take any responsibility for contents, but we appreciate the effort very much and encourage everybody to contribute to this list!

R for Data Science: Import, Tidy, Transform ... - He is an active memberof the R community, has written and contributed to over 30 R packages, and won the John Chambers Award for Statistical Computing for his work developing tools for data reshaping and visualization. His research focuses on how to make data analysis better, faster and easier, with a particular emphasis on the use of visualization to better understand data and models.

GitHub - qinwf/awesome-R: A curated list of awesome R ... - TERR - TIBCO Enterprise Runtime for R. Learning R. Packages for Learning R. swirl - An interactive R tutorial directly in your R console. DataScienceR - a list of R tutorials for Data Science, NLP and Machine Learning. Resources. Where to discover new R-esources. Websites Manuals. R-project - The R Project for Statistical Computing.

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